International Conference on Machine Learning and Machine Intelligence on July 25-27, 2025 in Kyoto, Japan

International Conference on Machine Learning and Machine Intelligence on July 25-27, 2025 in Kyoto, Japan

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

 

Contact Us:

Conference Secretary: Miss Joie Wu

Email: [email protected]

Tel: +86-18302820449

Website: http://mlmi.net/

 

 

Topics:

Topics of interest for submission include, but are not limited to:

Track 1: Deep Learning and Neural Architectures

-Architectural Advances

-Efficient Training Techniques

Track 2: Reinforcement Learning and Sequential Decision Making

-Advanced Reinforcement Learning Algorithms

-Multi-Agent Reinforcement Learning

Track 3: Applied Machine Intelligence

-Machine Learning in Healthcare

-AI in Robotics

Track 4: Natural Language Processing and Multimodal Learning

-Large Language Models

-Multilingual and Low-Resource NLP

Track 5: Emerging Paradigms and Future Directions

-Quantum Machine Learning

-Federated and Distributed Learning

Track 6: Explainable, Ethical, and Human-Centered AI

-Explainable AI (XAI)

-Ethical AI and Fairness

 

Name: International Association of Computer Science and Information Technology
Website: http://www.iacsit.org/

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