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

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    Website http://mlmi.net/ | Want to Edit it Edit Freely

    Category Machine Learning and Machine Intelligence

    Deadline: June 25, 2024 | Date: August 02, 2024-August 04, 2024

    Venue/Country: Osaka, Japan

    Updated: 2024-04-10 17:55:06 (GMT+9)

    Call For Papers - CFP

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

    Osaka, Japan | August 2-4, 2024

    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 (*All the previous Conference Proceedings have been archived in ACM Digital Library and have been indexed by Ei Compendex & Scopus.)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 mlmi_contactat163.com as attachment

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

    Contact Us

    Conference Secretary: Miss Joie Wu

    Email: mlmi_contactat163.com

    Tel: +86-18302820449

    Website: http://mlmi.net/

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


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.