2024 International Conference on Machine Learning and Cybernetics (ICMLC)

Introduction

The International Conference on Machine Learning and Cybernetics (ICMLC) is entering its 23rd year while the International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR) is marching towards its 21st anniversary, we are all excited and committed to our vision: organizing good quality international conferences that provide valuable educational services to young researchers in the Asia region, particularly researchers in China.

ICMLC and ICWAPR 2024 will also offer a leading platform for participants from academia and industry to exchange and develop research ideas on Machine Learning, Cybernetics, and Wavelet Analysis, with special focus this year on adversarial learning, generative adversarial network, and uncertainty modelling.

In addition to keynote speakers, the two conferences offer free tutorials, research consultation sessions, Lotfi Zadeh Best Paper Awards, Ph.D. Consultation, special issues of SCI indexed journals, and plenty of opportunities for you to build up your own professional network while you can come and meet with the Editors-In-Chief, IEEE Fellows and the IEEE Systems, Man and Cybernetics Society leaders.

Authors are invited to submit original papers that contain significant research results, development work, and innovative practices. The conferences will be held in Miyazaki, Japan on 20-23 September 2024.

Call for paper

Important date

2024-05-24

Draft paper submission deadline

The 23rd International Conference on Machine Learning and Cybernetics (ICMLC) and the 21st International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR) will be held in Miyazaki, Japan, on 20-23 September 2024.

ICMLC and ICWAPR offer a leading platform for participants from academia and industry to exchange and develop research ideas on Machine Learning, Cybernetics and Wavelet Analysis, with special focus this year on adversarial learning, generative adversarial network, and uncertainty modelling.

Review and Publication

The manuscripts should be between 4 to 6 pages in the IEEE conference format. Additional pages will be charged. Please check the website for the details. All submissions will be peer-reviewed by at least TWO reviewers.
All papers will be:
- Submitted for consideration for inclusion and indexing by IEEE Xplore (http://ieeexplore.ieee.org/)
- Submitted for indexing to EI Compendex
- Selected papers will be recommended for publication in special issues of SCI indexed journals

Special Features

Free Tutorial
Lotfi Zadeh Best Paper Awards
Keynote Speaker

Tracks

Machine Learning: Kevin Wong, Murdoch University, Austrialia
Cybernetics: Tadahiko Murata, Osaka Univeristy, Japan
Uncertainty Modeling in Deep Learning: Xizhao Wang, Shenzhen University, China
AI Safety and Ethics: Daniel Yeung, Hong Kong
AI for Security and Security of AI: Patrick Chan, South China University of Technology, China and Battista Biggio, University of Cagliari, Italy

Topics of Interest

Original research involving machine learning and cybernetics ranging from theoretical investigation to real world applications. Examples include but are not limited to the following: