About the Workshop

Computational Intelligence and Machine Learning have emerged as the driving forces behind advancements in the field of information technology. Rapid progress in related domains not only offers fresh perspectives for scientific inquiry but also exerts profound impacts across a myriad of practical applications. This workshop “Advances in Computational Intelligence and Machine Learning: Applications and Innovations” aims to explore the latest developments in Computational Intelligence and Machine Learning, showcasing their practical applications and innovations across various domains.
This workshop will encompass the following aspects:

  • Theory and Methods: We will delve into the latest theories and methods within the realms of Computational Intelligence and Machine Learning. This includes, but is not limited to, Deep Learning, Reinforcement Learning, Evolutionary Algorithms, Fuzzy Logic, Genetic Algorithms, and more. Discussions will revolve around the principles, advantages, and applications of these methodologies across diverse problem domains.
  • Practical Applications: Emphasis will be placed on the application of Computational Intelligence and Machine Learning in real-world scenarios. This encompasses Natural Language Processing, Computer Vision, Medical Diagnostics, and Financial Forecasting, among other fields. We will explore how these applications are reshaping our lives and work processes, as well as discuss their potential impacts and challenges.
  • Innovation and Future Trends: Discussions will center around the innovations and future trends in Computational Intelligence and Machine Learning. This includes emerging algorithms, novel application domains, and new research directions. We will explore how these innovations drive technological advancements and societal developments, while also deliberating on potential future directions and challenges.

Through this workshop, we aim to provide a platform for participants to exchange ideas and learn from one another, fostering collaboration and innovation within the realms of Computational Intelligence and Machine Learning. By facilitating dialogue and knowledge-sharing, we seek to propel advancements in these fields, addressing the increasingly complex and diverse technological and societal challenges of our time.

Submission and Publication

The accepted workshop paper will be published in the special issue "Advances in Computational Intelligence and Machine Learning: Applications and Innovations" of the Memetic Computing journal, which has an impact factor of 4.7 in the Science Citation Index (SCI). For more information, please visit Memetic Computing Journal. Please submit your paper using the following link: Submit Here.
In the submission system, navigate to the 'Details' tab, and in the 'Collection' section, select "Special Issue on Advances in Computational Intelligence and Machine Learning: Applications and Innovations" as illustrated here:

Organizers

Ong Yew Soon

asysong@ntu.edu.sg

School of Computer Science and Engineering
Nanyang Technological University
Block N4, 2a-28, Nanyang Avenue, Singapore

Huanhuan Chen

hchen@ustc.edu.cn

School of Computer Science and Technology
University of Science and Technology of China
Hefei, Anhui, China

Shan He

s.he@cs.bham.ac.uk

School of Computer Science
University of Birmingham
Edgbaston, Birmingham, B15 2TT, UK

Bing Xue

Bing.Xue@ecs.vuw.ac.nz

School of Engineering and Computer Science
Victoria University of Wellington
Wellington, New Zealand