This book features the latest research and advancements in machine learning and machine intelligence, such as deep learning algorithms, natural language processing, computer vision, reinforcement learning, and their applications in various fields including healthcare, finance, and robotics. This book serves as a valuable resource for researchers, practitioners, and students interested in the state-of-the-art in this rapidly evolving field.

Yen-Wei Chen, Ritsumeikan University, College of Information Science and Engineering, Kusatsu, Japan

Yen-Wei Chen received the BE degree from Kobe University, Kobe, Japan, in 1985 and the ME and DE degrees from Osaka University, Osaka, Japan, in 1987 and 1990, respectively. From 1991 to 1994, he was a research fellow with the Institute of Laser Technology, Osaka, Japan. From October 1994 to March 2004, he was an associate professor and a professor with the Department of Electrical and Electronic Engineering, University of the Ryukyus, Okinawa, Japan. He is currently a professor with the College of Information Science and Engineering, Ritsumeikan University, Kyoto, Japan. He was a visiting professor with Oxford University, Oxford, United Kingdom, in 2003 and with Pennsylvania State University, Pennsylvania, in 2010. He is also a visiting professor with the College of Computer Science and Technology, Zhejiang University, Hangzhou, China, and the Zhejing Lab, Hangzhou, China. He is an associate editor for the International Journal of Image and Graphics (IJIG), and the International Journal of Knowledge-Based and Intelligent Engineering Systems. His research focuses on computer vision, medical image analysis, and machine learning. He has published more than 300 research papers in these fields. He received various awards, such as Best Paper Award of ICPR2012 and the Paper Award of the Medical Imaging Technology (Journal).

James Tin-Yau Kwok, Hong Kong University of Science and Technology, Hong Kong, China

Prof Kwok is a Professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. He is an IEEE Fellow. Prof Kwok received his B.Sc. degree in Electrical and Electronic Engineering from the University of Hong Kong and his Ph.D. degree in computer science from the Hong Kong University of Science and Technology. He then joined the Department of Computer Science, Hong Kong Baptist University as an Assistant Professor. He returned to the Hong Kong University of Science and Technology and is now a Professor in the Department of Computer Science and Engineering. He is serving/served as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Neurocomputing, Artificial Intelligence Journal, International Journal of Data Science and Analytics, and an Action Editor of Machine Learning. He is also serving as Senior Area Chairs of major machine learning/AI conferences including NeurIPS, ICML, ICLR, IJCAI, and as Area Chairs of conferences including AAAI and ECML. He is on the IJCAI Board of Trustees. He is recognized as the Most Influential Scholar Award Honorable Mention for "outstanding and vibrant contributions to the field of AAAI/IJCAI between 2009 and 2019", an inaugural Highly Ranked Scholar by ScholarGPS, and among the Top 2% scientists (by Stanford University) since it was established in 2021. Prof Kwok is the IJCAI-2025 Program Chair and PAKDD-2026 General Chair.