AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning - Paperback
AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning - Paperback
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by Min Wu (Editor), Emadeldeen Eldele (Editor), Zhenghua Chen (Editor)
This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advance algorithms that are transforming time series analysis across industries.
Author Biography
Min Wu is currently a Principal Scientist at Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore.
Emadeldeen Eldele is an Assistant Professor at Khalifa University, UAE.
Zhenghua Chen is a Senior Lecture (Associate Professor) at University of Glasgow, UK.
Shirui Pan is a Professor and an ARC Future Fellow with the School of Information and Communication Technology, Griffith University, Australia.
Qingsong Wen is currently the Head of AI & Chief Scientist at Squirrel Ai Learning.
Xiaoli Li is currently Head of the Information Systems Technology and Design (ISTD) Pillar at Singapore University of Technology and Design (SUTD).
