The 197 full papers and 89 short papers included in this book were carefully reviewed and selected from 679 submissions.
The papers are organized in the following topical sections:
Part I:Clustering, Representation Learning, and Learning Systems; Deep learning; Graph learning
Part II: Evolutionary Learning, Transfer and Continual Learning; Real-world Applications
Part III: Human-Centric AI; Large Language Models
Part IV: Interpretability, Fairness, and Trustworthy AI; Multi-Agent; Natural Language Processing; Planning, Scheduling, and Optimisation
Part V: Computer Vision; Time Series Analysis