Data Science and Machine Learning

23rd Australasian Conference, AusDM 2025, Brisbane, QLD, Australia, November 26–28, 2025, Proceedings

This book constitutes the proceedings of the 23rd Australasian Conference on Data Science and Machine Learning, AusDM 2025, held in Brisbane, Australia, during November 26-28, 2025.

The 37 full papers presented in this book were carefully reviewed and selected from 99 submissions.

This book constitutes the proceedings of the 23rd Australasian Conference on Data Science and Machine Learning, AusDM 2025, held in Brisbane, Australia, during November 26-28, 2025.

The 37 full papers presented in this book were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections: (1) Federated, Adaptive and Trustworthy Machine Learning; (2) Environment, Information Security and Productivity; (3) Deep Learning Fusion and Vision; (4) Health and Social Good and (5) Knowledge-Driven and Domain Specific AI. They deal with topics around data science, machine learning and also AI in everyday life.

Contributor: Richi Nayak (Edited by), Paul Kwan (Edited by), Yuefeng Li (Edited by), Yee Ling Boo (Edited by), Quang Vinh Nguyen (Edited by), Yanchang Zhao (Edited by)

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