AI 2024: Advances in Artificial Intelligence
Gong, Mingming Song, Yiliao Koh, Yun Sing Xiang, Wei Wang, Derui
Gong, Mingming
Song, Yiliao
Koh, Yun Sing
Xiang, Wei
Wang, Derui
Supervisor
Department
Machine Learning
Embargo End Date
Type
Conference proceeding
Date
2025
License
Language
English
Collections
Research Projects
Organizational Units
Journal Issue
Abstract
This two-volume set LNAI 15442-15443 constitutes the refereed proceedings of the 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, held in Melbourne, VIC, Australia, during November 25-29, 2024.
The 59 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions.
Part 1: Knowledge Representation and NLP; Trustworthy and Explainable AI; Machine Learning and Data Mining.
Part 2: Reinforcement Learning and Robotics; Learning Algorithms; Computer Vision; AI for Healthcare.
Citation
M. Gong, Y. Song, Y. S. Koh, W. Xiang, and D. Wang, Eds., “AI 2024: Advances in Artificial Intelligence,” vol. 15443, 2025, doi: 10.1007/978-981-96-0351-0.
Source
37th Australasian Joint Conference on Artificial Intelligence
Conference
AI: Australasian Joint Conference on Artificial Intelligence
Keywords
Machine Learning, Deep Learning, Reinforcement Learning, Data Mining, Knowledge Representation, Neural Networks, Optimization, Computer Vision, Natural Language Processing, Human-Computer Interaction, Large Language Model, Trustworthy Machine Learning, Explainable Machine Learning
Subjects
Source
AI: Australasian Joint Conference on Artificial Intelligence
Publisher
Springer Nature