AI 2024: Advances in Artificial Intelligence: 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, Novem [Paperback]

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.

.- Knowledge Representation and NLP.
.- DELA: Dual Embedding Using LSTM and Attention for Asset Tag Inference in Industrial Automation Systems.
.- Combined Change Operators for Trust and Belief.
.- Highlighting Case Studies in LLM Literature Review of Interdisciplinary System Science.
.- Legal Judgment Prediction through Argument Analysis.
.- Conditional Prototypical Optimal Transport for Enhanced Clue Identification in Multiple Choice Question Answering.
.- REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models.
.- Leveraging LLM in Genetic Programming Hyper-Heuristics for Dynamic Microservice Deployment.
.- Bidirectional Dependency Representation Disentanglement for Time Series Classification.
.- SCODA - A Framework for Software Capability Representation and Inspection.
.- Some Considerations for the Preservation of Endangered Languages Using Low-Resource Machine Translation.
.- Trustworthy and Explainable AI.
.- Improving Intersectional Group Fairness Using Conditional Generative Adversarial Network and Transfer Learning.
.- GPT-4 Attempting to Attack AI-Text Detectors.
.- Charting a Fair Path: FaGGM Fairness-aware Generative Graphical Modell“Ï