AI 2024: Advances in Artificial Intelligence: 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25–29, 2024, Proceedings, Part I(15442 Lecture Notes in Computer Science)

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.

Table of Contents:
.- 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 Models. .- Shedding Light on Greenwashing: Explainable Machine Learning for Green Ad Detection. .- Beyond Factualism: A Study of LLM Calibration through the Lens of Conversational Emotion Recognition. .- Ensuring Fairness in Stochastic Multi-Armed Bandit Problems for Effective Group Recommendations. .- Human Decision-Making Concepts with Goal-Oriented Reasoning for Explainable Deep Reinforcement Learning. .- Towards Explainable Deep Learning for Non-melanoma Skin Cancer Diagnosis. .- Machine Learning and Data Mining. .- Localization System Enhanced with CDLPE: A Low-Cost, Resilient Map-Matching Algorithm. .- FocDepthFormer: Transformer with latent LSTM for Depth Estimation from Focal Stack. .- TSI: A Multi-View Representation Learning Approach for Time Series Forecasting. .- Climate Downscaling Monthly Coastal Sea Surface Temperature Using Convolutional Neural Network and Composite Loss. .- DBSSM: Deep BERT-based Semantic Skill Matching from Resumes to a Public Skill Taxonomy. .- Designing an Adaptive AI System for Operation on Board the SpIRIT Nano-satellite. .- LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction. .- An Improved Prescriptive Tree-based Model for Stochastic Parallel Machine Scheduling. .- Economic Graph Lottery Ticket: A GNN based Economic Forecasting Model. .- Pattern-based Trading by Continual Learning of Price and Volume Patterns. .- An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting.