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ORCID37th Australasian Joint Conference on Artificial Intelligence 2024: Melbourne, VIC, Australia - Part I
- Mingming Gong
, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang:
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. Lecture Notes in Computer Science 15442, Springer 2025, ISBN 978-981-96-0347-3
Knowledge Representation and NLP
- Zhen Zhao, Brian Kenneth Erickson, Shantanu Chakraborty, Wei Liu:
DELA: Dual Embedding Using LSTM and Attention for Asset Tag Inference in Industrial Automation Systems. 3-15 - Aaron Hunter:
Combined Change Operators for Trust and Belief. 16-28 - Lachlan McGinness, Peter Baumgartner, Esther Onyango, Zelalem Lema:
Highlighting Case Studies in LLM Literature Review of Interdisciplinary System Science. 29-43 - Azmi, Meladel Mistica, Inbar Levy, Eduard H. Hovy:
Legal Judgment Prediction Through Argument Analysis. 44-58 - Wangli Yang, Jie Yang, Wanqing Li, Yi Guo:
Conditional Prototypical Optimal Transport for Enhanced Clue Identification in Multiple Choice Question Answering. 59-72 - Ambuje Gupta, Mrinal Rawat, Andreas Stolcke, Roberto Pieraccini:
REFINE on Scarce Data: Retrieval Enhancement Through Fine-Tuning via Model Fusion of Embedding Models. 73-85 - Zhengxin Fang, Hui Ma, Gang Chen, Sven Hartmann, Chen Wang:
Leveraging LLM in Genetic Programming Hyper-heuristics for Dynamic Microservice Deployment. 86-97 - Tianren Zhao, Hua Zuo, Guangquan Zhang:
Bidirectional Dependency Representation Disentanglement for Time Series Classification. 98-110 - Hsu Myat Win, Sebastian Rodriguez, John Thangarajah, Andrew Warhurst:
SCODA - Framework for Software Capability Representation and Inspection. 111-123 - Alastair Kho, Duc-Son Pham, Susannah Soon, Kit Yan Chan:
Some Considerations for the Preservation of Endangered Languages Using Low-Resource Machine Translation. 124-135
Trustworthy and Explainable AI
- David Quashigah Dzakpasu, Jixue Liu, Jiuyong Li, Lin Liu:
Improving Intersectional Group Fairness Using Conditional Generative Adversarial Network and Transfer Learning. 139-153 - Alshehri Nojoud, Lin Yuhao:
GPT-4 Attempting to Attack AI-Text Detectors. 154-170 - Vivian Wei Jiang, Gustavo Batista, Michael Bain:
Charting a Fair Path: FaGGM Fairness-Aware Generative Graphical Models. 171-185 - Yihan Bao, Abdul Karim Obeid, Daniel Angus, Julian Bagnara, Christopher Leckie:
Shedding Light on Greenwashing: Explainable Machine Learning for Green Ad Detection. 186-197 - Samad Roohi, Richard Skarbez, Hien Duy Nguyen:
Beyond Factualism: A Study of LLM Calibration Through the Lens of Conversational Emotion Recognition. 198-212 - Rei Ozaki, Atsuyoshi Nakamura:
Ensuring Fairness in Stochastic Multi-armed Bandit Problems for Effective Group Recommendations. 213-227 - Chris Lee, Eduardo Benítez Sandoval, Francisco Cruz:
Human Decision-Making Concepts with Goal-Oriented Reasoning for Explainable Deep Reinforcement Learning. 228-240 - Anh Le Van, Karin Verspoor, Thomas B. Kirk, Andy Song:
Towards Explainable Deep Learning for Non-melanoma Skin Cancer Diagnosis. 241-254
Machine Learning and Data Mining
- Yanyan Wang, Hailu Jia, Yu Pan, Hongxia Bai:
Localization System Enhanced with CDLPE: A Low-Cost, Resilient Map-Matching Algorithm. 257-272 - Xueyang Kang, Fengze Han, Abdur Razzaq Fayjie, Patrick Vandewalle, Kourosh Khoshelham, Dong Gong:
FocDepthFormer: Transformer with Latent LSTM for Depth Estimation from Focal Stack. 273-290 - Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen:
TSI: A Multi-view Representation Learning Approach for Time Series Forecasting. 291-302 - Chen Wang, Erik Behrens, Hui Ma, Gang Chen, Victoria Huang:
Climate Downscaling Monthly Coastal Sea Surface Temperature Using Convolutional Neural Network and Composite Loss. 303-315 - Haohui Chen, Claire M. Mason, Qinyong Wang, Yanchang Zhao:
DBSSM: Deep BERT-Based Semantic Skill Matching from Resumes to a Public Skill Taxonomy. 316-328 - Zaher Joukhadar, Jonathan Morgan, Christopher Bayliss, Miguel Ortiz del Castillo, Jack McRobbie, Robert Mearns, Krista A. Ehinger, Benjamin I. P. Rubinstein, Richard O. Sinnott, Michele Trenti, James Bailey:
Designing an Adaptive AI System for Operation on Board the SpIRIT Nano-Satellite. 329-341 - Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu:
LSTM Autoencoder-Based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction. 342-353 - Siping Chen, Debiao Li, Nasimul Noman, Kyle Robert Harrison, Raymond Chiong:
An Improved Prescriptive Tree-Based Model for Stochastic Parallel Machine Scheduling. 354-365 - Htoo Wai Aung, Ying Guo, Jiaming Li, Geoffrey Lee, Zili Zhu:
Economic Graph Lottery Ticket: A GNN Based Economic Forecasting Model. 366-380 - Patrick Liston, Charles Gretton, Artem Lensky:
Pattern-Based Trading by Continual Learning of Price and Volume Patterns. 381-393 - Qiyuan Zhu, Alex Kai Qin, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska:
An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting. 394-407
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