The list of accepted papers
You can view all accepted papers HERE !
📚 The official AusDM 2025 Proceedings are published by Springer.
Conference participants can access the volume free of charge for a limited time:
Research Track
No.4
Multi-Faceted Content Representation: An Adaptive Framework for Comprehensive Textual Insight
Chintan Rajesh Pamnani and Parth Kapadia
No.14
DAARA: Divergence-Aware Attention for Robust Aggregation in Federated Learning Against Poisoning Attacks
Md Palash Uddin, Mahmdul Hasan and Yong Xiang
No.15
Understanding the Asymmetric Impact of Forecast Accuracy on Decision Quality
Mahdi Abolghasemi and Richard Bean
No.22
Fusing Deep Object Detectors via Spatial Heatmap-Based Relevance Modeling
Anqi Xiong, Yuefeng Li, Yanming Feng, Xiaohui Tao and Jianming Yong
No.29
WaveFSL: Wave Interference-Based Meta-Learning for Few-Shot Cross-Modality Traffic Forecasting
Abdul Fofanah, Lian Wen, David Chen, Shaoyang Zhang and Alpha Kamara
No.34
FedMOAR: Multi-Objective Adaptive Regularization for Fair and Efficient Federated Learning
Mahmudul Hasan, Md Palash Uddin, Yong Xiang, John Yearwood and Longxiang Gao
No.35
CarDamageEval: Benchmark Evaluation of Car Damage Assessment Using Vision Language Models
Md Jahid Hasan, Cong Kha Nguyen, Yee Ling Boo, Hamed Jahani and Kok-Leong Ong
No.38
Sketching Uncertainty: Novel Approaches to Streaming Quantile Estimation in Financial Markets
Quang-Vinh Dang
No.43
Unveiling Reliability in Multi-Omics Classification: Fusion, Calibration, and Dynamic Scaling
Dang Khoa Nguyen, Duoyi Zhang, Md Abul Bashar and Richi Nayak
No.46
Stability Evaluation of Clusterings Across Time
Sergej Korlakov, Nina A. Liebrand and Stefan Conrad
No.48
ETCOD: Embedding-Based Anomaly Detection and LLM-Driven Validation Framework for Knowledge Graphs
Thi Thuy Nga Nguyen, Asara Senaratne and Leelanga Seneviratne
No.50
Regularizing StyleGAN with Inter-Resolution Residual Pattern Consistency via a Laplacian Pyramid
Takahiro Koide and Keisuke Kameyama
No.54
Top-k Ranking with Exact Positional Fairness
Nina A. Liebrand and Stefan Conrad
No.63
Mixup and Local-FOMA based Two-Phase Manifold Augmentation in Image Classification
Takumi Shirahama and Keisuke Kameyama
No.65
BARE: Boundary-Aware with Resolution Enhancement for Tree Crown Delineation
Attavit Wilaiwongsakul, Bin Liang, Wenfeng Jia, Bryan Zheng and Fang Chen
No.66
Evaluating Structural Preprocessing in RAG for Academic Curriculum Applications
Gizem Intepe, Yingtong Liang and Laurence Park
No.72
Integrating Vision Transformers and Autoencoders for Interpretable Cancer Risk Assessment
Ahmad Hussein, Mukesh Prasad, Ali Anaissi and Ali Braytee
No.82
From Burst to Routine: Mining Time-Compact Patterns from Sequential Dataset
Khanh Luong, Daniel Angus, Yufan Kang, Abdul Obeid and Dan Tran
No.89
LightSkinNet: Lightweight CNN with Attention for Accurate, Mobile-Efficient Multiclass Skin Lesion Classification
F M Javed Mehedi Shamrat, Xujuan Zhou, Mohd Yamani Idna Idris, Raj Gururajan and Ka Ching Chan
No.90
DriftSense: Adaptive Drift Detection with Incremental Hoeffding Trees for Real-Time Spatial Crowdsourcing
Md Mujibur Rahman, Quazi Mamun, Michael Bewong and Md Zahidul Islam
No.91
A Parameter-free Method Tuning for Multi-scale Wildfire Images Retrieval Task
Yue Zhang
No.92
NeuroPhysNet: A FitzHugh-Nagumo-Based Physics-Informed Neural Network Framework for Electroencephalograph (EEG) Analysis and Motor Imagery Classification
Zhenyu Xia, Xinlei Huang, Yuantong Gu and Suvash Saha
No.95
A DenseNet-YOLOv8 Fusion Model for Intelligent Parasite Egg Detection and Classification
Muhammad Bilal Zia, Xujuan Zhou, Raj Gururajan and Ka Ching Chan
No.99
Dynamic Meta-Learning Ensemble for Financial Forecasting
Hanxue Yao and Irena Koprinska
No.100
Evaluating Multimodal Clinical Classification with Real and GAN generated Synthetic Data
Suchit Patel, Manik Gupta and Mei-Tai Chu
Application Track
No.11
An AI-Driven Framework for Real-Time Reporting and Identification of Lost Cats
Dezhou Zhang, Xiaodan Dong and Weidong Huang
No.24
Effective Missing-Data Imputation for Time Series with Seasonality and Causality
Devesh Bhogal, Yanchang Zhao, Reena Kapoor, Tapas Biswas, Peter Toscas and Klaus Joehnk
No.25
Advancing Atayal Language Preservation with AI-Driven Multimodal Speech and Text Processing
Jia-Lien Hsu and Wei-Yuan Li
No.30
Benchmarking Preprocessing and Integration Methods in Single-Cell Genomics
Ali Anaissi, Seid Miad Zandavi, Weidong Huang, Junaid Akram, Basem Suleiman, Ali Braytee and Jie Hua
No.31
Towards Automated Differential Diagnosis of Skin Diseases Using Deep Learning and Imbalance-Aware Strategies
Ali Anaissi, Ali Braytee, Weidong Huang, Junaid Akram, Alaa Farhat and Jie Hua
No.33
UniCausal: A Unified Approach to Causal Discovery from Hybrid Industrial Time Series and Events
Zhen Zhao, Brian Erickson, Shantanu Chakraborty and Wei Liu
No.47
Dynamic Source Code Vulnerability Characteristics Selection for Enhanced Vulnerability Discover
Abdur Rehman Khan, Yue Xu and Yuefeng Li
No.56
Causal Recommendation Method for Personalised Chemotherapy Optimisation in Breast Cancer
Tuyen Vu, Thuc Duy Le, Ha Xuan Tran, Lin Liu, Jiuyong Li and Jia Tina Du
No.74
Machine Learning for Traffic Accident Prediction: Integrating Spatial and Behavioral Data for Road Safety Insights
Sudarat Sukjaroen, Xiaodan Dong, S.T. Boris Choy and Weidong Huang
No.77
Modelling Financial Time Series of Returns and Covariance Matrices Using Time-Space Transformers
Xiaodan Dong, Kittituch Wongwatcharapaiboon, Sugi Guanjing Lee, Jennifer S.K. Chan and Weidong Huang
No.79
Evaluating Cross-Lingual Classification Strategies Enabling Topic Discovery for Multilingual Social Media Data
Deepak Uniyal, Md Abul Bashar and Richi Nayak
No.83
Visionary: Enhancing Visual Context for the Visually Impaired
Pranav Powar and Amit Agarwal
No.94
Temporal Fusion of Biophysical and Climate Data: A Data-Driven Hybrid Learning Approach for Short-Term Aboveground Biomass Forecasting
Han Xu, Thirunavukarasu Balasubramaniam and Richi Nayak
No.101
Precision to Costing: Budgeted Modelling for Customer Contact Prediction
Ho Sing Tin, Richi Nayak and Darren Wraith
No.102
Defining Responsible AI: Contextual Insights Powered by LLMs
Lucky Atamhenwan, Sangeetha Kutty and Lily D Li