AusDM

Keyphrases

Publications

volume 1943, 2024

Data Science and Machine Learning - 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023, Proceedings AusDM 1943 (2024)

2023

Prathayne Nanthakumaran, Liwan Liyanage
Comparison of Interpolation Techniques for Prolonged Exposure Estimation: A Case Study on Seven Years of Daily Nitrogen Oxide in Greater Sydney. AusDM (2023)
Tulika Shrivastava, Basem Suleiman, Muhammad Johan Alibasa
Hybrid Models for Predicting Cryptocurrency Price Using Financial and Non-Financial Indicators. AusDM (2023)
Ali Anaissi, Yuanzhe Jia, Ali Braytee, Mohamad Naji, Widad Alyassine
Damage GAN: A Generative Model for Imbalanced Data. AusDM (2023)
Fathima Nuzla Ismail, Abira Sengupta, Brendon J. Woodford, Sherlock A. Licorish
A Comparison of One-Class Versus Two-Class Machine Learning Models for Wildfire Prediction in California. AusDM (2023)
Nan Yang, Laicheng Zhong, Fan Huang, Wei Bao, Dong Yuan
Random Padding Data Augmentation. AusDM (2023)
Michael Longland, David Liebowitz, Kristen Moore, Salil S. Kanhere
Text-Conditioned Graph Generation Using Discrete Graph Variational Autoencoders. AusDM (2023)
Sayed Waleed Qayyumi, Laurence A. F. Park, Oliver Obst
Few-Shot and Transfer Learning with Manifold Distributed Datasets. AusDM (2023)
Kamaladdin Fataliyev, Wei Liu
MStoCast: Multimodal Deep Network for Stock Market Forecast. AusDM (2023)
Din Muhammad Sangrasi, Lei Wang, Markus Hagenbuchner, Peng Wang
Mitigating the Adverse Effects of Long-Tailed Data on Deep Learning Models. AusDM (2023)
Sedigh Khademi, Christopher Palmer, Muhammad Javed, Gerardo Luis Dimaguila, Jim P. Buttery, Jim Black
Detecting Asthma Presentations from Emergency Department Notes: An Active Learning Approach. AusDM (2023)
Li Xiao, Samaneh Madanian, Weihua Li, Yuchun Xiao
Enhancing Resource Allocation in IT Projects: The Potentials of Deep Learning-Based Recommendation Systems and Data-Driven Approaches. AusDM (2023)
Amit Vurgaft
Multi-dimensional Data Visualization for Analyzing Materials. AusDM (2023)
Ying Cui, Louise McMillan, Ivy Liu
Semi-supervised Model-Based Clustering for Ordinal Data. AusDM (2023)
Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang
Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. AusDM (2023)
Shaowen Tang, Raymond Wong
Unsupervised Fraud Detection on Sparse Rating Networks. AusDM (2023)
Tobias Milz, Elizabeth Macpherson, Varvara Vetrova
Law in Order: An Open Legal Citation Network for New Zealand. AusDM (2023)
Sadeq Darrab, Harshitha Allipilli, Sana Ghani, Harikrishnan Changaramkulath, Sricharan Koneru, David Broneske, Gunter Saake
Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives. AusDM (2023)
Manh Khoi Duong, Stefan Conrad
Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes. AusDM (2023)
Liang Tang, Qianqian Qi, Qinghua Shang, Yuguang Cai, Jiamou Liu, Michael Witbrock, Kaokao Lv
Boosting QA Performance Through SA-Net and AA-Net with the Read+Verify Framework. AusDM (2023)
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang
Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming. AusDM (2023)

2022

volume 1741, 2022

Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, Proceedings AusDM 1741 (2022)

2021

volume 1504, 2021

Data Mining - 19th Australasian Conference on Data Mining, AusDM, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings AusDM 1504 (2021)