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21st AusDM 2023: Auckland, New Zealand
- Diana Benavides-Prado
, Sarah M. Erfani
, Philippe Fournier-Viger
, Yee Ling Boo
, Yun Sing Koh
:
Data Science and Machine Learning - 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023, Proceedings. Communications in Computer and Information Science 1943, Springer 2024, ISBN 978-981-99-8695-8
Research Track
- Nan Yang
, Laicheng Zhong
, Fan Huang
, Wei Bao
, Dong Yuan
:
Random Padding Data Augmentation. 3-18 - Shaowen Tang, Raymond Wong:
Unsupervised Fraud Detection on Sparse Rating Networks. 19-33 - Ying Cui, Louise McMillan
, Ivy Liu
:
Semi-supervised Model-Based Clustering for Ordinal Data. 34-47 - Ali Anaissi
, Yuanzhe Jia, Ali Braytee
, Mohamad Naji, Widad Alyassine:
Damage GAN: A Generative Model for Imbalanced Data. 48-61 - Michael Longland, David Liebowitz, Kristen Moore, Salil S. Kanhere:
Text-Conditioned Graph Generation Using Discrete Graph Variational Autoencoders. 62-74 - 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. 75-89 - Sadeq Darrab, Harshitha Allipilli, Sana Ghani, Harikrishnan Changaramkulath, Sricharan Koneru, David Broneske, Gunter Saake:
Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives. 90-104 - Manh Khoi Duong
, Stefan Conrad
:
Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes. 105-120 - Kamaladdin Fataliyev
, Wei Liu
:
MStoCast: Multimodal Deep Network for Stock Market Forecast. 121-136 - Sayed Waleed Qayyumi
, Laurence A. F. Park
, Oliver Obst
:
Few-Shot and Transfer Learning with Manifold Distributed Datasets. 137-149 - Din Muhammad Sangrasi, Lei Wang, Markus Hagenbuchner, Peng Wang:
Mitigating the Adverse Effects of Long-Tailed Data on Deep Learning Models. 150-162 - Chunyu Wang, Qi Chen
, Bing Xue, Mengjie Zhang:
Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. 163-176 - Tulika Shrivastava
, Basem Suleiman
, Muhammad Johan Alibasa
:
Hybrid Models for Predicting Cryptocurrency Price Using Financial and Non-Financial Indicators. 177-191
Application Track
- Amit Vurgaft
:
Multi-dimensional Data Visualization for Analyzing Materials. 195-210 - Tobias Milz
, Elizabeth Macpherson
, Varvara Vetrova
:
Law in Order: An Open Legal Citation Network for New Zealand. 211-225 - 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. 226-238 - 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. 239-253 - Qurrat Ul Ain
, Bing Xue
, Harith Al-Sahaf
, Mengjie Zhang
:
Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming. 254-269 - 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. 270-283 - 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. 284-298
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