The 21st Australasian Data Science and Machine Learning Conference (AUSDM'23)
Auckland, New Zealand, 11-13 December 2023Online Conference Proceedings
The Springer online conference proceedings can be accessed at the following link:
https://link.springer.com/book/10.1007/978-981-99-8696-5
Free access will be granted for 4 weeks, between 7 Dec 2023 to 15 January 2024.
Accepted Papers
Research Track
Nan Yang, Laicheng Zhong, Fan Huang, Wei Bao and Dong Yuan. Random Padding Data Augmentation
Shaowen Tang and Raymond Wong Unsupervised Fraud Detection on Sparse Rating Networks
Ying Cui, Louise McMillan and Ivy Liu Semi-supervised model-based clustering for ordinal data
Ali Anaissi, Yuanzhe Jia, Ali Braytee, Mohamad Naji and Widad Alyassine Damage GAN: A Generative Model for Imbalanced Data
Michael Longland, David Liebowitz, Kristen Moore and Salil Kanhere Text-Conditioned Graph Generation Using Discrete Graph Variational Autoencoders
Liang Tang, Qianqian Qi, Qinghua Shang, Yuguang Cai, Jiamou Liu, Michael Witbrock and Kaokao Lv Boosting QA Performance through SA-Net and AA-Net with the Read+Verify Framework
Sadeq Darrab, Harshitha Allipilli, Sana Ghani, Harikrishnan Changaramkulath, Sricharan Koneru, David Broneske and Gunter Saake Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives
Manh Khoi Duong and Stefan Conrad Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes
Kamaladdin Fataliyev and Wei Liu MStoCast: Multimodal Deep Network for Stock Market Forecast
Sayed Waleed Qayyumi, Laurence Park and Oliver Obst Few shot and transfer learning with manifold distributed datasets
Din Sangrasi, Lei Wang, Markus Hagenbuchner and Peng Wang Mitigating The Adverse Effects of Long-tailed Data on Deep Learning Models
Chunyu Wang, Qi Chen, Bing Xue and Mengjie Zhang Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression
Tulika Shrivastava, Basem Suleiman and Muhammad Johan Alibasa Hybrid Models for Predicting Cryptocurrency Price using Financial and Non-Financial Indicators
Applications Track
Amit Vurgaft Multi-Dimensional Data Visualization for Analyzing Materials
Tobias Milz, Elizabeth Macpherson and Varvara Vetrova Law in Order: An Open Legal Citation Network for New Zealand
Li Xiao, Samaneh Madanian, Weihua Li and Yuchun Xiao Enhancing Resource Allocation in IT Projects: The Potentials of Deep Learning-Based Recommendation Systems and Data-Driven Approaches
Fathima Nuzla Ismail, Abira Sengupta, Brendon J. Woodford and Sherlock Licorish A Comparison of One-class versus Two-class Machine Learning Models for Wildfire Prediction in California
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue and Mengjie Zhang Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming
Prathayne Nanthakumaran and Liwan Liyanage Comparison of Interpolation techniques for Prolonged Exposure Estimation: A Case Study on Seven years of Daily Nitrogen Oxide in Greater Sydney
Sedigh Khademi, Christopher Palmer, Muhammad Javed, Gerardo Luis Dimaguila, Jim Buttery and Jim Black Detecting asthma presentations from emergency department notes: An active learning approach
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Contact Us
Email: ausdm2023@googlegroups.com
Twitter: https://twitter.com/ausdm23
Facebook: https://www.facebook.com/ausdm23
Sigmoid Social: https://sigmoid.social/@ausdm23