| 2024 | ForCM: Forest Cover Mapping from Multispectral Sentinel-2 Image by Integrating Deep Learning with Object-Based Image Analysis. | Maisha Haque, Israt Jahan Ayshi, Sadaf M. Anis, Nahian Tasnim, Mithila Moontaha, Md. Sabbir Ahmed, Muhammad Iqbal Hossain, Mohammad Zavid Parvez, Subrata Chakraborty, Biswajeet Pradhan, Biswajit Banik |
| 2024 | Multi-choice Solutions for Feature and Parameter Importance. | Daniel Vidali Fryer, David Lowing, Inga Strmke, Hien Duy Nguyen |
| 2024 | SecEval: A Security Evaluation Dataset for Large Language Models. | Huining Cui, Wei Liu |
| 2024 | Classifying Maritime Vessel Behaviour from AIS Using Statistical Features. | James Cormack, Matthew Roughan, Hung X. Nguyen |
| 2024 | Identifying Individual Anchoring Regions by Mining Public Transport Smart Card Data. | Megan Born, Mark Reynolds, Rachel Cardell-Oliver |
| 2024 | GRADIOOD: A Framework for Out-of-Distribution Sample Identification Using Signed Gradients for Robust Models. | Dalha Alotaibi, Jianlong Zhou, Yifei Dong, Fang Chen |
| 2023 | Random Padding Data Augmentation. | Nan Yang, Laicheng Zhong, Fan Huang, Wei Bao, Dong Yuan |
| 2023 | Enhancing Resource Allocation in IT Projects: The Potentials of Deep Learning-Based Recommendation Systems and Data-Driven Approaches. | Li Xiao, Samaneh Madanian, Weihua Li, Yuchun Xiao |
| 2023 | Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. | Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang |
| 2023 | Multi-dimensional Data Visualization for Analyzing Materials. | Amit Vurgaft |
| 2023 | Unsupervised Fraud Detection on Sparse Rating Networks. | Shaowen Tang, Raymond K. Wong |
| 2023 | Boosting QA Performance Through SA-Net and AA-Net with the Read+Verify Framework. | Liang Tang, Qianqian Qi, Qinghua Shang, Yuguang Cai, Jiamou Liu, Michael Witbrock, Kaokao Lv |
| 2023 | Hybrid Models for Predicting Cryptocurrency Price Using Financial and Non-Financial Indicators. | Tulika Shrivastava, Basem Suleiman, Muhammad Johan Alibasa |
| 2023 | Mitigating the Adverse Effects of Long-Tailed Data on Deep Learning Models. | Din Muhammad Sangrasi, Lei Wang, Markus Hagenbuchner, Peng Wang |
| 2023 | Few-Shot and Transfer Learning with Manifold Distributed Datasets. | Sayed Waleed Qayyumi, Laurence A. F. Park, Oliver Obst |
| 2023 | Comparison of Interpolation Techniques for Prolonged Exposure Estimation: A Case Study on Seven Years of Daily Nitrogen Oxide in Greater Sydney. | Prathayne Nanthakumaran, Liwan Liyanage |
| 2023 | Law in Order: An Open Legal Citation Network for New Zealand. | Tobias Milz, Elizabeth Macpherson, Varvara Vetrova |
| 2023 | Text-Conditioned Graph Generation Using Discrete Graph Variational Autoencoders. | Michael Longland, David Liebowitz, Kristen Moore, Salil S. Kanhere |
| 2023 | Detecting Asthma Presentations from Emergency Department Notes: An Active Learning Approach. | Sedigh Khademi, Christopher Palmer, Muhammad Javed, Gerardo Luis Dimaguila, Jim P. Buttery, Jim Black |
| 2023 | A Comparison of One-Class Versus Two-Class Machine Learning Models for Wildfire Prediction in California. | Fathima Nuzla Ismail, Abira Sengupta, Brendon J. Woodford, Sherlock A. Licorish |
| 2023 | MStoCast: Multimodal Deep Network for Stock Market Forecast. | Kamaladdin Fataliyev, Wei Liu |
| 2023 | Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes. | Manh Khoi Duong, Stefan Conrad |
| 2023 | Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives. | Sadeq Darrab, Harshitha Allipilli, Sana Ghani, Harikrishnan Changaramkulath, Sricharan Koneru, David Broneske, Gunter Saake |
| 2023 | Semi-supervised Model-Based Clustering for Ordinal Data. | Ying Cui, Louise McMillan, Ivy Liu |
| 2023 | Damage GAN: A Generative Model for Imbalanced Data. | Ali Anaissi, Yuanzhe Jia, Ali Braytee, Mohamad Naji, Widad Alyassine |