| 2025 | PIMRC | Dynamic Activation and Assignment of SDN Controllers in LEO Satellite Constellations. | Wafa Hasanain, Pablo G. Madoery, Halim Yanikomeroglu, Gunes Karabulut Kurt, Sameera Siddiqui, Stephane Martel, Khaled Ahmed, Colin Bellinger |
| 2024 | AI | Dynamic programming with incomplete information to overcome navigational uncertainty in POMDPs. | Chris Beeler, Xinkai Li, Colin Bellinger, Mark Crowley, Maia Fraser, Isaac Tamblyn |
| 2024 | PIMRC | Next-Generation Satellite IoT Networks: A HAPS-Enabled Solution to Enhance Optical Data Transfer. | Ethan Fettes, Pablo G. Madoery, Halim Yanikomeroglu, Gunes Karabulut Kurt, Colin Bellinger, Stphane Martel, Khaled Ahmed, Sameera Siddiqui |
| 2023 | ICDE | Efficient Augmentation for Imbalanced Deep Learning. | Damien A. Dablain, Colin Bellinger, Bartosz Krawczyk, Nitesh V. Chawla |
| 2023 | SDM | An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems. | Jonatan Mller Nuutinen Gttcke, Colin Bellinger, Paula Branco, Arthur Zimek |
| 2022 | AI | Balancing Information with Observation Costs in Deep Reinforcement Learning. | Colin Bellinger, Andriy Drozdyuk, Mark Crowley, Isaac Tamblyn |
| 2022 | KDD | 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. | Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang |
| 2021 | AI | Active Measure Reinforcement Learning for Observation Cost Minimization. | Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn |
| 2021 | DIS | Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning. | Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz |
| 2021 | DSAA | RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. | Michal Koziarski, Colin Bellinger, Michal Wozniak |
| 2021 | IJCNN | Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification. | Bartosz Krawczyk, Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz |
| 2020 | AI | Reinforcement Learning in a Physics-Inspired Semi-Markov Environment. | Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn |
| 2019 | DIS | The CURE for Class Imbalance. | Colin Bellinger, Paula Branco, Lus Torgo |
| 2018 | ICDM | Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance. | Shiven Sharma, Colin Bellinger, Bartosz Krawczyk, Osmar R. Zaane, Nathalie Japkowicz |
| 2015 | ICMLA | Active Learning for One-Class Classification. | Vincent Barnabe-Lortie, Colin Bellinger, Nathalie Japkowicz |
| 2015 | ICMLA | Multi-label Classification of Anemia Patients. | Colin Bellinger, Ali Amid, Nathalie Japkowicz, Herna L. Viktor |
| 2015 | ICMLA | Synthetic Oversampling for Advanced Radioactive Threat Detection. | Colin Bellinger, Nathalie Japkowicz, Christopher Drummond |
| 2012 | AI | Clustering Based One-Class Classification for Compliance Verification of the Comprehensive Nuclear-Test-Ban Treaty. | Shiven Sharma, Colin Bellinger, Nathalie Japkowicz |
| 2012 | ICMLA | One-Class versus Binary Classification: Which and When? | Colin Bellinger, Shiven Sharma, Nathalie Japkowicz |
| 2011 | ACIIDS | A New Frontier in Novelty Detection: Pattern Recognition of Stochastically Episodic Events. | Colin Bellinger, B. John Oommen |