| The class imbalance problem in deep learning K Ghosh, C Bellinger, R Corizzo, P Branco, B Krawczyk, N Japkowicz Machine Learning 113 (7), 4845-4901, 2024 | 27 | 2024 |
| Reinforcement learning for in silico determination of adsorbate—substrate structures MP Lourenço, J Hostaš, C Bellinger, A Tchagang, DR Salahub Journal of Computational Chemistry 45 (15), 1289-1302, 2024 | | 2024 |
| Performance Estimation bias in Class Imbalance with Minority Subconcepts C Bellinger, R Corizzo, N Japkowicz Fifth International Workshop on Learning with Imbalanced Domains: Theory and …, 2024 | | 2024 |
| Understanding imbalanced data: XAI & interpretable ML framework D Dablain, C Bellinger, B Krawczyk, DW Aha, N Chawla Machine Learning 113 (6), 3751-3769, 2024 | 5 | 2024 |
| ChemGymRL: A customizable interactive framework for reinforcement learning for digital chemistry C Beeler, SG Subramanian, K Sprague, M Baula, N Chatti, A Dawit, X Li, ... Digital Discovery 3 (4), 742-758, 2024 | | 2024 |
| Reinforcement Learning Environment for Wavefront Sensorless Adaptive Optics in Single-Mode Fiber Coupled Optical Satellite Communications Downlinks P Parvizi, R Zou, C Bellinger, R Cheriton, D Spinello Photonics 10 (12), 1371, 2023 | 1 | 2023 |
| Time and temporal abstraction in continual learning: tradeoffs, analogies and regret in an active measuring setting V Létourneau, C Bellinger, I Tamblyn, M Fraser Conference on Lifelong Learning Agents, 470-480, 2023 | | 2023 |
| Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm C Bellinger, L Lamarche-Cliche arXiv preprint arXiv:2308.14652, 2023 | | 2023 |
| Dynamic observation policies in observation cost-sensitive reinforcement learning C Bellinger, M Crowley, I Tamblyn arXiv preprint arXiv:2307.02620, 2023 | 3 | 2023 |
| Automated imbalanced classification via layered learning V Cerqueira, L Torgo, P Branco, C Bellinger Machine Learning 112 (6), 2083-2104, 2023 | 5 | 2023 |
| Chemgymrl: An interactive framework for reinforcement learning for digital chemistry C Beeler, SG Subramanian, K Sprague, N Chatti, C Bellinger, M Shahen, ... arXiv preprint arXiv:2305.14177, 2023 | 7 | 2023 |
| Understanding CNN fragility when learning with imbalanced data D Dablain, KN Jacobson, C Bellinger, M Roberts, NV Chawla Machine Learning, 1-26, 2023 | 21 | 2023 |
| Efficient augmentation for imbalanced deep learning DA Dablain, C Bellinger, B Krawczyk, NV Chawla 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1433-1446, 2023 | 10 | 2023 |
| Wavefront Sensorless Adaptive Optics for Free-space Satellite-to-Ground Communication using Reinforcement Learning R Zou, P Parvizi, R Cheriton, C Bellinger, D Spinello COAT2023, 2023 | | 2023 |
| Reinforcement learning-based wavefront sensorless adaptive optics approaches for satellite-to-ground laser communication P Parvizi, R Zou, C Bellinger, R Cheriton, D Spinello arXiv preprint arXiv:2303.07516, 2023 | 2 | 2023 |
| Reinforcement Learning for Adsorbate–Substrate Modeling in Silico–the Genesis of RLMaterial software M LOURENÇO, J HOSTAS, C BELLINGER, A TCHAGANG, D SALAHUB Galoá, 2023 | | 2023 |
| An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems JMN Gøttcke, C Bellinger, P Branco, A Zimek Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 1 | 2023 |
| Imbalanced multi-layer cloud classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO data L Ding, R Corizzo, C Bellinger, N Ching, S Login, R Yepez-Lopez, J Gong, ... 2022 IEEE International Conference on Big Data (Big Data), 5902-5909, 2022 | 2 | 2022 |
| Interpretable ML for Imbalanced Data DA Dablain, C Bellinger, B Krawczyk, DW Aha, NV Chawla arXiv preprint arXiv:2212.07743, 2022 | 2 | 2022 |
| Roadmap on machine learning in electronic structure HJ Kulik, T Hammerschmidt, J Schmidt, S Botti, MAL Marques, M Boley, ... Electronic Structure 4 (2), 023004, 2022 | 121 | 2022 |
Nathalie JapkowiczAmerican University在 american.edu 的电子邮件经过验证
