| Quality issues in machine learning software systems PO Côté, A Nikanjam, R Bouchoucha, I Basta, M Abidi, F Khomh Empirical Software Engineering 29 (6), 149, 2024 | 7 | 2024 |
| Can ensembling preprocessing algorithms lead to better machine learning fairness? K Badran, PO Côté, A Kolopanis, R Bouchoucha, A Collante, DE Costa, ... Computer 56 (4), 71-79, 2023 | 5 | 2023 |
| Robustness assessment of hyperspectral image CNNs using metamorphic testing R Bouchoucha, HB Braiek, F Khomh, S Bouzidi, R Zaatour Information and Software Technology 162, 107281, 2023 | 3 | 2023 |
| Toward Debugging Deep Reinforcement Learning Programs with RLExplorer R Bouchoucha, AH Yahmed, D Patil, J Rajendran, A Nikanjam, ... 2024 IEEE International Conference on Software Maintenance and Evolution …, 2024 | | 2024 |
| An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems AH Yahmed, R Bouchoucha, HB Braiek, F Khomh 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | | 2023 |
| Quality Assurance in Deep Reinforcement Learning Applications R Bouchoucha Polytechnique Montréal, 2023 | | 2023 |
