| How to certify machine learning based safety-critical systems? A systematic literature review F Tambon, G Laberge, L An, A Nikanjam, PSN Mindom, Y Pequignot, ... Automated Software Engineering 29 (2), 38, 2022 | 85 | 2022 |
| Bug characterization in machine learning-based systems MM Morovati, A Nikanjam, F Tambon, F Khomh, ZM Jiang Empirical Software Engineering 29 (1), 14, 2024 | 38 | 2024 |
| Bugs in large language models generated code F Tambon, AM Dakhel, A Nikanjam, F Khomh, MC Desmarais, G Antoniol arXiv preprint arXiv:2403.08937, 2024 | 31* | 2024 |
| Silent bugs in deep learning frameworks: an empirical study of keras and tensorflow F Tambon, A Nikanjam, L An, F Khomh, G Antoniol Empirical Software Engineering 29 (1), 10, 2024 | 31 | 2024 |
| Deep learning model reuse in the huggingface community: Challenges, benefit and trends M Taraghi, G Dorcelus, A Foundjem, F Tambon, F Khomh arXiv preprint arXiv:2401.13177, 2024 | 16 | 2024 |
| A probabilistic framework for mutation testing in deep neural networks F Tambon, F Khomh, G Antoniol Information and Software Technology 155, 107129, 2023 | 11 | 2023 |
| Mutation testing of deep reinforcement learning based on real faults F Tambon, V Majdinasab, A Nikanjam, F Khomh, G Antoniol 2023 IEEE Conference on Software Testing, Verification and Validation (ICST …, 2023 | 9 | 2023 |
| Common challenges of deep reinforcement learning applications development: an empirical study MM Morovati, F Tambon, M Taraghi, A Nikanjam, F Khomh Empirical Software Engineering 29 (4), 95, 2024 | 3 | 2024 |
| Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs SK Ngassom, AM Dakhel, F Tambon, F Khomh arXiv preprint arXiv:2405.13932, 2024 | 3 | 2024 |
| Assessing programming task difficulty for efficient evaluation of large language models F Tambon, A Nikanjam, F Khomh, G Antoniol arXiv preprint arXiv:2407.21227, 2024 | 2 | 2024 |
| GIST: Generated Inputs Sets Transferability in Deep Learning F Tambon, F Khomh, G Antoniol ACM Transactions on Software Engineering and Methodology 33 (8), 1-38, 2024 | 1 | 2024 |
| Validation of Vigilance Decline Capability in a Simulated Test Environment: A Preliminary Step Towards Neuroadaptive Control A Mahu, A Singh, F Tambon, B Ouellette, JF Delisle, TS Paul, F Khomh, ... Neuroergonomics and Cognitive Engineering, 45, 2024 | | 2024 |
Foutse KhomhNSERC Arthur B. McDonald Fellow, CRC Tier 1, Canada CIFAR AI Chair, FRQ-IVADO Chair, Full Professorpolymtl.ca의 이메일 확인됨