An empirical study of challenges in converting deep learning models M Openja, A Nikanjam, AH Yahmed, F Khomh, ZMJ Jiang 2022 IEEE International Conference on Software Maintenance and Evolution …, 2022 | 21 | 2022 |
DiverGet: A search-based software testing approach for deep neural network quantization assessment AH Yahmed, HB Braiek, F Khomh, S Bouzidi, R Zaatour Empirical Software Engineering 27 (7), 193, 2022 | 6 | 2022 |
Deploying deep reinforcement learning systems: a taxonomy of challenges AH Yahmed, AA Abbassi, A Nikanjam, H Li, F Khomh 2023 IEEE International Conference on Software Maintenance and Evolution …, 2023 | 1 | 2023 |
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 |