| Transfer learning from synthetic labels for histopathological images classification N Dif, MO Attaoui, Z Elberrichi, M Lebbah, H Azzag Applied Intelligence 52 (1), 358-377, 2022 | 28 | 2022 |
| Black-box safety analysis and retraining of DNNs based on feature extraction and clustering M Attaoui, H Fahmy, F Pastore, L Briand ACM Transactions on Software Engineering and Methodology 32 (3), 1-40, 2023 | 20 | 2023 |
| Subspace data stream clustering with global and local weighting models MO Attaoui, H Azzag, M Lebbah, N Keskes Neural Computing and Applications 33 (8), 3691-3712, 2021 | 8 | 2021 |
| Gene selection for microarray data classification using hybrid meta-heuristics N Dif, M Attaoui, Z Elberrichi Modelling and Implementation of Complex Systems: Proceedings of the 5th …, 2019 | 7 | 2019 |
| Improved multi-objective data stream clustering with time and memory optimization M Attaoui, H Azzag, M Lebbah Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 3 | 2023 |
| Multi-objective data stream clustering MO Attaoui, H Azzag, M Lebbah, N Keskes Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 3 | 2020 |
| DNN Explanation for Safety Analysis: an Empirical Evaluation of Clustering-based Approaches. MO Attaoui, H Fahmy, F Pastore, L Briand DNN explanation for safety analysis: an empirical evaluation of clustering …, 2023 | 2 | 2023 |
| Soft subspace growing neural gas for data stream clustering MO Attaoui, M Lebbah, N Keskes, H Azzag, M Ghesmoune Artificial Neural Networks and Machine Learning–ICANN 2019: Text and Time …, 2019 | 2 | 2019 |
| Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches MO Attaoui, H Fahmy, F Pastore, L Briand ACM Transactions on Software Engineering and Methodology 33 (5), 1-48, 2024 | 1 | 2024 |
| Regions of interest selection in histopathological images using subspace and multi-objective stream clustering MO Attaoui, N Dif, H Azzag, M Lebbah The Visual Computer 39 (4), 1683-1701, 2023 | 1 | 2023 |
| Soft subspace topological clustering over evolving data stream MO Attaoui, M Lebbah, N Keskes, H Azzag, M Ghesmoune Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering …, 2020 | 1 | 2020 |
| Search-based DNN Testing and Retraining with GAN-enhanced Simulations MO Attaoui, F Pastore, L Briand arXiv preprint arXiv:2406.13359, 2024 | | 2024 |
| SAFE: Safety Analysis and Retraining of DNNs M Attaoui, F Pastore, L Briand Proceedings of the 2024 IEEE/ACM 46th International Conference on Software …, 2024 | | 2024 |
| Towards new methods of clustering data stream MO Attaoui Université Paris-Nord-Paris XIII; Ecole Nationale Supérieure d'Informatique …, 2021 | | 2021 |
| Vers de nouvelles méthodes de clustering de flux de données MO Attaoui Paris 13, 2021 | | 2021 |
| A New Subspace Multi-Objective Approach for the Clustering and Selection of Regions of Interests in Histopathological Images MO Attaoui, H Azzag, N Keskes, M Lebbah 2021 IEEE Congress on Evolutionary Computation (CEC), 556-563, 2021 | | 2021 |
| Soft Subspace Growing Neural Gas pour le Clustering de Flux de Données. MO Attaoui, M Lebbah, N Keskes, H Azzag, M Ghesmoune EGC, 441-448, 2020 | | 2020 |
| Vers de nouvelles méthodes de clustering de flux de données basées sur la théorie quantique. MW ATTAOUI Ecole Supérieure d'informatique (Sidi Bel Abbes) 08 MAI 1945, 0 | | |
Mustapha LebbahFull Professor, Paris-Saclay University - UVSQ - Versailles在 uvsq.fr 的电子邮件经过验证
