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ATTAOUI Mohammed Oualid
ATTAOUI Mohammed Oualid
Doctorant Université Sorbonne Paris Nord
Verified email at lipn.univ-paris13.fr
Title
Cited by
Cited by
Year
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
282022
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
202023
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
82021
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
72019
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
32023
Multi-objective data stream clustering
MO Attaoui, H Azzag, M Lebbah, N Keskes
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
32020
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
22023
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
22019
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
12024
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
12023
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
12020
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
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