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Mohammed Oualid Attaoui
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Books and Theses
- 2021
- [b1]Mohammed Oualid Attaoui:
Towards new methods of clustering data stream. (Vers de nouvelles méthodes de clustering de flux de données). Paris 13 University, Villetaneuse, France, 2021
Journal Articles
- 2024
- [j5]Mohammed Oualid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand:
Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches. ACM Trans. Softw. Eng. Methodol. 33(5): 130:1-130:48 (2024) - 2023
- [j4]Mohammed Walid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand:
Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering. ACM Trans. Softw. Eng. Methodol. 32(3): 79:1-79:40 (2023) - [j3]Mohammed Oualid Attaoui, Nassima Dif, Hanene Azzag, Mustapha Lebbah:
Regions of interest selection in histopathological images using subspace and multi-objective stream clustering. Vis. Comput. 39(4): 1683-1701 (2023) - 2022
- [j2]Nassima Dif, Mohammed Oualid Attaoui, Zakaria Elberrichi, Mustapha Lebbah, Hanene Azzag:
Transfer learning from synthetic labels for histopathological images classification. Appl. Intell. 52(1): 358-377 (2022) - 2021
- [j1]Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes:
Subspace data stream clustering with global and local weighting models. Neural Comput. Appl. 33(8): 3691-3712 (2021)
Conference and Workshop Papers
- 2024
- [c8]Mohammed Oualid Attaoui, Fabrizio Pastore, Lionel C. Briand:
SAFE: Safety Analysis and Retraining of DNNs. ICSE Companion 2024: 74-78 - 2023
- [c7]Mohammed Walid Attaoui, Hanene Azzag, Mustapha Lebbah:
Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization. GECCO Companion 2023: 267-270 - 2022
- [c6]Mohammed Oualid Attaoui:
Vers de nouvelles méthodes de clustering de flux de données. EGC 2022: 507-508 - 2021
- [c5]Mohammed Oualid Attaoui, Hanene Azzag, Nabil Keskes, Mustapha Lebbah:
A New Subspace Multi-Objective Approach for the Clustering and Selection of Regions of Interests in Histopathological Images. CEC 2021: 556-563 - 2020
- [c4]Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune:
Soft Subspace Growing Neural Gas pour le Clustering de Flux de Données. EGC 2020: 441-448 - [c3]Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes:
Multi-objective data stream clustering. GECCO Companion 2020: 113-114 - 2019
- [c2]Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune:
Soft Subspace Growing Neural Gas for Data Stream Clustering. ICANN (4) 2019: 569-580 - [c1]Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune:
Soft Subspace Topological Clustering over Evolving Data Stream. WSOM+ 2019: 225-230
Informal and Other Publications
- 2024
- [i4]Mohammed Oualid Attaoui, Fabrizio Pastore, Lionel C. Briand:
Search-based DNN Testing and Retraining with GAN-enhanced Simulations. CoRR abs/2406.13359 (2024) - 2023
- [i3]Mohammed Oualid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand:
DNN Explanation for Safety Analysis: an Empirical Evaluation of Clustering-based Approaches. CoRR abs/2301.13506 (2023) - 2022
- [i2]Mohammed Oualid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand:
Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering. CoRR abs/2201.05077 (2022) - [i1]Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes:
Improved Multi-objective Data Stream Clustering with Time and Memory Optimization. CoRR abs/2201.05079 (2022)
Coauthor Index
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