Mohammed Oualid Attaoui

According to our database, Mohammed Oualid Attaoui authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches.

Mohammed Oualid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand

ACM Trans. Softw. Eng. Methodol., June, 2024

Search-based DNN Testing and Retraining with GAN-enhanced Simulations.

Mohammed Oualid Attaoui, Fabrizio Pastore, Lionel C. Briand

CoRR, 2024

SAFE: Safety Analysis and Retraining of DNNs.

Mohammed Oualid Attaoui, Fabrizio Pastore, Lionel C. Briand

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023

Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering.

Mohammed Walid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand

ACM Trans. Softw. Eng. Methodol., May, 2023

Regions of interest selection in histopathological images using subspace and multi-objective stream clustering.

Mohammed Oualid Attaoui, Nassima Dif, Hanene Azzag, Mustapha Lebbah

Vis. Comput., April, 2023

DNN Explanation for Safety Analysis: an Empirical Evaluation of Clustering-based Approaches.

Mohammed Oualid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand

CoRR, 2023

Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization.

Mohammed Walid Attaoui, Hanene Azzag, Mustapha Lebbah

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Improved Multi-objective Data Stream Clustering with Time and Memory Optimization.

Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes

CoRR, 2022

Transfer learning from synthetic labels for histopathological images classification.

Nassima Dif, Mohammed Oualid Attaoui, Zakaria Elberrichi, Mustapha Lebbah, Hanene Azzag

Appl. Intell., 2022

Vers de nouvelles méthodes de clustering de flux de données.

Mohammed Oualid Attaoui

Proceedings of the Extraction et Gestion des Connaissances, 2022

2021

Towards new methods of clustering data stream. (Vers de nouvelles méthodes de clustering de flux de données).

Mohammed Oualid Attaoui

PhD thesis, 2021

Subspace data stream clustering with global and local weighting models.

Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes

Neural Comput. Appl., 2021

A New Subspace Multi-Objective Approach for the Clustering and Selection of Regions of Interests in Histopathological Images.

Mohammed Oualid Attaoui, Hanene Azzag, Nabil Keskes, Mustapha Lebbah

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Multi-objective data stream clustering.

Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Soft Subspace Growing Neural Gas pour le Clustering de Flux de Données.

Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune

Proceedings of the Extraction et Gestion des Connaissances, 2020

2019

Soft Subspace Topological Clustering over Evolving Data Stream.

Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Soft Subspace Growing Neural Gas for Data Stream Clustering.

Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019