Soft Subspace Growing Neural Gas for Data Stream Clustering. - Mohammed Oualid Attaoui; Mustapha Lebbah; Nabil Keskes; Hanene Azzag; Mohammed Ghesmoune (ICANN (4), 2019)

Soft Subspace Topological Clustering over Evolving Data Stream. - Mohammed Oualid Attaoui; Mustapha Lebbah; Nabil Keskes; Hanene Azzag; Mohammed Ghesmoune (WSOM+, 2019)

Soft Subspace Growing Neural Gas pour le Clustering de Flux de Données. - Mohammed Oualid Attaoui; Mustapha Lebbah; Nabil Keskes; Hanene Azzag; Mohammed Ghesmoune (EGC, 2020)

Multi-objective data stream clustering. - Mohammed Oualid Attaoui; Hanene Azzag; Mustapha Lebbah; Nabil Keskes (GECCO Companion, 2020)

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 (CEC, 2021)

Subspace data stream clustering with global and local weighting models. - Mohammed Oualid Attaoui; Hanene Azzag; Mustapha Lebbah; Nabil Keskes (Neural Comput. Appl., 2021)

Towards new methods of clustering data stream. (Vers de nouvelles méthodes de clustering de flux de données). - Mohammed Oualid Attaoui (2021)

Vers de nouvelles méthodes de clustering de flux de données. - Mohammed Oualid Attaoui (EGC, 2022)

Transfer learning from synthetic labels for histopathological images classification. - Nassima Dif; Mohammed Oualid Attaoui; Zakaria Elberrichi; Mustapha Lebbah; Hanene Azzag (Appl. Intell., 2022)

Improved Multi-objective Data Stream Clustering with Time and Memory Optimization. - Mohammed Oualid Attaoui; Hanene Azzag; Mustapha Lebbah; Nabil Keskes (CoRR, 2022)

Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization. - Mohammed Walid Attaoui; Hanene Azzag; Mustapha Lebbah (GECCO Companion, 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)

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., 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., 2023)

SAFE: Safety Analysis and Retraining of DNNs. - Mohammed Oualid Attaoui; Fabrizio Pastore; Lionel C. Briand (ICSE Companion, 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., 2024)

ClusterXplain: a Clustering-based Tool for DNN components Debugging. - Mohammed Oualid Attaoui; Fabrizio Pastore (SIGSOFT FSE Companion, 2025)

GAN-enhanced Simulation-driven DNN Testing in Absence of Ground Truth. - Mohammed Oualid Attaoui; Fabrizio Pastore (CoRR, 2025)

Search-Based DNN Testing and Retraining With GAN-Enhanced Simulations. - Mohammed Oualid Attaoui; Fabrizio Pastore; Lionel C. Briand (IEEE Trans. Software Eng., 2025)