An AI Framework for Modelling and Evaluating Attribution Methods in Enhanced Machine Learning Interpretability. - Alfredo Cuzzocrea; Qudrat E. Alahy Ratul; Islam Belmerabet; Edoardo Serra (COMPSAC, 2023)

A Machine-Learning Framework for Supporting Content Recommendation via User Feedback Data and Content Profiles in Content Managements Systems. - Debashish Roy; Chen Ding 004; Alfredo Cuzzocrea; Islam Belmerabet (DEXA (2), 2023)

Attribution Methods Assessment for Interpretable Machine Learning. - Alfredo Cuzzocrea; Qudrat E. Alahy Ratul; Islam Belmerabet; Edoardo Serra (SEBD, 2023)

An Innovative Framework for Supporting Multi-Criteria Ratings and Reviews over Big Textual Data. - Emrul Hasan; Chen Ding 004; Alfredo Cuzzocrea; Islam Belmerabet (SEBD, 2023)

An Artificial Intelligence Framework for Supporting Coarse-Grained Workload Classification in Complex Virtual Environments. - Alfredo Cuzzocrea; Enzo Mumolo; Islam Belmerabet; Abderraouf Hafsaoui (TFSS, 2023)

Privacy-Preserving Identity and Access Management in Multiple Cloud Environments: Models, Issues, and Solutions. - Alfredo Cuzzocrea; Islam Belmerabet (IEEE Big Data, 2024)

A SOLID-Based Framework for Supporting Privacy-Preserving Identity Management in Multi-Cloud Environments. - Alfredo Cuzzocrea; Islam Belmerabet (COMPSAC, 2024)

Towards Privacy-Preserving Multi-Cloud Identity Management Using SOLID. - Alfredo Cuzzocrea; Islam Belmerabet (SECRYPT, 2024)

A Stochastic-Process Methodology for Detecting Anomalies at Runtime in Embedded Systems. - Alfredo Cuzzocrea; Enzo Mumolo; Islam Belmerabet; Abderraouf Hafsaoui (Trans. Fuzzy Sets Syst., 2024)

Towards a Data-Centric Framework for Modelling, Managing and Mining BPM Processes over Pandemic Events. - Alfredo Cuzzocrea; Islam Belmerabet; Carlo Combi; Enrico Franconi; Paolo Terenziani (EDBT/ICDT Workshops, 2025)