A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases. - Amel Hidouri; Saïd Jabbour; Badran Raddaoui; Boutheina Ben Yaghlane (DaWaK, 2020)

On Minimal and Maximal High Utility Itemsets Mining using Propositional Satisfiability. - Amel Hidouri; Saïd Jabbour; Imen Ouled Dlala; Badran Raddaoui (IEEE BigData, 2021)

A Declarative Framework for Mining Top-k High Utility Itemsets. - Amel Hidouri; Saïd Jabbour; Badran Raddaoui; Mouna Chebbah; Boutheina Ben Yaghlane (DaWaK, 2021)

A Constraint-based Approach for Enumerating Gradual Itemsets. - Amel Hidouri; Saïd Jabbour; Jerry Lonlac; Badran Raddaoui (ICTAI, 2021)

Mining Closed High Utility Itemsets based on Propositional Satisfiability. - Amel Hidouri; Saïd Jabbour; Badran Raddaoui; Boutheina Ben Yaghlane (Data Knowl. Eng., 2021)

On the Enumeration of Frequent High Utility Itemsets: A Symbolic AI Approach. - Amel Hidouri; Saïd Jabbour; Badran Raddaoui (CP, 2022)

A Parallel Declarative Framework for Mining High Utility Itemsets. - Amel Hidouri; Saïd Jabbour; Badran Raddaoui; Mouna Chebbah; Boutheina Ben Yaghlane (IPMU (2), 2022)

Towards a Unified Symbolic AI Framework for Mining High Utility Itemsets. - Amel Hidouri; Badran Raddaoui; Saïd Jabbour (iiWAS, 2023)

Targeting Minimal Rare Itemsets from Transaction Databases. - Amel Hidouri; Badran Raddaoui; Saïd Jabbour (IJCAI, 2023)

Corrigendum to "Mining Closed High Utility Itemsets based on Propositional Satisfiability" [Data Knowl. Eng. 136C (2021) 101927]. - Amel Hidouri; Saïd Jabbour; Badran Raddaoui; Boutheina Ben Yaghlane (Data Knowl. Eng., 2023)

Enumération des itemsets rares minimaux à partir des bases de données transactionnelles. - Amel Hidouri; Badran Raddaoui; Saïd Jabbour (EGC, 2024)

SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection. - Amel Hidouri; Slimane Arbaoui; Ahmed Samet; Ali Ayadi; Tedjani Mesbahi; Romuald Boné; François de Bertrand de Beuvron (ICCS (7), 2024)

On the Learning of Explainable Classification Rules through Disjunctive Patterns. - Amel Hidouri; Saïd Jabbour; Badran Raddaoui; Ahmed Samet (ICTAI, 2024)

Approche fondée sur les motifs disjonctifs pour l'apprentissage des règles de classification. - Amel Hidouri; Saïd Jabbour; Badran Raddaoui; Ahmed Samet (EGC, 2025)

LSTM-Based Physics-Informed Neural Network for Lithium-Ion State of Charge Estimation. - Yusif Imamverdiyev; Amel Hidouri; Tedjani Mesbahi; Ahmed Samet; Christophe Lallement (ICAART (3), 2025)