How Useful is Meta-Recommendation? An Empirical Investigation. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (IEEE BigData, 2021)

DashBot: An ML-Guided Dashboard Generation System. - Sandrine Da Col; Radu Ciucanu; Marta Soare; Nassim Bouarour; Sihem Amer-Yahia (CIKM, 2021)

Learning Diversity Attributes in Multi-Session Recommendations. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (IEEE Big Data, 2022)

Significance and Coverage in Group Testing on the Social Web. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (WWW, 2022)

Optimizing Data Coverage and Significance in Multiple Hypothesis Testing on User Groups. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (Trans. Large Scale Data Knowl. Centered Syst., 2022)

Adaptive Test Recommendation for Mastery Learning. - Nassim Bouarour; Idir Benouaret; Cédric D'Ham; Sihem Amer-Yahia (DataEd@SIGMOD, 2023)

SHEVA: A Visual Analytics System for Statistical Hypothesis Exploration. - Vicente Nejar de Almeida; Eduardo Ferreira Ribeiro; Nassim Bouarour; João Luiz Dihl Comba; Sihem Amer-Yahia (Proc. VLDB Endow., 2023)

Algorithmes basés sur les données pour le comportement individuel et collectif des utilisateurs. (data-driven algorithms for individual and collective user behavior). - Nassim Bouarour (2023)

Multi-objective Test Recommendation for Adaptive Learning. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (Trans. Large Scale Data Knowl. Centered Syst., 2024)

Classifying Students' Meta-cognitive Comments. - Christian Hoffmann; Madou Koné; Nassim Bouarour; Sihem Amer-Yahia (EC-TEL (2), 2025)