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Nassim Bouarour
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2020 – today
- 2024
- [j3]Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Multi-objective Test Recommendation for Adaptive Learning. Trans. Large Scale Data Knowl. Centered Syst.: 1-36 (2024) - 2023
- [b1]Nassim Bouarour:
Algorithmes basés sur les données pour le comportement individuel et collectif des utilisateurs. (data-driven algorithms for individual and collective user behavior). Grenoble Alpes University, France, 2023 - [j2]Vicente Nejar de Almeida, Eduardo Ribeiro, Nassim Bouarour, João Luiz Dihl Comba, Sihem Amer-Yahia:
SHEVA: A Visual Analytics System for Statistical Hypothesis Exploration. Proc. VLDB Endow. 16(12): 4102-4105 (2023) - [c5]Nassim Bouarour, Idir Benouaret, Cédric D'Ham, Sihem Amer-Yahia:
Adaptive Test Recommendation for Mastery Learning. DataEd@SIGMOD 2023 - 2022
- [j1]Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Optimizing Data Coverage and Significance in Multiple Hypothesis Testing on User Groups. Trans. Large Scale Data Knowl. Centered Syst. 51: 64-96 (2022) - [c4]Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Learning Diversity Attributes in Multi-Session Recommendations. IEEE Big Data 2022: 465-474 - [c3]Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Significance and Coverage in Group Testing on the Social Web. WWW 2022: 3052-3060 - 2021
- [c2]Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
How Useful is Meta-Recommendation? An Empirical Investigation. IEEE BigData 2021: 600-606 - [c1]Sandrine Da Col, Radu Ciucanu, Marta Soare, Nassim Bouarour, Sihem Amer-Yahia:
DashBot: An ML-Guided Dashboard Generation System. CIKM 2021: 4696-4700
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last updated on 2024-11-15 20:38 CET by the dblp team
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