Nassim Bouarour

According to our database, Nassim Bouarour authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Shaping the Prior: How Synthetic Task Distributions Determine Tabular Foundation Model Quality.

Mohamed Bouadi, Nassim Bouarour, Varun Kulkarni, Shivam Dubey, Aditya Tanna, Vinay Kumar Sankarapu

CoRR, May, 2026

Distilling Tabular Foundation Models for Structured Health Data.

Aditya Tanna, Nassim Bouarour, Mohamed Bouadi, Vinay Kumar Sankarapu, Pratinav Seth

CoRR, May, 2026

Ensembling Tabular Foundation Models - A Diversity Ceiling And A Calibration Trap.

Aditya Tanna, Yash Desai, Pratinav Seth, Mohamed Bouadi, Nassim Bouarour, Vinay Kumar Sankarapu

CoRR, May, 2026

Pocket Foundation Models: Distilling TFMs into CPU-Ready Gradient-Boosted Trees.

Aditya Tanna, Nassim Bouarour, Mohamed Bouadi, Vinay Kumar Sankarapu, Pratinav Seth

CoRR, May, 2026

Data Presentation Over Architecture: Resampling Strategies for Credit Risk Prediction with Tabular Foundation Models.

Aditya Tanna, Mitul Solanki, Mohamed Bouadi, Nassim Bouarour, Pratinav Seth, Vinay Kumar Sankarapu

CoRR, May, 2026

Optimizing Coverage and Difficulty in Reinforcement Learning for Quiz Composition.

Ricardo Pedro Querido Andrade Silva, Nassim Bouarour, Dina Fettache, Sarab Boussouar, Noha Ibrahim, Sihem Amer-Yahia

CoRR, March, 2026

2025

Classifying Students' Meta-cognitive Comments.

Christian Hoffmann, Madou Koné, Nassim Bouarour, Sihem Amer-Yahia

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 2025

2024

Multi-objective Test Recommendation for Adaptive Learning.

Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia

Trans. Large Scale Data Knowl. Centered Syst., 2024

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

PhD thesis, 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

Adaptive Test Recommendation for Mastery Learning.

Nassim Bouarour, Idir Benouaret, Cédric D'Ham, Sihem Amer-Yahia

Proceedings of the 2nd International Workshop on Data Systems Education: Bridging education practice with education research, 2023

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

Significance and Coverage in Group Testing on the Social Web.

Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Diversity Attributes in Multi-Session Recommendations.

Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia

Proceedings of the IEEE International Conference on Big Data, 2022

2021

DashBot: An ML-Guided Dashboard Generation System.

Sandrine Da Col, Radu Ciucanu, Marta Soare, Nassim Bouarour, Sihem Amer-Yahia

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

How Useful is Meta-Recommendation? An Empirical Investigation.

Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021