Une comparaison de certains indices de pertinence des règles d'association. - Marie Plasse; Ndèye Niang; Gilbert Saporta; Laurent Leblond (EGC, 2006)

Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set. - Marie Plasse; Ndèye Niang; Gilbert Saporta; Alexandre Villeminot; Laurent Leblond (Comput. Stat. Data Anal., 2007)

Hierarchical Mixed Topological Maps. - Ndèye Niang; Mory Ouattara (HDSDA, 2011)

2S-SOM : une méthode de soft-subspace clustering pour données multi-blocs basée sur les cartes topologiques auto-organisées. - Mory Ouattara; Ndèye Niang; Fouad Badran; Corinne Mandin (Fouille de données complexes, 2014)

Une approche basée sur STATIS pour la fusion de cartes topologiques auto-organisées. - Mory Ouattara; Ndèye Niang; Rania Gasri; Fouad Badran; Corinne Mandin (EGC, 2014)

A New Micro-Batch Approach for Partial Least Square Clusterwise Regression. - Gaël Beck; Hanane Azzag; Stéphanie Bougeard; Mustapha Lebbah; Ndèye Niang (INNS Conference on Big Data, 2018)

Clusterwise analysis for multiblock component methods. - Stéphanie Bougeard; Hervé Abdi; Gilbert Saporta; Ndèye Niang (Adv. Data Anal. Classif., 2018)

Sparse Subspace K-means. - Abdoul Wahab Diallo; Ndèye Niang; Mory Ouattara (ICDM (Workshops), 2021)

Une revue systématique de la littérature autour du biais, de l'équité et de l'explicabilité. - Mouhamadou-Lamine Ndao; Genane Youness; Ndèye Niang; Gilbert Saporta (CNIA, 2023)

Clusterwise elastic-net regression based on a combined information criterion. - Xavier Bry; Ndèye Niang; Thomas Verron; Stéphanie Bougeard (Adv. Data Anal. Classif., 2023)

Clustering with missing data: which equivalent for Rubin's rules? - Vincent Audigier; Ndèye Niang (Adv. Data Anal. Classif., 2023)

Sparse correspondence analysis for large contingency tables. - Ruiping Liu; Ndèye Niang; Gilbert Saporta; Huiwen Wang (Adv. Data Anal. Classif., 2023)

Hierarchical Sparse Subspace K-Means. - Abdoul Wahab Diallo; Mory Ouattara; François Kaly; Ndèye Niang (CARI, 2024)

Sensibilité des indices de qualité d'un classifieur probabiliste. - Ndèye Awa Dieye; Ndèye Niang; Giorgio Russolillo (EGC, 2024)

Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness. - Mouhamadou-Lamine Ndao; Genane Youness; Ndèye Niang; Gilbert Saporta (FLAIRS, 2024)

Predictive Modeling of Autonomous Vehicle Behavior With Imbalanced & Mixed Data. - Celine Serbouh; Iness Ahriz; Ndèye Niang; Alain Piperno (SoftCOM, 2024)

Improving predictive maintenance: Evaluating the impact of preprocessing and model complexity on the effectiveness of eXplainable Artificial Intelligence methods. - Mouhamadou-Lamine Ndao; Genane Youness; Ndèye Niang; Gilbert Saporta (Eng. Appl. Artif. Intell., 2025)