Ndeye Niang

According to our database, Ndeye Niang authored at least 15 papers between 2006 and 2024.

Collaborative distances:

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

2024

Predictive Modeling of Autonomous Vehicle Behavior With Imbalanced & Mixed Data.

Celine Serbouh, Iness Ahriz, Ndeye Niang, Alain Piperno

Proceedings of the International Conference on Software, 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

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Sensibilité des indices de qualité d'un classifieur probabiliste.

Ndèye Awa Dieye, Ndeye Niang, Giorgio Russolillo

Proceedings of the Extraction et Gestion des Connaissances, 2024

2023

Sparse correspondence analysis for large contingency tables.

Ruiping Liu, Ndeye Niang, Gilbert Saporta, Huiwen Wang

Adv. Data Anal. Classif., December, 2023

Clustering with missing data: which equivalent for Rubin's rules?

Vincent Audigier, Ndèye Niang

Adv. Data Anal. Classif., September, 2023

Clusterwise elastic-net regression based on a combined information criterion.

Xavier Bry, Ndèye Niang, Thomas Verron, Stéphanie Bougeard

Adv. Data Anal. Classif., March, 2023

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

Proceedings of the Conférence Nationale en Intelligence Artificielle, 2023

2021

Sparse Subspace K-means.

Abdoul Wahab Diallo, Ndèye Niang, Mory Ouattara

Proceedings of the 2021 International Conference on Data Mining, 2021

2018

Clusterwise analysis for multiblock component methods.

Stéphanie Bougeard, Hervé Abdi, Gilbert Saporta, Ndeye Niang

Adv. Data Anal. Classif., 2018

A New Micro-Batch Approach for Partial Least Square Clusterwise Regression.

Gaël Beck, Hanane Azzag, Stéphanie Bougeard, Mustapha Lebbah, Ndèye Niang

Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

2014

Une approche basée sur STATIS pour la fusion de cartes topologiques auto-organisées.

Mory Ouattara, Ndeye Niang, Rania Gasri, Fouad Badran, Corinne Mandin

Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

2S-SOM : une méthode de soft-subspace clustering pour données multi-blocs basée sur les cartes topologiques auto-organisées.

Mory Ouattara, Ndeye Niang, Fouad Badran, Corinne Mandin

Proceedings of the Fouille de Données Complexes, 2014, 2014

2011

Hierarchical Mixed Topological Maps.

Ndeye Niang, Mory Ouattara

Proceedings of the Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis, 2011

2007

Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set.

Marie Plasse, Ndeye Niang, Gilbert Saporta, Alexandre Villeminot, Laurent Leblond

Comput. Stat. Data Anal., 2007

2006

Une comparaison de certains indices de pertinence des règles d'association.

Marie Plasse, Ndeye Niang, Gilbert Saporta, Laurent Leblond

Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006