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Ndeye Niang
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2020 – today
- 2024
- [c9]Ndèye Awa Dieye, Ndeye Niang, Giorgio Russolillo:
Sensibilité des indices de qualité d'un classifieur probabiliste. EGC 2024: 339-340 - [c8]Mouhamadou-Lamine Ndao, Genane Youness, Ndèye Niang, Gilbert Saporta:
Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness. FLAIRS 2024 - [c7]Celine Serbouh, Iness Ahriz, Ndeye Niang, Alain Piperno:
Predictive Modeling of Autonomous Vehicle Behavior With Imbalanced & Mixed Data. SoftCOM 2024: 1-6 - 2023
- [j5]Xavier Bry, Ndèye Niang, Thomas Verron, Stéphanie Bougeard:
Clusterwise elastic-net regression based on a combined information criterion. Adv. Data Anal. Classif. 17(1): 75-107 (2023) - [j4]Vincent Audigier, Ndèye Niang:
Clustering with missing data: which equivalent for Rubin's rules? Adv. Data Anal. Classif. 17(3): 623-657 (2023) - [j3]Ruiping Liu, Ndeye Niang, Gilbert Saporta, Huiwen Wang:
Sparse correspondence analysis for large contingency tables. Adv. Data Anal. Classif. 17(4): 1037-1056 (2023) - [c6]Mouhamadou-Lamine Ndao, Genane Youness, Ndèye Niang, Gilbert Saporta:
Une revue systématique de la littérature autour du biais, de l'équité et de l'explicabilité. CNIA 2023: 87-98 - 2021
- [c5]Abdoul Wahab Diallo, Ndèye Niang, Mory Ouattara:
Sparse Subspace K-means. ICDM (Workshops) 2021: 678-685
2010 – 2019
- 2018
- [j2]Stéphanie Bougeard, Hervé Abdi, Gilbert Saporta, Ndeye Niang:
Clusterwise analysis for multiblock component methods. Adv. Data Anal. Classif. 12(2): 285-313 (2018) - [c4]Gaël Beck, Hanane Azzag, Stéphanie Bougeard, Mustapha Lebbah, Ndèye Niang:
A New Micro-Batch Approach for Partial Least Square Clusterwise Regression. INNS Conference on Big Data 2018: 239-250 - 2014
- [c3]Mory Ouattara, Ndeye Niang, Rania Gasri, Fouad Badran, Corinne Mandin:
Une approche basée sur STATIS pour la fusion de cartes topologiques auto-organisées. EGC 2014: 353-358 - [p1]Mory Ouattara, Ndeye Niang, Fouad Badran, Corinne Mandin:
2S-SOM : une méthode de soft-subspace clustering pour données multi-blocs basée sur les cartes topologiques auto-organisées. Fouille de données complexes 2014: 65-88 - 2011
- [c2]Ndeye Niang, Mory Ouattara:
Hierarchical Mixed Topological Maps. HDSDA 2011: 123-138
2000 – 2009
- 2007
- [j1]Marie Plasse, Ndeye Niang, Gilbert Saporta, Alexandre Villeminot, Laurent Leblond:
Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set. Comput. Stat. Data Anal. 52(1): 596-613 (2007) - 2006
- [c1]Marie Plasse, Ndeye Niang, Gilbert Saporta, Laurent Leblond:
Une comparaison de certains indices de pertinence des règles d'association. EGC 2006: 561-568
Coauthor Index
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last updated on 2024-11-11 22:25 CET by the dblp team
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