Ndèye Niang

19 papers Misc 2Journal 6Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
A Divisive Unsupervised Feature Selection Approach for Explainable Remaining Useful Life Prediction.
DEXA (2)
Mouhamadou-Lamine Ndao, Genane Youness, Ndèye Niang, Gilbert Saporta
2025 J jnl
Improving predictive maintenance: Evaluating the impact of preprocessing and model complexity on the effectiveness of eXplainable Artificial Intelligence methods.
Eng. Appl. Artif. Intell.
Mouhamadou-Lamine Ndao, Genane Youness, Ndèye Niang, Gilbert Saporta
2025 — conf
Overcoming Data Imbalance in Autonomous Driving: A CWGAN-GP Approach.
VTC2025-Fall
Céline Serbouh Touazi, Iness Ahriz, Ndèye Niang, Alain Piperno
2024 Misc conf
Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness.
FLAIRS
Mouhamadou-Lamine Ndao, Genane Youness, Ndèye Niang, Gilbert Saporta
2024 — conf
Hierarchical Sparse Subspace K-Means.
CARI
Abdoul Wahab Diallo, Mory Ouattara, François Kaly, Ndèye Niang
2024 Misc conf
Predictive Modeling of Autonomous Vehicle Behavior With Imbalanced & Mixed Data.
SoftCOM
Celine Serbouh, Iness Ahriz, Ndèye Niang, Alain Piperno
2024 — conf
Sensibilité des indices de qualité d'un classifieur probabiliste.
EGC
Ndèye Awa Dieye, Ndèye Niang, Giorgio Russolillo
2023 J jnl
Clustering with missing data: which equivalent for Rubin's rules?
Adv. Data Anal. Classif.
Vincent Audigier, Ndèye Niang
2023 J jnl
Clusterwise elastic-net regression based on a combined information criterion.
Adv. Data Anal. Classif.
Xavier Bry, Ndèye Niang, Thomas Verron, Stéphanie Bougeard
2023 J jnl
Sparse correspondence analysis for large contingency tables.
Adv. Data Anal. Classif.
Ruiping Liu, Ndèye Niang, Gilbert Saporta, Huiwen Wang
2023 — conf
Une revue systématique de la littérature autour du biais, de l'équité et de l'explicabilité.
CNIA
Mouhamadou-Lamine Ndao, Genane Youness, Ndèye Niang, Gilbert Saporta
2021 — conf
Sparse Subspace K-means.
ICDM (Workshops)
Abdoul Wahab Diallo, Ndèye Niang, Mory Ouattara
2018 — conf
A New Micro-Batch Approach for Partial Least Square Clusterwise Regression.
INNS Conference on Big Data
Gaël Beck, Hanane Azzag, Stéphanie Bougeard, Mustapha Lebbah, Ndèye Niang
2018 J jnl
Clusterwise analysis for multiblock component methods.
Adv. Data Anal. Classif.
Stéphanie Bougeard, Hervé Abdi, Gilbert Saporta, Ndèye Niang
2014 — ch.
2S-SOM : une méthode de soft-subspace clustering pour données multi-blocs basée sur les cartes topologiques auto-organisées.
Fouille de données complexes
Mory Ouattara, Ndèye Niang, Fouad Badran, Corinne Mandin
2014 — conf
Une approche basée sur STATIS pour la fusion de cartes topologiques auto-organisées.
EGC
Mory Ouattara, Ndèye Niang, Rania Gasri, Fouad Badran, Corinne Mandin
2011 — conf
Hierarchical Mixed Topological Maps.
HDSDA
Ndèye Niang, Mory Ouattara
2007 J jnl
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.
Marie Plasse, Ndèye Niang, Gilbert Saporta, Alexandre Villeminot, Laurent Leblond
2006 — conf
Une comparaison de certains indices de pertinence des règles d'association.
EGC
Marie Plasse, Ndèye Niang, Gilbert Saporta, Laurent Leblond