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- Ndeye Niang
aka: Ndèye Niang
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Publication search results
found 19 matches
- 2023
- Vincent Audigier, Ndèye Niang:
Clustering with missing data: which equivalent for Rubin's rules? Adv. Data Anal. Classif. 17(3): 623-657 (2023) - 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) - Ruiping Liu, Ndeye Niang, Gilbert Saporta, Huiwen Wang:
Sparse correspondence analysis for large contingency tables. Adv. Data Anal. Classif. 17(4): 1037-1056 (2023) - 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 - 2022
- Aminata Ngom, Sidoine Djimnaibeye, Ndeye Fatou Ngom, Samba Sidibé, Oumar Niang:
A New Wavelet Based Steganography Method for Securing Medical Data. InterSol 2022: 132-143 - 2021
- Abdoul Wahab Diallo, Ndèye Niang, Mory Ouattara:
Sparse Subspace K-means. ICDM (Workshops) 2021: 678-685 - 2020
- Abdoul-Dalibou Abdou, Ndeye Fatou Ngom, Oumar Niang:
Arrhythmias Prediction Using an Hybrid Model Based on Convolutional Neural Network and Nonlinear Regression. Int. J. Comput. Intell. Appl. 19(3): 2050024:1-2050024:14 (2020) - 2019
- Abdoul-Dalibou Abdou, Ndeye Fatou Ngom, Oumar Niang, Mohamed Cheikh Ould Guera:
Analysis of Noise Perturbation on Neural Network Based ECG Classification. ICCSA (5) 2019: 349-358 - 2018
- Stéphanie Bougeard, Hervé Abdi, Gilbert Saporta, Ndeye Niang:
Clusterwise analysis for multiblock component methods. Adv. Data Anal. Classif. 12(2): 285-313 (2018) - Ndeye Fatou Ngom, Cheikh H. T. C. Ndiaye, Oumar Niang, Samba Sidibe:
Shape Descriptors for Porous Media Analysis Using Computed Tomography Images. Int. J. Image Graph. 18(2): 1850011:1-1850011:28 (2018) - Abdoul-Dalibou Abdou, Ndeye Fatou Ngom, Oumar Niang:
Classification and Prediction of Arrhythmias from Electrocardiograms Patterns Based on Empirical Mode Decomposition and Neural Network. AFRICOMM 2018: 174-184 - 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 - 2017
- Samba Sidibe, Oumar Niang, Abdoulaye Thioune, Abdoul-Dalibou Abdou, Ndeye Fatou Ngom:
The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis. J. Electr. Comput. Eng. 2017: 7948571:1-7948571:6 (2017) - Abdoul-Dalibou Abdou, Ndeye Fatou Ngom, Samba Sidibé, Oumar Niang, Abdoulaye Thioune, Cheikh H. T. C. Ndiaye:
Neural Networks for Biomedical Signals Classification Based on Empirical Mode Decomposition and Principal Component Analysis. InterSol/CNRIA 2017: 267-278 - 2014
- 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 - 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
- Ndeye Niang, Mory Ouattara:
Hierarchical Mixed Topological Maps. HDSDA 2011: 123-138 - 2007
- 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
- Marie Plasse, Ndeye Niang, Gilbert Saporta, Laurent Leblond:
Une comparaison de certains indices de pertinence des règles d'association. EGC 2006: 561-568
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