Mory Ouattara

Membre associé
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2024

Articles de conférence

  1. Niang, N. and Ouattara, M. Weighted Consensus Clustering for Unbiased Feature Importance in Random Forests. In 18th conference of the International Federation of Classification Societies, San José, Costa Rica, 2024. www 
  1. Niang, N.; Ouattara, M. and Saporta, G. Clustering variables: a survey and some new developments. In Sensometrics 2024, Paris, France, 2024. www 

2023

Articles de conférence

  1. Niang, N.; Ouattara, M. and Saporta, G. Une comparaison de quelques méthodes de classification de variables mixtes. In SFC'2023; Rencontres de la Société Francophone de Classification, pages 115-116, Strasbourg, France, 2023. www 
  1. Niang, N.; Ouattara, M. and Saporta, G. A comparison of some methods for clustering of variables of mixed types. In XXX Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD 2023), pages 85-86, Viana Do Castelo, Portugal, 2023. www 

2021

Articles de conférence

  1. Fateri Gouard, N.; Niang, N. and Ouattara, M. Unbiased Feature selection in Random Forests using Consensus Feature Clustering. In Data Science, Statistics & Visualisation(DSSV) and European Conference on Data Analysis (ECDA), Rotterdam, Netherlands, 2021. www 
  1. Niang-Keita, N.; Ouattara, M. and Saporta, G. Sparse Divisive Feature Clustering. In XXVIII Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD 2021), pages 75-76, Covilh~a, Portugal, Program and Book of Abstracts , 2021. www 
  1. Diallo, A. W.; Niang, N. and Ouattara, M. Sparse Subspace K-means. In 3rd IEEE ICDM Workshop on Deep Learning and Clustering. In conjunction with IEEE ICDM 2021 December 7-10, 2021., pages 678-685, IEEE, Auckland, New Zealand, 2021. doi  www 

2016

Articles de revue

  1. Kaly, F. c.; Niang, N.; Ouattara, M.; Awa, N.; Thiria, S.; Marticorena, B. and Janicot, S. Two step soft subspace SOM : une méthode de classification multi-bloc avec sélection de variables. In Revue des Nouvelles Technologies de l'Information: 51-66, 2016. www 
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