292 citations
- T. Denoeux13 · h 54
- G. Govaert2 profiles10 · h 32
- Yves Grandvalet2 profiles9 · h 31
- Faicel Chamroukhi2 profiles8 · h 18
- F. Davoine8 · h 26
- P. Aknin2 profiles8 · h 18
- Sébastien Destercke3 profiles7 · h 25
- V. Berge-Cherfaoui7 · h 22
- A. Samé6 · h 18
- Marie-Hélène Abel2 profiles6 · h 14
- N. Lê6 · h 5
- B. Ducourthial2 profiles5 · h 17
- Université de Technologie de CompiègneFR73 papers
- Centre National de la Recherche ScientifiqueFR54 papers
- Institut Universitaire de FranceFR14 papers
- Sorbonne UniversitéFR11 papers
- Shanghai UniversityCN5 papers
- Durham UniversityGB4 papers
- Monash UniversityAU4 papers
- Institut Polytechnique de BordeauxFR3 papers
- Laboratoire d'Informatique, du Traitement de l'Information et des SystèmesFR3 papers
- Université Paris Dauphine-PSLFR3 papers
- Centre de Recherche en InformatiqueFR2 papers
- Eiffage (France)FR2 papers
Showing 2020 · cs.LGShow all
3 papers · 2 filters
cs.LG2020
Learning from missing data with the Latent Block Model
Gabriel Frisch, Jean-Benoist Léger, Yves Grandvalet
Missing data can be informative. Ignoring this information can lead to misleading conclusions when the data model does not allow information to be extracted from the missing data.…
cs.LG2020★ 54 cited
EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering
Lianmeng Jiao, Thierry Denoeux, Zhun-ga Liu +1
The Gaussian mixture model (GMM) provides a simple yet principled framework for clustering, with properties suitable for statistical inference. In this paper, we propose a new mode…
cs.LG2020★ 39 cited
NN-EVCLUS: Neural Network-based Evidential Clustering
Thierry Denoeux
Evidential clustering is an approach to clustering based on the use of Dempster-Shafer mass functions to represent cluster-membership uncertainty. In this paper, we introduce a neu…