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2020 – today
- 2024
[i1]Mohamed Abbas Konaté, Anne-Françoise Yao, Thierry Chateau, Pierre Bouges:
Toward industrial use of continual learning : new metrics proposal for class incremental learning. CoRR abs/2404.06972 (2024)- 2023
- [c6]Mohamed Abbas Konaté, Anne-Françoise Yao, Thierry Chateau, Pierre Bouges:
Toward industrial use of continual learning: new metrics proposal for class incremental learning. IJCNN 2023: 1-7
2010 – 2019
- 2019
- [c5]Chafik Samir
, Jean-Michel Loubes, Anne-Françoise Yao, François Bachoc:
Learning a Gaussian Process Model on the Riemannian Manifold of Non-decreasing Distribution Functions. PRICAI (2) 2019: 107-120 - 2018
- [c4]Anis Fradi, Chafik Samir, Anne-Françoise Yao:
Manifold-Based Inference for a Supervised Gaussian Process Classifier. ICASSP 2018: 4239-4243 - [c3]Papa Alioune Meissa Mbaye, Anne-Françoise Yao, Chafik Samir:
Méthode non paramétrique pour l'analyse et la classification des données fonctionnelles(Non-parametric method for analysis and classification of functional data). CNIA+RJCIA 2018: 19-26 - [c2]Thomas Deregnaucourt, Chafik Samir, Anne-Françoise Yao:
Inférence bayésienne pour l'estimation de déformations larges par champs gaussien : application au recalage d'images multi-modales(Bayesian inference for estimation of large deformations by Gaussian random fields: application to multimodal image registration). CNIA+RJCIA 2018: 43-49 - 2016
- [c1]Thomas Deregnaucourt, Chafik Samir, Anne-Françoise Yao:
A Regression Model for Registering Multimodal Images. MIUA 2016: 42-47
2000 – 2009
- 2007
- [j1]Claude Manté, Anne-Françoise Yao, Claude Degiovanni:
Principal component analysis of measures, with special emphasis on grain-size curves. Comput. Stat. Data Anal. 51(10): 4969-4983 (2007)
Coauthor Index
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