Marine Depecker

12 papers C 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2021 J jnl
Gaussian Linear Approximation for the Estimation of the Shapley Effects.
SIAM/ASA J. Uncertain. Quantification
Baptiste Broto, François Bachoc, Marine Depecker, Jean-Marc Martinez
2020 J jnl
Variance Reduction for Estimation of Shapley Effects and Adaptation to Unknown Input Distribution.
SIAM/ASA J. Uncertain. Quantification
Baptiste Broto, François Bachoc, Marine Depecker
2019 J jnl
Sensitivity indices for independent groups of variables.
Math. Comput. Simul.
Baptiste Broto, François Bachoc, Marine Depecker, Jean-Marc Martinez
2014 J jnl
A Nonlinear Semantic-Preserving Projection Approach to Visualize Multivariate Periodical Time Series.
IEEE Trans. Neural Networks Learn. Syst.
Pierre Blanchart, Marine Depecker
2013 J jnl
An empirical comparison of learning algorithms for nonparametric scoring: the TreeRank algorithm and other methods.
Pattern Anal. Appl.
Stéphan Clémençon, Marine Depecker, Nicolas Vayatis
2013 J jnl
Ranking forests.
J. Mach. Learn. Res.
Stéphan Clémençon, Marine Depecker, Nicolas Vayatis
2011 J jnl
Adaptive partitioning schemes for bipartite ranking - How to grow and prune a ranking tree.
Mach. Learn.
Stéphan Clémençon, Marine Depecker, Nicolas Vayatis
2011 J jnl
Avancées récentes dans le domaine de l'apprentissage d'ordonnancements.
Rev. d'Intelligence Artif.
Stéphan Clémençon, Marine Depecker, Nicolas Vayatis
2011 — conf
Structured Multivariate Pattern Classification to Detect MRI Markers for an Early Diagnosis of Alzheimer's Disease.
ICMLA (2)
Cécilia Damon, Edouard Duchesnay, Marine Depecker
2010 — —
Méthodes d'apprentissage statistique pour le scoring. (Statistical learning methods for bipartite ranking).
Marine Depecker
2009 — conf
AUC optimization and the two-sample problem.
NIPS
Stéphan Clémençon, Nicolas Vayatis, Marine Depecker
2009 C conf
Bagging Ranking Trees.
ICMLA
Stéphan Clémençon, Marine Depecker, Nicolas Vayatis