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Marc Sebban

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LHC

Fast Multiscale Diffusion on Graphs

Apr 29, 2021
Sibylle Marcotte, Amélie Barbe, Rémi Gribonval, Titouan Vayer, Marc Sebban, Pierre Borgnat, Paulo Gonçalves

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A survey on domain adaptation theory

Apr 24, 2020
Ievgen Redko, Emilie Morvant, Amaury Habrard, Marc Sebban, Younès Bennani

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Metric Learning from Imbalanced Data

Sep 04, 2019
Léo Gautheron, Emilie Morvant, Amaury Habrard, Marc Sebban

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An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data

Sep 02, 2019
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban

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Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting

Jun 14, 2019
Léo Gautheron, Pascal Germain, Amaury Habrard, Emilie Morvant, Marc Sebban, Valentina Zantedeschi

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Theoretical Analysis of Domain Adaptation with Optimal Transport

Jul 28, 2017
Ievgen Redko, Amaury Habrard, Marc Sebban

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L$^3$-SVMs: Landmarks-based Linear Local Support Vectors Machines

Apr 03, 2017
Valentina Zantedeschi, Rémi Emonet, Marc Sebban

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Similarity Learning for Time Series Classification

Oct 15, 2016
Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard, Marc Sebban

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Lipschitz Continuity of Mahalanobis Distances and Bilinear Forms

Apr 04, 2016
Valentina Zantedeschi, Rémi Emonet, Marc Sebban

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Algorithmic Robustness for Learning via $(ε, γ, τ)$-Good Similarity Functions

Mar 31, 2015
Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini

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