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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

* In Proceedings of the 31 International Conference on Tools with Artificial Intelligence (ICTAI 2019) 

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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

* Techreport 

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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

* ICLR 2015 Workshop - accepted 

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Subspace Alignment For Domain Adaptation


Oct 23, 2014
Basura Fernando, Amaury Habrard, Marc Sebban, Tinne Tuytelaars


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A Survey on Metric Learning for Feature Vectors and Structured Data


Feb 12, 2014
Aurélien Bellet, Amaury Habrard, Marc Sebban

* Technical report, 59 pages. Changes in v2: fixed typos and improved presentation. Changes in v3: fixed typos. Changes in v4: fixed typos and new methods 

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Combining Feature and Prototype Pruning by Uncertainty Minimization


Jan 16, 2013
Marc Sebban, Richard Nock

* Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000) 

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Similarity Learning for Provably Accurate Sparse Linear Classification


Jun 27, 2012
Aurelien Bellet, Amaury Habrard, Marc Sebban

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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