Marc Sebban

ORCID

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 45

Top Venues

CoRR

ECML/PKDD (2)

Pattern Recognit. Lett.

ICTAI

Publications

Eduardo Brandao, Stefan Duffner, Rémi Emonet, Amaury Habrard, François Jacquenet, Marc Sebban
Is My Neural Net Driven by the MDL Principle? ECML/PKDD (2) (2023)
Nahuel E. Garcia-D'Urso, Pablo Ramon Guevara, Jorge Azorín López, Marc Sebban, Amaury Habrard, Andrés Fuster Guilló
Predictive Modeling of Body Shape Changes in Individuals on Dietetic Treatment Using Recurrent Networks. UCAmI (2) (2023)
Sibylle Marcotte, Amélie Barbe, Rémi Gribonval, Titouan Vayer, Marc Sebban, Pierre Borgnat, Paulo Gonçalves
Fast Multiscale Diffusion On Graphs. ICASSP (2022)
Tanguy Kerdoncuff, Rémi Emonet, Michaël Perrot, Marc Sebban
Optimal Tensor Transport. AAAI (2022)
Luis Felipe Borja-Borja, Jorge Azorín López, Marcelo Saval-Calvo, Andrés Fuster Guilló, Marc Sebban
Architecture for Automatic Recognition of Group Activities Using Local Motions and Context. IEEE Access 10 (2022)
Rémi Viola, Léo Gautheron, Amaury Habrard, Marc Sebban
MetaAP: A meta-tree-based ranking algorithm optimizing the average precision from imbalanced data. Pattern Recognit. Lett. 161 (2022)
Eduardo Brandao, Jean-Philippe Colombier, Stefan Duffner, Rémi Emonet, Florence Garrelie, Amaury Habrard, François Jacquenet, Anthony Nakhoul, Marc Sebban
Learning PDE to Model Self-Organization of Matter. Entropy 24 (8) (2022)
Rehan Jhuboo, Ievgen Redko, Alain Guignandon, Françoise Peyrin, Marc Sebban
Why do State-of-the-art Super-Resolution Methods not work well for Bone Microstructure CT Imaging? EUSIPCO (2022)
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban
A Nearest Neighbor Algorithm for Imbalanced Classification. Int. J. Artif. Intell. Tools 30 (3) (2021)
Jorge Azorín López, Marc Sebban, Andrés Fuster Guilló, Marcelo Saval-Calvo, Amaury Habrard
Iterative multilinear optimization for planar model fitting under geometric constraints. PeerJ Comput. Sci. 7 (2021)
Amélie Barbe, Paulo Gonçalves, Marc Sebban, Pierre Borgnat, Rémi Gribonval, Titouan Vayer
Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation. ICTAI (2021)
Sibylle Marcotte, Amélie Barbe, Rémi Gribonval, Titouan Vayer, Marc Sebban, Pierre Borgnat, Paulo Gonçalves
Fast Multiscale Diffusion on Graphs. CoRR (2021)
Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
Sampled Gromov Wasserstein. Mach. Learn. 110 (8) (2021)
Léo Gautheron, Amaury Habrard, Emilie Morvant, Marc Sebban
Metric Learning from Imbalanced Data with Generalization Guarantees. Pattern Recognit. Lett. 133 (2020)
Amélie Barbe, Marc Sebban, Paulo Gonçalves, Pierre Borgnat, Rémi Gribonval
Graph Diffusion Wasserstein Distances. ECML/PKDD (2) (2020)
Sofien Dhouib, Ievgen Redko, Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
A Swiss Army Knife for Minimax Optimal Transport. ICML (2020)
Ievgen Redko, Emilie Morvant, Amaury Habrard, Marc Sebban, Younès Bennani
A survey on domain adaptation theory. CoRR (2020)
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data. IJCAI (2020)
Léo Gautheron, Pascal Germain, Amaury Habrard, Guillaume Metzler, Emilie Morvant, Marc Sebban, Valentina Zantedeschi
Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting. ECML/PKDD (3) (2020)
Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
Metric Learning in Optimal Transport for Domain Adaptation. IJCAI (2020)
Ievgen Redko, Amaury Habrard, Marc Sebban
On the analysis of adaptability in multi-source domain adaptation. Mach. Learn. 108 (8-9) (2019)
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data. CoRR (2019)
Tien-Nam Le, Amaury Habrard, Marc Sebban
Deep multi-Wasserstein unsupervised domain adaptation. Pattern Recognit. Lett. 125 (2019)
Kevin Bascol, Rémi Emonet, Élisa Fromont, Amaury Habrard, Guillaume Metzler, Marc Sebban
From Cost-Sensitive to Tight F-measure Bounds. AISTATS (2019)
Léo Gautheron, Amaury Habrard, Emilie Morvant, Marc Sebban
Metric Learning from Imbalanced Data. ICTAI (2019)
Nam Lê Tien, Amaury Habrard, Marc Sebban
Differentially Private Optimal Transport: Application to Domain Adaptation. IJCAI (2019)
Léo Gautheron, Pascal Germain, Amaury Habrard, Emilie Morvant, Marc Sebban, Valentina Zantedeschi
Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting. CoRR (2019)
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data. ICTAI (2019)
Léo Gautheron, Emilie Morvant, Amaury Habrard, Marc Sebban
Metric Learning from Imbalanced Data. CoRR (2019)
Jordan Fréry, Amaury Habrard, Marc Sebban, Liyun He-Guelton
Non-Linear Gradient Boosting for Class-Imbalance Learning. LIDTA@ECML/PKDD (2018)
Guillaume Metzler, Xavier Badiche, Brahim Belkasmi, Élisa Fromont, Amaury Habrard, Marc Sebban
Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees. Pattern Recognit. Lett. 112 (2018)
Guillaume Metzler, Xavier Badiche, Brahim Belkasmi, Élisa Fromont, Amaury Habrard, Marc Sebban
Tree-Based Cost Sensitive Methods for Fraud Detection in Imbalanced Data. IDA (2018)
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
Fast and Provably Effective Multi-view Classification with Landmark-Based SVM. ECML/PKDD (2) (2018)
Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton
Online Non-linear Gradient Boosting in Multi-latent Spaces. IDA (2018)
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
-SVMs: Landmarks-based Linear Local Support Vectors Machines. CoRR (2017)
Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton
Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection. ECML/PKDD (1) (2017)
Ievgen Redko, Amaury Habrard, Marc Sebban
Theoretical Analysis of Domain Adaptation with Optimal Transport. ECML/PKDD (2) (2017)
Ievgen Redko, Amaury Habrard, Marc Sebban
Theoretical Analysis of Domain Adaptation with Optimal Transport. CoRR (2016)
José Carlos Rangel, Miguel Cazorla, Ismael García-Varea, Jesus Martínez-Gómez, Élisa Fromont, Marc Sebban
Scene classification based on semantic labeling. Adv. Robotics 30 (11-12) (2016)
Amaury Habrard, Jean-Philippe Peyrache, Marc Sebban
A new boosting algorithm for provably accurate unsupervised domain adaptation. Knowl. Inf. Syst. 47 (1) (2016)
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data. NIPS (2016)
Aurélien Bellet, José Francisco Bernabeu, Amaury Habrard, Marc Sebban
Learning discriminative tree edit similarities for linear classification - Application to melody recognition. Neurocomputing 214 (2016)
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
Lipschitz Continuity of Mahalanobis Distances and Bilinear Forms. CoRR (2016)
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
Metric Learning as Convex Combinations of Local Models with Generalization Guarantees. CVPR (2016)
Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard, Marc Sebban
Similarity Learning for Time Series Classification. CoRR (2016)
José Carlos Rangel, Miguel Cazorla, Ismael García-Varea, Jesus Martínez-Gómez, Élisa Fromont, Marc Sebban
Computing Image Descriptors from Annotations Acquired from External Tools. ROBOT (2) (2015)
Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini
Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning. ICONIP (1) (2015)
Rahaf Aljundi, Rémi Emonet, Damien Muselet, Marc Sebban
Landmarks-based kernelized subspace alignment for unsupervised domain adaptation. CVPR (2015)
Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard, Marc Sebban
Joint Semi-supervised Similarity Learning for Linear Classification. ECML/PKDD (1) (2015)
Imtiaz Masud Ziko, Élisa Fromont, Damien Muselet, Marc Sebban
Supervised spectral subspace clustering for visual dictionary creation in the context of image classification. ACPR (2015)
Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini
Algorithmic Robustness for Semi-Supervised (ε, γ, τ)-Good Metric Learning. ICLR (Workshop) (2015)
Aurélien Bellet, Amaury Habrard, Emilie Morvant, Marc Sebban
Learning a priori constrained weighted majority votes. Mach. Learn. 97 (1-2) (2014)
Michaël Perrot, Amaury Habrard, Damien Muselet, Marc Sebban
Modeling Perceptual Color Differences by Local Metric Learning. ECCV (5) (2014)
Basura Fernando, Amaury Habrard, Marc Sebban, Tinne Tuytelaars
Subspace Alignment For Domain Adaptation. CoRR (2014)
Amaury Habrard, Jean-Philippe Peyrache, Marc Sebban
Iterative Self-Labeling Domain Adaptation for Linear Structured Image Classification. Int. J. Artif. Intell. Tools 22 (5) (2013)
Marc Sebban, Richard Nock
Combining Feature and Prototype Pruning by Uncertainty Minimization CoRR (2013)
Amaury Habrard, Jean-Philippe Peyrache, Marc Sebban
Boosting for Unsupervised Domain Adaptation. ECML/PKDD (2) (2013)
Aurélien Bellet, Amaury Habrard, Marc Sebban
A Survey on Metric Learning for Feature Vectors and Structured Data. CoRR (2013)
Basura Fernando, Amaury Habrard, Marc Sebban, Tinne Tuytelaars
Unsupervised Visual Domain Adaptation Using Subspace Alignment. ICCV (2013)
Aurélien Bellet, Amaury Habrard, Marc Sebban
Good edit similarity learning by loss minimization. Mach. Learn. 89 (1-2) (2012)
Basura Fernando, Élisa Fromont, Damien Muselet, Marc Sebban
Supervised learning of Gaussian mixture models for visual vocabulary generation. Pattern Recognit. 45 (2) (2012)
Aurélien Bellet, Amaury Habrard, Marc Sebban
Similarity Learning for Provably Accurate Sparse Linear Classification. ICML (2012)
Basura Fernando, Élisa Fromont, Damien Muselet, Marc Sebban
Discriminative feature fusion for image classification. CVPR (2012)
Leonor Becerra-Bonache, Élisa Fromont, Amaury Habrard, Michaël Perrot, Marc Sebban
Speeding Up Syntactic Learning Using Contextual Information. ICGI (2012)
Amaury Habrard, Jean-Philippe Peyrache, Marc Sebban
Domain Adaptation with Good Edit Similarities: A Sparse Way to Deal with Scaling and Rotation Problems in Image Classification. ICTAI (2011)
Marc Bernard, Baptiste Jeudy, Jean-Philippe Peyrache, Marc Sebban, Franck Thollard
Using the H-Divergence to Prune Probabilistic Automata. ICTAI (2011)
Aurélien Bellet, Amaury Habrard, Marc Sebban
Learning Good Edit Similarities with Generalization Guarantees. ECML/PKDD (1) (2011)
Aurélien Bellet, Marc Sebban, Amaury Habrard
An Experimental Study on Learning with Good Edit Similarity Functions. ICTAI (2011)
Aurélien Bellet, Marc Bernard, Thierry Murgue, Marc Sebban
Learning state machine-based string edit kernels. Pattern Recognit. 43 (6) (2010)
Cécile Barat, Christophe Ducottet, Élisa Fromont, Anne-Claire Legrand, Marc Sebban
Weighted Symbols-Based Edit Distance for String-Structured Image Classification. ECML/PKDD (1) (2010)
Stéphanie Jacquemont, François Jacquenet, Marc Sebban
Discovering Patterns in Flows: A Privacy Preserving Approach with the ACSM Prototype. ECML/PKDD (2) (2009)
Stéphanie Jacquemont, François Jacquenet, Marc Sebban
A lower bound on the sample size needed to perform a significant frequent pattern mining task. Pattern Recognit. Lett. 30 (11) (2009)
Laurent Boyer, Olivier Gandrillon, Amaury Habrard, Mathilde Pellerin, Marc Sebban
Learning Constrained Edit State Machines. ICTAI (2009)
Stéphanie Jacquemont, François Jacquenet, Marc Sebban
Mining probabilistic automata: a statistical view of sequential pattern mining. Mach. Learn. 75 (1) (2009)
Jean-Christophe Janodet, Marc Sebban, Henri-Maxime Suchier
Boosting Classifiers Built from Different Subsets of Features. Fundam. Informaticae 96 (1-2) (2009)
Laurent Boyer, Yann Esposito, Amaury Habrard, José Oncina, Marc Sebban
SEDiL: Software for Edit Distance Learning. ECML/PKDD (2) (2008)
Amaury Habrard, José Manuel Iñesta Quereda, David Rizo, Marc Sebban
Melody Recognition with Learned Edit Distances. SSPR/SPR (2008)
Marc Bernard, Laurent Boyer, Amaury Habrard, Marc Sebban
Learning probabilistic models of tree edit distance. Pattern Recognit. 41 (8) (2008)
Laurent Boyer, Amaury Habrard, Marc Sebban
Learning Metrics Between Tree Structured Data: Application to Image Recognition. ECML (2007)
Stéphanie Jacquemont, François Jacquenet, Marc Sebban
Correct your text with Google. Web Intelligence (2007)
José Oncina, Marc Sebban
Learning stochastic edit distance: Application in handwritten character recognition. Pattern Recognit. 39 (9) (2006)
Marc Bernard, Jean-Christophe Janodet, Marc Sebban
A Discriminative Model of Stochastic Edit Distance in the Form of a Conditional Transducer. ICGI (2006)
José Oncina, Marc Sebban
Using Learned Conditional Distributions as Edit Distance. SSPR/SPR (2006)
Stéphanie Jacquemont, François Jacquenet, Marc Sebban
Sequence Mining Without Sequences: A New Way for Privacy Preserving. ICTAI (2006)
Marc Bernard, Amaury Habrard, Marc Sebban
Learning Stochastic Tree Edit Distance. ECML (2006)
Amaury Habrard, Marc Bernard, Marc Sebban
Correction of Uniformly Noisy Distributions to Improve Probabilistic Grammatical Inference Algorithms. FLAIRS Conference (2005)
Stéphanie Jacquemont, François Jacquenet, Marc Sebban
Constrained Sequence Mining based on Probabilistic Finite State Automata. CAP (2005)
Amaury Habrard, Marc Bernard, Marc Sebban
Detecting Irrelevant Subtrees to Improve Probabilistic Learning from Tree-structured Data. Fundam. Informaticae 66 (1-2) (2005)
Jean-Christophe Janodet, Richard Nock, Marc Sebban, Henri-Maxime Suchier
l'utilisation d'un oracle de confiance. Rev. d'Intelligence Artif. 19 (4-5) (2005)
Jean-Christophe Janodet, Richard Nock, Marc Sebban, Henri-Maxime Suchier
Boosting grammatical inference with confidence oracles. ICML (2004)
François Jacquenet, Marc Sebban, Georges Valétudie
Mining Decision Rules from Deterministic Finite Automata. ICTAI (2004)
Amaury Habrard, Marc Bernard, Marc Sebban
Improvement of the State Merging Rule on Noisy Data in Probabilistic Grammatical Inference. ECML (2003)
Marc Sebban, Henri-Maxime Suchier
On Boosting Improvement: Error Reduction and Convergence Speed-Up. ECML (2003)
Richard Nock, Marc Sebban, Didier Bernard
A Simple Locally Adaptive Nearest Neighbor Rule With Application To Pollution Forecasting. Int. J. Pattern Recognit. Artif. Intell. 17 (8) (2003)
Marc Sebban, Jean-Christophe Janodet
On State Merging in Grammatical Inference: A Statistical Approach for Dealing with Noisy Data. ICML (2003)
Marc Sebban, Richard Nock
A hybrid filter/wrapper approach of feature selection using information theory. Pattern Recognit. 35 (4) (2002)
Franck Thollard, Marc Sebban, Philippe Ézéquel
Boosting Density Function Estimators. ECML (2002)
Marc Sebban, Richard Nock, Stéphane Lallich
Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem. J. Mach. Learn. Res. 3 (2002)
Marc Sebban, Igor Mokrousov, Nalin Rastogi, Christophe Sola
A data-mining approach to spacer oligonucleotide typing of Mycobacterium tuberculosis. Bioinform. 18 (2) (2002)
Richard Nock, Marc Sebban
A Bayesian boosting theorem. Pattern Recognit. Lett. 22 (3/4) (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marc Sebban