Marc Sebban

127
Documents

Publications

Publications

CHARM High-energy Ions for Micro Electronics Reliability Assurance (CHIMERA)

Kacper Bilko , Rubén García Alía , Alessandra Constantino , Andrea Coronetti , Salvatore Danzeca et al.

IEEE Transactions on Nuclear Science, 2024, pp.1-1. ⟨10.1109/TNS.2024.3358376⟩

Article dans une revue hal-04421732v1

Mixed-field Radiation Monitoring and Beam Characterisation Through Silicon Diode Detectors

Kacper Bilko , Rubén García Alía , Mario Sacristan Barbero , Sylvain Girard , Ygor Aguiar et al.

IEEE Transactions on Nuclear Science, 2024, 71 (4), pp.777-784. ⟨10.1109/TNS.2024.3350342⟩

Article dans une revue hal-04378518v1

Radiation environment in the Large Hadron Collider during the 2022 restart and related RHA implications

Kacper Biłko , Rubén García Alía , Ygor Aguiar , Salvatore Danzeca , Diego Di Francesca et al.

IEEE Transactions on Nuclear Science, 2023, 71 (4), pp.607-617. ⟨10.1109/TNS.2023.3328145⟩

Article dans une revue hal-04264101v1
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Learning Complexity to Guide Light-Induced Self-Organized Nanopatterns

Eduardo Brandao , Anthony Nakhoul , Stefan Duffner , Rémi Emonet , Florence Garrelie et al.

Physical Review Letters, 2023, 130, pp.226201. ⟨10.1103/physrevlett.130.226201⟩

Article dans une revue ujm-04157829v1

CERN Super Proton Synchrotron Radiation Environment and Related Radiation Hardness Assurance Implications

Kacper Biłko , Rubén García Alía , Diego Di Francesca , Ygor Aguiar , Salvatore Danzeca et al.

IEEE Transactions on Nuclear Science, 2023, 70 (8), pp.1606-1615. ⟨10.1109/TNS.2023.3261181⟩

Article dans une revue hal-04253175v1

Ultra-large Silicon Diode for Characterising Low-intensity Radiation Environments

Kacper Biłko , Rubén García Alía , Sylvain Girard , Mario Sacristan Barbero , Matteo Cecchetto et al.

IEEE Transactions on Nuclear Science, 2023, 71 (4), pp.770-776. ⟨10.1109/TNS.2023.3337839⟩

Article dans une revue hal-04378515v1

Predicting Laser-Induced Colors of Random Plasmonic Metasurfaces and Optimizing Image Multiplexing Using Deep Learning

Hongfeng Ma , Nicolas Dalloz , Amaury Habrard , Marc Sebban , Florian Sterl et al.

ACS Nano, 2022, 16 (6), pp.9410-9419. ⟨10.1021/acsnano.2c02235⟩

Article dans une revue ujm-03833058v1
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Learning PDE to Model Self-Organization of Matter

Eduardo Brandao , Jean-Philippe Colombier , Stefan Duffner , Rémi Emonet , Florence Garrelie et al.

Entropy, 2022, 24 (8), ⟨10.3390/e24081096⟩

Article dans une revue ujm-03823722v1
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MetaAP: a meta-tree-based ranking algorithm optimizing the average precision from imbalanced data

Rémi Viola , Léo Gautheron , Amaury Habrard , Marc Sebban

Pattern Recognition Letters, 2022, 161, pp.161-167. ⟨10.1016/j.patrec.2022.07.019⟩

Article dans une revue hal-03826066v1

Architecture for Automatic Recognition of Group Activities Using Local Motions and Context

Luis Felipe Borja-Borja , Jorge Azorin-Lopez , Marcelo Saval-Calvo , Andres Fuster-Guillo , Marc Sebban

IEEE Access, 2022, 10, pp.79874-79889. ⟨10.1109/ACCESS.2022.3195035⟩

Article dans une revue hal-03826076v1
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A Nearest Neighbor Algorithm for Imbalanced Classification

Rémi Viola , Rémi Emonet , Amaury Habrard , Guillaume Metzler , Sébastien Riou et al.

International Journal on Artificial Intelligence Tools, 2021, 30 (03), pp.2150013. ⟨10.1142/S0218213021500135⟩

Article dans une revue hal-04646114v2

Iterative multilinear optimization for planar model fitting under geometric constraints

Jorge Azorin-Lopez , Marc Sebban , Andres Fuster-Guillo , Marcelo Saval-Calvo , Amaury Habrard

PeerJ Computer Science, 2021, 7, pp.e691. ⟨10.7717/peerj-cs.691⟩

Article dans une revue hal-03375056v1
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Sampled Gromov Wasserstein

Tanguy Kerdoncuff , Rémi Emonet , Marc Sebban

Machine Learning, 2021, ⟨10.1007/s10994-021-06035-1⟩

Article dans une revue hal-03232509v2
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Metric Learning from Imbalanced Data with Generalization Guarantees

Léo Gautheron , Amaury Habrard , Emilie Morvant , Marc Sebban

Pattern Recognition Letters, 2020, 133, pp.298-304. ⟨10.1016/j.patrec.2020.03.008⟩

Article dans une revue hal-02868492v1
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Deep Multi-Wasserstein Unsupervised Domain Adaptation

Tien-Nam Le , Amaury Habrard , Marc Sebban

Pattern Recognition Letters, 2019, 125, pp.249-255. ⟨10.1016/j.patrec.2019.04.025⟩

Article dans une revue hal-02114975v1
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On the analysis of adaptability in multi-source domain adaptation

Ievgen Redko , Amaury Habrard , Marc Sebban

Machine Learning, 2019, ⟨10.1007/s10994-019-05823-0⟩

Article dans une revue hal-02168941v1
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Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees

Guillaume Metzler , Xavier Badiche , Brahim Belkasmi , Elisa Fromont , Amaury Habrard et al.

Pattern Recognition Letters, 2018, 112, pp.310-316. ⟨10.1016/j.patrec.2018.08.016⟩

Article dans une revue hal-01878830v1
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Learning Discriminative Tree Edit Similarities for Linear Classification - Application to Melody Recognition

Aurélien Bellet , José F. Bernabeu , Amaury Habrard , Marc Sebban

Neurocomputing, 2016, 214, pp.155-161. ⟨10.1016/j.neucom.2016.06.006⟩

Article dans une revue hal-01330492v1

Scene classification based on semantic labeling

Jangel José Carlos , Cazorla Miguel , Garcia-Varea Ismael , Martinez Gomez Jesus , Elisa Fromont et al.

Advanced Robotics, 2016, 30 (11-12), pp.758-769. ⟨10.1080/01691864.2016.1164621⟩

Article dans une revue hal-01330461v1

Platelet components associated with adverse reactions: predictive value of mitochondrial DNA relative to biological response modifiers

Fabrice Cognasse , Chaker Aloui , Kim Anh Nguyen , Hind Hamzeh-Cognasse , Jocelyne Fagan et al.

Transfusion, 2015, 56 (2), pp.497-504. ⟨10.1111/trf.13373⟩

Article dans une revue istex hal-01203813v1

A New Boosting Algorithm for Provably Accurate Unsupervised Domain Adaptation

Amaury Habrard , Jean-Philippe Peyrache , Marc Sebban

Knowledge and Information Systems (KAIS), 2015, pp.1. ⟨10.1007/s10115-015-0839-2⟩

Article dans une revue hal-01144896v1
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A Computerized Prediction Model of Hazardous Inflammatory Platelet Transfusion Outcomes

Kim Anh Nguyen , Hind Hamzeh-Cognasse , Marc Sebban , Elisa Fromont , Patricia Chavarin et al.

PLoS ONE, 2014, pp.9(5): e97082. ⟨10.1371/journal.pone.0097082⟩

Article dans une revue hal-01011939v1
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Learning A Priori Constrained Weighted Majority Votes

Aurélien Bellet , Amaury Habrard , Emilie Morvant , Marc Sebban

Machine Learning, 2014, 97 (1-2), pp.129-154. ⟨10.1007/s10994-014-5462-z⟩

Article dans une revue hal-01009578v1

Iterative Self-labeling Domain Adaptation for Linear Structured Image Classification

Amaury Habrard , Jean-Philippe Peyrache , Marc Sebban

International Journal on Artificial Intelligence Tools, 2013, 22 (05), pp.1360005. ⟨10.1142/S0218213013600051⟩

Article dans une revue hal-00869404v1
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Supervised Learning of Gaussian Mixture Models forVisual Vocabulary Generation

Basura Fernando , Elisa Fromont , Damien Muselet , Marc Sebban

Pattern Recognition, 2012, 45 (2), pp.897-907. ⟨10.1016/j.patcog.2011.07.021⟩

Article dans une revue hal-00617693v1
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Good edit similarity learning by loss minimization

Aurélien Bellet , Amaury Habrard , Marc Sebban

Machine Learning, 2012, 89, pp.5-35. ⟨10.1007/s10994-012-5293-8⟩

Article dans une revue hal-00690240v1
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Learning State Machine-based String Edit Kernels

Aurélien Bellet , Marc Bernard , Thierry Murgue , Marc Sebban

Pattern Recognition, 2010, 43 (2010), pp.2330-2339. ⟨10.1016/j.patcog.2009.12.008⟩

Article dans une revue hal-00462538v1
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Boosting Classifiers built from Different Subsets of Features

Jean-Christophe Janodet , Marc Sebban , Henri-Maxime Suchier

Fundamenta Informaticae, 2009, 94 (2009), pp.1-21. ⟨10.3233/FI-2009-131⟩

Article dans une revue hal-00403242v1
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A Lower Bound on the Sample Size needed to perform a Significant Frequent Pattern Mining Task

Stéphanie Jacquemont , François Jacquenet , Marc Sebban

Pattern Recognition Letters, 2009, 30 (2009), pp.960-967. ⟨10.1016/j.patrec.2009.05.002⟩

Article dans une revue hal-00381667v2

Mining Probabilistic Automata: A Statistical View of Sequential Pattern Mining

Stéphanie Jacquemont , François Jacquenet , Marc Sebban

Machine Learning, 2009, 75 (1), pp.91-127. ⟨10.1007/s10994-008-5098-y⟩

Article dans une revue hal-00347865v1
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Learning Probabilistic Models of Tree Edit Distance

Marc Bernard , Laurent Boyer , Amaury Habrard , Marc Sebban

Pattern Recognition, 2008, 41 (8), pp.2611-2629. ⟨10.1016/j.patcog.2008.01.011⟩

Article dans une revue hal-00224992v1
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Learning Stochastic Edit Distance: application in handwritten character recognition

Jose Oncina , Marc Sebban

Pattern Recognition, 2006, 39 (9), pp.1575-1587. ⟨10.1016/j.patcog.2006.03.011⟩

Article dans une revue hal-00114106v1

Adaptation du boosting à l'inférence grammaticale via l'utilisation d'un oracle de confiance

Jean-Christophe Janodet , Richard Nock , Marc Sebban , Henri-Maxime Suchier

Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2005, 19 (4), pp.713-740

Article dans une revue ujm-00352794v1
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Detecting Irrelevant subtrees to improve probabilistic learning from tree-structured data

Amaury Habrard , Marc Bernard , Marc Sebban

Fundamenta Informaticae, 2005, 66 (1,2), pp.103-130

Article dans une revue hal-00369445v1

A SIMPLE LOCALLY ADAPTIVE NEAREST NEIGHBOR RULE WITH APPLICATION TO POLLUTION FORECASTING

Richard Nock , Marc Sebban , Didier Bernard

International Journal of Pattern Recognition and Artificial Intelligence, 2003, 17 (08), pp.1369-1382. ⟨10.1142/S0218001403002952⟩

Article dans une revue hal-01978937v1
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Learning dynamics in ultrafast laser self-organization

Fayad Ali Banna , Eduardo Brandão , Anthony Nakhoul , Rémi Emonet , Marc Sebban et al.

Progress in Ultrafast Laser Modifications of Materials, Jun 2025, Villars-sur-Ollon, France

Communication dans un congrès ujm-05214760v1
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Physics-Informed Machine Learning for Modeling CO2 Capture from Scarce Data

Mickaël Gault , Pierre Bachaud , Benoît Celse , Rémi Emonet , Marc Sebban

37th IEEE International Conference on Tools with Artificial Intelligence, Institute of Electrical and Electronics Engineers, Nov 2025, Athènes, Greece. pp.1436-1442, ⟨10.1109/ICTAI66417.2025.00207⟩

Communication dans un congrès hal-05313730v1
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Provably Accurate Adaptive Sampling for Collocation Points in Physics-informed Neural Networks

Antoine Caradot , Rémi Emonet , Amaury Habrard , Abdel-Rahim Mezidi , Marc Sebban

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2025, Porto, Portugal. pp.19-37, ⟨10.1007/978-3-032-06096-9_2⟩

Communication dans un congrès hal-05017201v3
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Méthode de quadrature pour les PINNs fondée théoriquement sur la hessienne des résiduels

Antoine Caradot , Rémi Emonet , Abdel-Rahim Mezidi , Amaury Habrard , Marc Sebban

30ème Colloque sur le traitement du signal et des images GRETSI, Aug 2025, Strasbourg, France

Communication dans un congrès hal-05128227v1
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A Bregman Proximal Viewpoint on Neural Operators

Abdel-Rahim Mezidi , Jordan Patracone , Saverio Salzo , Amaury Habrard , Massimiliano Pontil et al.

International Conference on Machine Learning, Jul 2025, Vancouver, Canada

Communication dans un congrès hal-04584456v3

Generative shape deformation with optimal transport using learned transformations

Jorge Azorin-Lopez , Marc Sebban , Nahuel Garcia-d'Urso , Amaury Habrard , Andres Fuster-Guillo

International Joint Conference on Neural Networks (IJCNN), Jun 2024, YOKOHAMA, Japan

Communication dans un congrès hal-04628534v1
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Physics-informed Machine Learning for Better Understanding Laser-Matter Interaction

Fayad Ali Banna , Jean-Philippe Colombier , Rémi Emonet , Marc Sebban

The 36th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2024), IEEE, Oct 2024, Herndon, VA, United States. pp.7

Communication dans un congrès hal-04717837v1
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Deciphering the complexity behind laser-induced selforganized nanopatterns

Jean-Philippe Colombier , Eduardo Brandao , Anthony Nakhoul , Fayad Ali Banna , Rémi Emonet et al.

17th International Conference on Laser Ablation (COLA 2024), Sep 2024, Hersonissos, Greece

Communication dans un congrès ujm-04881596v1
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Approximation Error of Sobolev Regular Functions with tanh Neural Networks: Theoretical Impact on PINNs

Benjamin Girault , Rémi Emonet , Amaury Habrard , Jordan Patracone , Marc Sebban

ECML PKDD 2024 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania

Communication dans un congrès hal-04518335v1
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Unsupervised Learning and Effective Complexity: introducing JPG and Neural Sophistication

Erick Gomez Soto , Rémi Emonet , Marc Sebban

International Conference on Tools with Artificial Intelligence (ICTAI), Oct 2024, Herndon, United States

Communication dans un congrès hal-04830374v1

Overview of total ionizing dose levels in the Large Hadron Collider during 2022 restart

Kacper Biłko , Ruben Garcia Alia , Sylvain Girard , Marc Sebban

14th International Particle Accelerator Conference, May 2023, Geneva, Switzerland. ⟨10.18429/jacow-ipac2023-thpa047⟩

Communication dans un congrès hal-04675281v1
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Is My Neural Net Driven by the MDL Principle?

Eduardo Brandao , Stefan Duffner , Rémi Emonet , Amaury Habrard , François Jacquenet et al.

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2023, Turin, France. pp.173-189, ⟨10.1007/978-3-031-43415-0_11⟩

Communication dans un congrès hal-04231405v1

optimized laser induced colors and image multiplexing on plasmonic quasi-random metasurfaces using deep learning

Hongfeng Ma , Nicolas Dalloz , Amaury Habrard , Marc Sebban , Mathieu Hébert et al.

12th international conference on metamaterials, Jul 2022, torremolinos, Spain

Communication dans un congrès ujm-03833360v1
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Why do State-of-the-art Super-Resolution Methods not work well for Bone Microstructure CT Imaging?

Rehan Jhuboo , Ievgen Redko , Alain Guignandon , Françoise Peyrin , Marc Sebban

EUSIPCO 2022, Aug 2022, Belgrade, France. ⟨10.23919/EUSIPCO55093.2022.9909945⟩

Communication dans un congrès hal-03726811v2
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Optimal Tensor Transport

Tanguy Kerdoncuff , Michaël Perrot , Rémi Emonet , Marc Sebban

AAAI, Feb 2022, Vancouver, Canada. ⟨10.1609/aaai.v36i7.20672⟩

Communication dans un congrès hal-03479241v1
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Stochasticity versus determinism in LIPSS formation

Jean-Philippe Colombier , Eduardo Brandao , Anthony Nakhoul , Rémi Emonet , Florence Garrelie et al.

10th International Workshop LIPSS, Sep 2022, Orléans, France

Communication dans un congrès ujm-03823762v1
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Fast Multiscale Diffusion on Graphs

Sibylle Marcotte , Amélie Barbe , Rémi Gribonval , Titouan Vayer , Marc Sebban et al.

ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapore, Singapore. ⟨10.1109/ICASSP43922.2022.9746802⟩

Communication dans un congrès hal-03212764v2
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Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation

Amélie Barbe , Paulo Gonçalves , Marc Sebban , Pierre Borgnat , Rémi Gribonval et al.

ICTAI 2021 - 33rd IEEE International Conference on Tools with Artificial Intelligence, Nov 2021, Virtual conference, France. pp.1-8, ⟨10.1109/ICTAI52525.2021.00125⟩

Communication dans un congrès hal-03353622v1
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Landmark-based Ensemble Learning with Random Fourier Features and Gradient Boosting

Léo Gautheron , Pascal Germain , Amaury Habrard , Guillaume Metzler , Emilie Morvant et al.

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent, Belgium. ⟨10.1007/978-3-030-67664-3_9⟩

Communication dans un congrès hal-02900044v1
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A Swiss Army Knife for Minimax Optimal Transport

Sofien Dhouib , Ievgen Redko , Tanguy Kerdoncuff , Rémi Emonet , Marc Sebban

Thirty-seventh International Conference on Machine Learning, Jul 2020, Vienne, Austria

Communication dans un congrès hal-02900712v1
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Metric Learning in Optimal Transport for Domain Adaptation

Tanguy Kerdoncuff , Rémi Emonet , Marc Sebban

International Joint Conference on Artificial Intelligence, Jan 2020, Kyoto, Japan. pp.2162-2168, ⟨10.24963/ijcai.2020/299⟩

Communication dans un congrès ujm-02611800v3
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Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to deal with Imbalanced Data

Rémi Viola , Rémi Emonet , Amaury Habrard , Guillaume Metzler , Marc Sebban

IJCAI 2020, the 29th International Joint Conference on Artificial Intelligence, Jul 2020, Yokohama, Japan. pp.2155-2161, ⟨10.24963/ijcai.2020/298⟩

Communication dans un congrès hal-02611586v1

MLFP: Un algorithme d'apprentissage de métrique pour la classification de données déséquilibrées

Rémi Viola , Rémi Emonet , Amaury Habrard , Guillaume Metzler , Marc Sebban

Conférence sur l'Apprentissage automatique (CAp 2020), Jun 2020, Vannes, France

Communication dans un congrès hal-02868502v1
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Graph Diffusion Wasserstein Distances

Amélie Barbe , Marc Sebban , Paulo Gonçalves , Pierre Borgnat , Rémi Gribonval

ECML PKDD 2020 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent, Belgium. pp.1-16, ⟨10.1007/978-3-030-67661-2_34⟩

Communication dans un congrès hal-02795056v1

Transport Optimal entre Graphes exploitant la Diffusion de la Chaleur

Amélie Barbe , Marc Sebban , Paulo Gonçalves , Pierre Borgnat , Rémi Gribonval

CAP 2020 - Conférence sur l'Apprentissage Automatique, Nov 2020, Vannes, France

Communication dans un congrès hal-02794961v1
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Metric Learning from Imbalanced Data

Léo Gautheron , Emilie Morvant , Amaury Habrard , Marc Sebban

International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, Oregon, United States. ⟨10.1109/ictai.2019.00131⟩

Communication dans un congrès hal-02276288v1
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Fast and Provably Effective Multi-view Classification with Landmark-based SVM

Valentina Zantedeschi , Rémi Emonet , Marc Sebban

ECML PKDD 2018, Sep 2018, Dublin, Ireland. pp.193-208, ⟨10.1007/978-3-030-10928-8_12⟩

Communication dans un congrès hal-01863895v1
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Transport Optimal sous Contrainte de Régularité pour l'Adaptation de Domaines entre Graphes avec Attributs

Dominique Barbe , Pierre Borgnat , Paulo Gonçalves , Marc Sebban

GRETSI 2019 - XXVIIème Colloque francophonede traitement du signal et des images, Aug 2019, Lille, France. pp.1-4

Communication dans un congrès hal-02154883v1
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An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data

Rémi Viola , Rémi Emonet , Amaury Habrard , Guillaume Metzler , Sébastien Riou et al.

International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, Oregon, United States. ⟨10.1109/ICTAI.2019.00042⟩

Communication dans un congrès hal-02318868v1
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From Cost-Sensitive Classification to Tight F-measure Bounds

Kevin Bascol , Rémi Emonet , Elisa Fromont , Amaury Habrard , Guillaume Metzler et al.

AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Okinawa, Japan. pp.1245-1253

Communication dans un congrès hal-02049763v1
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Une version corrigée de l’algorithme des plus proches voisins pour l’optimisation de la F-mesure dans un contexte déséquilibré

Rémi Viola , Rémi Emonet , Amaury Habrard , Guillaume Metzler , Sébastien Riou et al.

Conférence sur l'Apprentissage automatique (CAp 2019), Jul 2019, Toulouse, France

Communication dans un congrès hal-02868516v1

Differentially Private Optimal Transport: Application to Domain Adaptation

Tien-Nam Le , Amaury Habrard , Marc Sebban

IJCAI 2019, Aug 2019, Macao, China. pp.2852-2858, ⟨10.24963/ijcai.2019/395⟩

Communication dans un congrès hal-02124877v1

Revisite des "random Fourier features" basée sur l'apprentissage PAC-Bayésien via des points d'intérêts

Léo Gautheron , Pascal Germain , Amaury Habrard , Gaël Letarte , Emilie Morvant et al.

CAp 2019 - Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France

Communication dans un congrès hal-02148600v1

Un algorithme de pondération de la F-Mesure par pondération des erreurs de classfication.

Kevin Bascol , Rémi Emonet , Elisa Fromont , Amaury Habrard , Guillaume Metzler et al.

Conférence pour l'Apprentissage Automatique, Jun 2018, Saint-Etienne du Rouvray, France

Communication dans un congrès hal-01803183v1
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Tree-based Cost-Sensitive Methods for Fraud Detection in Imbalanced Data

Guillaume Metzler , Xavier Badiche , Brahim Belkasmi , Elisa Fromont , Amaury Habrard et al.

IDA 2018 - 17th International Symposium on Intelligent Data Analysis, Oct 2018, ‘s-Hertogenbosch, Netherlands. pp.213-224, ⟨10.1007/978-3-030-01768-2_18⟩

Communication dans un congrès hal-01895967v1
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Online Non-Linear Gradient Boosting in Multi-Latent Spaces

Jordan Frery , Amaury Habrard , Marc Sebban , Olivier Caelen , Liyun He-Guelton

17th International Symposium on Intelligent Data Analysis (IDA'18), Oct 2018, s-Hertogenbosch, Netherlands

Communication dans un congrès hal-01889994v1

Apprentissage de métrique pour la classification supervisée de données déséquilibrées

Léo Gautheron , Amaury Habrard , Emilie Morvant , Marc Sebban

Conférence sur l'Apprentissage Automatique, Jun 2018, Rouen, France

Communication dans un congrès hal-01888672v1
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Efficient top rank optimization with gradient boosting for supervised anomaly detection

Jordan Frery , Amaury Habrard , Marc Sebban , Olivier Caelen , Liyun He-Guelton

European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'17), Sep 2017, Skopje, Macedonia

Communication dans un congrès hal-01611346v2
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Apprentissage de sphères maximales d’exclusion avec garanties théoriques

Guillaume Metzler , Xavier Badiche , Brahim Belkasmi , Stéphane Canu , Elisa Fromont et al.

Conférence sur l'Apprentissage Automatique, Jun 2017, Grenoble, France

Communication dans un congrès hal-01581550v1
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Theoretical Analysis of Domain Adaptation with Optimal Transport

Ievgen Redko , Amaury Habrard , Marc Sebban

ECML PKDD 2017, Sep 2017, Skopje, Macedonia

Communication dans un congrès hal-01613564v1

Apprentissage de Combinaisons Convexes de Métriques Locales avec Garanties de Généralisation

Valentina Zantedeschi , Rémi Emonet , Marc Sebban

CAp2016, Jul 2016, Marseille, France

Communication dans un congrès hal-01359282v1
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beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data

Valentina Zantedeschi , Rémi Emonet , Marc Sebban

NIPS 2016, Dec 2016, Barcelona, Spain

Communication dans un congrès hal-01359298v1
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Metric Learning as Convex Combinations of Local Models with Generalization Guarantees

Valentina Zantedeschi , Rémi Emonet , Marc Sebban

CVPR2016, Jun 2016, Las Vegas, United States

Communication dans un congrès hal-01323567v1
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Computing Image Descriptors from Annotations Acquired from External Tools

Jose Carlos Rangel , Miguel Cazorla , Ismael García-Varea , Jesús Martínez-Gómez , Elisa Fromont et al.

ROBOT 2015: Second Iberian Robotics Conference, Nov 2015, Lisbon, Portugal

Communication dans un congrès hal-01224441v1
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Supervised Spectral Subspace Clustering for Visual Dictionary Creation in the Context of Image Classification

Imtiaz Masud Ziko , Elisa Fromont , Damien Muselet , Marc Sebban

ACPR 2015: 3rd IAPR Asian Conference on Pattern Recognition, Nov 2015, Kuala Lumpur, Malaysia

Communication dans un congrès hal-01224466v1

Algorithmic Robustness for Semi-Supervised (ε, γ, τ )-Good Metric Learning

Nicolae Irina , Marc Sebban , Amaury Habrard , Eric Gaussier , Massih-Reza Amini

International Conference on Neural Information Processing ICONIP, Nov 2015, Istanbul, Turkey. pp.10

Communication dans un congrès hal-01223411v1
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Landmarks-based Kernelized Subspace Alignment for Unsupervised Domain Adaptation

Rahaf Aljundi , Rémi Emonet , Damien Muselet , Marc Sebban

Computer Vision and Pattern Recognition (CVPR'2015), Jun 2015, Boston, United States

Communication dans un congrès hal-01124975v1

Joint Semi-supervised Similarity Learning for Linear Classification

Nicolae Irina , Gaussier Eric , Amaury Habrard , Marc Sebban

ECML-PKDD 2015, Sep 2015, Porto, Portugal. ⟨10.1007/978-3-319-23528-837⟩

Communication dans un congrès hal-01204642v1
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Modeling Perceptual Color Differences by Local Metric Learning

Michaël Perrot , Amaury Habrard , Damien Muselet , Marc Sebban

European Conference on Computer Vision, Sep 2014, Zurich, Switzerland

Communication dans un congrès hal-01009610v1

Modélisation de Distances Couleur Uniformes par Apprentissage de Métriques Locales

Michaël Perrot , Amaury Habrard , Damien Muselet , Marc Sebban

CAp'2014 : Conférence d'Apprentissage Automatique, Jul 2014, Saint-Étienne, France

Communication dans un congrès hal-01016472v1
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Vote de majorité a priori contraint pour la classification binaire : spécification au cas des plus proches voisins

Aurélien Bellet , Amaury Habrard , Emilie Morvant , Marc Sebban

Conférence sur l'Apprentissage Automatique (CAp), Jul 2013, Lille, France

Communication dans un congrès hal-00850241v1
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Unsupervised Visual Domain Adaptation Using Subspace Alignment

Basura Fernando , Amaury Habrard , Marc Sebban , Tinne Tuytelaars

ICCV 2013, Dec 2013, Sydney, Australia. pp.2960-2967

Communication dans un congrès hal-00869417v1
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Boosting for Unsupervised Domain Adaptation

Amaury Habrard , Jean-Philippe Peyrache , Marc Sebban

ECML PKDD 2013, Sep 2013, Prague, Czech Republic. pp.433-448

Communication dans un congrès hal-00869394v1
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Apprentissage de bonnes similarités pour la classification linéaire parcimonieuse

Aurélien Bellet , Amaury Habrard , Marc Sebban

Conférence Francophone sur l'Apprentissage Automatique - CAp 2012, May 2012, Nancy, France. 16 p

Communication dans un congrès hal-00690242v1
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Handwritten Digit Recognition using Edit Distance-Based KNN

Marc Bernard , Elisa Fromont , Amaury Habrard , Marc Sebban

Teaching Machine Learning Workshop, Jun 2012, Edinburgh, Scotland, United Kingdom

Communication dans un congrès hal-00714509v1
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Speeding Up Syntactic Learning Using Contextual Information

Leonor Becerra-Bonache , Elisa Fromont , Amaury Habrard , Michael Perrot , Marc Sebban

International Conference on Grammatical Inference, Sep 2012, United States. pp.49-53

Communication dans un congrès hal-00717809v1
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Discriminative Feature Fusion for Image Classification

Basura Fernando , Elisa Fromont , Damien Muselet , Marc Sebban

Computer Vision and Pattern Recognition, Jun 2012, Rhode Island, United States. pp.3434-3441

Communication dans un congrès hal-00690244v1
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Un Cadre Formel de Boosting pour l'Adaptation de Domaine

Amaury Habrard , Jean-Philippe Peyrache , Marc Sebban

Conférence Francophone sur l'Apprentissage Automatique - CAp 2012, Laurent Bougrain, May 2012, Nancy, France. 16 p

Communication dans un congrès hal-00745487v1
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Similarity Learning for Provably Accurate Sparse Linear Classification

Aurélien Bellet , Amaury Habrard , Marc Sebban

International Conference on Machine Learning, Jun 2012, United Kingdom

Communication dans un congrès hal-00708401v1

Using the H-divergence to Prune Probabilistic Automata

Marc Bernard , Baptiste Jeudy , Jean-Philippe Peyrache , Marc Sebban , Franck Thollard

ICTAI 2011, Nov 2011, Boca Raton, United States

Communication dans un congrès hal-00618713v1
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Learning Good Edit Similarities with Generalization Guarantees

Aurélien Bellet , Amaury Habrard , Marc Sebban

European Conference on Machine Learning, Sep 2011, Athens, Greece. pp.188-203

Communication dans un congrès hal-00608631v1

Domain Adaptation with Good Edit Similarities: a Sparse Way to deal with Scaling and Rotation Problems in Image Classification

Amaury Habrard , Jean-Philippe Peyrache , Marc Sebban

ICTAI 2011, Nov 2011, United States

Communication dans un congrès hal-00618757v1

An Experimental Study on Learning with Good Edit Similarity Functions

Aurélien Bellet , Amaury Habrard , Marc Sebban

ICTAI 2011, Nov 2011, United States

Communication dans un congrès hal-00618706v1
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Weighted Symbols-based Edit Distance for String-Structured Image Classification

Cécile Barat , Christophe Ducottet , Elisa Fromont , Anne-Claire Legrand , Marc Sebban

ECML PKDD 2010 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases., Sep 2010, Barcelona, Spain

Communication dans un congrès hal-00499468v1
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Accurate Visual Word Construction using a Supervised Approach

Basura Fernando , Elisa Fromont , Damien Muselet , Marc Sebban

25th International Conference of Image and Vision Computing New Zealand, Nov 2010, New Zealand

Communication dans un congrès hal-00555639v1
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Discovering Patterns in Flows: a Privacy Preserving Approach with the ACSM Prototype

Stéphanie Jacquemont , François Jacquenet , Marc Sebban

ECML PKDD, Sep 2009, Bled, Slovenia. pp.734--737

Communication dans un congrès hal-00431774v1

Apprentissage de noyaux d'édition de séquences

Aurélien Bellet , Marc Bernard , Thierry Murgue , Marc Sebban

Conférence d'Apprentissage : CAP 2009, May 2009, Hammamet, Tunisia. pp.à venir

Communication dans un congrès ujm-00378078v1
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Learning Constrained Edit State Machines

Laurent Boyer , Olivier Gandrillon , Amaury Habrard , Mathilde Pellerin , Marc Sebban

21st IEEE International Conference on Tools with Artificial Intelligence, Nov 2009, United States. pp.734-741

Communication dans un congrès hal-00485560v1
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SEDiL: Software for Edit Distance Learning

Laurent Boyer , Yann Esposito , Amaury Habrard , Jose Oncina , Marc Sebban

European Conference on Machine Learning (ECML 2008), Sep 2008, Belgium. pp.672-677

Communication dans un congrès hal-00295148v1

Learning String Edit Similarities using Constrained Finite State Machines

Laurent Boyer , Amaury Habrard , Fabrice Muhlenbach , Marc Sebban

CAp'08, May 2008, Porquerolles, France. pp.37-52

Communication dans un congrès hal-00369444v1
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Melody Recognition with Learned Edit Distances

Amaury Habrard , Jose-Manuel Inesta , David Rizo , Marc Sebban

Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2008 and SPR 2008, Dec 2008, Orlando, United States. pp.86-96

Communication dans un congrès hal-00322432v1
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Correct your Text with Google

Stéphanie Jacquemont , François Jacquenet , Marc Sebban

IEEE International Conference on Web Intelligence, Nov 2007, Fremont, United States. pp.xx-xx

Communication dans un congrès hal-00175284v1
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Learning Metrics between Tree Structured Data: Application to Image Recognition

Laurent Boyer , Amaury Habrard , Marc Sebban

18th European Conference on Machine Learning (ECML), Sep 2007, Warsaw, Poland. pp.54-66

Communication dans un congrès hal-00165954v1

Learning Conditional Transducers for Estimating the Distribution of String Edit Costs

Marc Bernard , Jean-Christophe Janodet , Marc Sebban

Grammatical Inference: workshop on open problems and new directions, May 2006, Saint-Etienne, France

Communication dans un congrès ujm-00352796v1
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Sequence Mining Without Sequences: a New Way for Privacy Preserving

Stéphanie Jacquemont , François Jacquenet , Marc Sebban

2006, pp.347-354

Communication dans un congrès hal-00114132v1
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Using Learned Conditional Distributions as Edit Distance

Jose Oncina , Marc Sebban

Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Aug 2006, Hong Kong, China. pp 403-411, ISBN 3-540-37236-9

Communication dans un congrès hal-00322429v1
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A Discriminative Model of Stochastic Edit Distance in the form of a Conditional Transducer

Marc Bernard , Jean-Christophe Janodet , Marc Sebban

8th International Colloquium on Grammatical Inference, Sep 2006, Tokyo, Japan. pp.240-252, ⟨10.1007/11872436_20⟩

Communication dans un congrès ujm-00109698v1
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Learning Stochastic Tree Edit Distance

Marc Bernard , Amaury Habrard , Marc Sebban

17th European Conference on Machine Learning, Sep 2006, Berlin, Germany. pp.42-53

Communication dans un congrès ujm-00109696v1

Boosting d'un pool d'apprenants faibles

Jean-Christophe Janodet , Henri-Maxime Suchier , Marc Sebban , Christine Largeron

CAp 2006, May 2006, Trégastel, France. pp.283-298

Communication dans un congrès hal-00114532v1

Constrained Sequence Mining based on Probabilistic Finite State Automata

Stéphanie Jacquemont , François Jacquenet , Marc Sebban

Conférence d'Apprentissage Automatique, 2005, Nice, France. pp.15-30

Communication dans un congrès hal-00374062v1
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Correction of Uniformly Noisy Distributions to Improve Probabilistic Grammatical Inference Algorithms

Amaury Habrard , Marc Bernard , Marc Sebban

18th International Florida Artificial Intelligence Research Society conference, May 2005, Miramar Beach, Florida, United States. pp.493-498

Communication dans un congrès ujm-00378062v1

Constrained Sequence Mining based on Probabilistic Finite State Automata

Stéphanie Jacquemont , François Jacquenet , Marc Sebban

Workshop on Mining Graphs, Trees and Structured Data at ECML/PKDD, Oct 2005, Porto, Portugal

Communication dans un congrès hal-00374061v1

Unsupervised Domain Adaptation Based on Subspace Alignment

Basura Fernando , Rahaf Aljundi , Rémi Emonet , Amaury Habrard , Marc Sebban et al.

Domain Adaptation in Computer Vision Applications. Advances in Computer Vision and Pattern Recognition, Springer International Publishing, pp.81-94, 2017, Advances in Computer Vision and Pattern Recognition, ⟨10.1007/978-3-319-58347-1_4⟩

Chapitre d'ouvrage hal-01613051v1