Marc Sebban

Publications

Article dans une revue (35)

CHARM High-energy Ions for Micro Electronics Reliability Assurance (CHIMERA) Kacper Bilko,Rubén García Alía,Alessandra Constantino,Andrea Coronetti,Salvatore Danzecaet 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 Aguiaret 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 Francescaet al. IEEE Transactions on Nuclear Science, 2023, 71 (4), pp.607-617. ⟨10.1109/TNS.2023.3328145⟩ Article dans une revue hal-04264101v1
Learning Complexity to Guide Light-Induced Self-Organized Nanopatterns Eduardo Brandao,Anthony Nakhoul,Stefan Duffner,Rémi Emonet,Florence Garrelieet 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 Danzecaet 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 Cecchettoet 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 Sterlet al. ACS Nano, 2022, 16 (6), pp.9410-9419. ⟨10.1021/acsnano.2c02235⟩ Article dans une revue ujm-03833058v1
Learning PDE to Model Self-Organization of Matter Eduardo Brandao,Jean-Philippe Colombier,Stefan Duffner,Rémi Emonet,Florence Garrelieet al. Entropy, 2022, 24 (8), ⟨10.3390/e24081096⟩ Article dans une revue ujm-03823722v1
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
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
A Nearest Neighbor Algorithm for Imbalanced Classification Rémi Viola,Rémi Emonet,Amaury Habrard,Guillaume Metzler,Sébastien Riouet 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
Sampled Gromov Wasserstein Tanguy Kerdoncuff,Rémi Emonet,Marc Sebban Machine Learning, 2021, ⟨10.1007/s10994-021-06035-1⟩ Article dans une revue hal-03232509v2
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
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
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
Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees Guillaume Metzler,Xavier Badiche,Brahim Belkasmi,Elisa Fromont,Amaury Habrardet al. Pattern Recognition Letters, 2018, 112, pp.310-316. ⟨10.1016/j.patrec.2018.08.016⟩ Article dans une revue hal-01878830v1
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 Fromontet 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 Faganet 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
A Computerized Prediction Model of Hazardous Inflammatory Platelet Transfusion Outcomes Kim Anh Nguyen,Hind Hamzeh-Cognasse,Marc Sebban,Elisa Fromont,Patricia Chavarinet al. PLoS ONE, 2014, pp.9(5): e97082. ⟨10.1371/journal.pone.0097082⟩ Article dans une revue hal-01011939v1
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
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
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
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
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
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
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
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
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

Communication dans un congrès (81)

Learning dynamics in ultrafast laser self-organization Fayad Ali Banna,Eduardo Brandão,Anthony Nakhoul,Rémi Emonet,Marc Sebbanet al. Progress in Ultrafast Laser Modifications of Materials, Jun 2025, Villars-sur-Ollon, France Communication dans un congrès ujm-05214760v1
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
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
A Bregman Proximal Viewpoint on Neural Operators Abdel-Rahim Mezidi,Jordan Patracone,Saverio Salzo,Amaury Habrard,Massimiliano Pontilet al. International Conference on Machine Learning, Jul 2025, Vancouver, Canada Communication dans un congrès hal-04584456v3
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
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
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
Deciphering the complexity behind laser-induced selforganized nanopatterns Jean-Philippe Colombier,Eduardo Brandao,Anthony Nakhoul,Fayad Ali Banna,Rémi Emonetet al. 17th International Conference on Laser Ablation (COLA 2024), Sep 2024, Hersonissos, Greece Communication dans un congrès ujm-04881596v1
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
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
Is My Neural Net Driven by the MDL Principle? Eduardo Brandao,Stefan Duffner,Rémi Emonet,Amaury Habrard,François Jacquenetet 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 Hébertet al. 12th international conference on metamaterials, Jul 2022, torremolinos, Spain Communication dans un congrès ujm-03833360v1
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
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
Stochasticity versus determinism in LIPSS formation Jean-Philippe Colombier,Eduardo Brandao,Anthony Nakhoul,Rémi Emonet,Florence Garrelieet al. 10th International Workshop LIPSS, Sep 2022, Orléans, France Communication dans un congrès ujm-03823762v1
Fast Multiscale Diffusion on Graphs Sibylle Marcotte,Amélie Barbe,Rémi Gribonval,Titouan Vayer,Marc Sebbanet 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
Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation Amélie Barbe,Paulo Gonçalves,Marc Sebban,Pierre Borgnat,Rémi Gribonvalet 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
Landmark-based Ensemble Learning with Random Fourier Features and Gradient Boosting Léo Gautheron,Pascal Germain,Amaury Habrard,Guillaume Metzler,Emilie Morvantet 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
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
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
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
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
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
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
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
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
From Cost-Sensitive Classification to Tight F-measure Bounds Kevin Bascol,Rémi Emonet,Elisa Fromont,Amaury Habrard,Guillaume Metzleret 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
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data Rémi Viola,Rémi Emonet,Amaury Habrard,Guillaume Metzler,Sébastien Riouet 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
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 Riouet 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 &quot;random Fourier features&quot; basée sur l'apprentissage PAC-Bayésien via des points d'intérêts Léo Gautheron,Pascal Germain,Amaury Habrard,Gaël Letarte,Emilie Morvantet 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 Metzleret al. Conférence pour l'Apprentissage Automatique, Jun 2018, Saint-Etienne du Rouvray, France Communication dans un congrès hal-01803183v1
Tree-based Cost-Sensitive Methods for Fraud Detection in Imbalanced Data Guillaume Metzler,Xavier Badiche,Brahim Belkasmi,Elisa Fromont,Amaury Habrardet 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
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
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
Apprentissage de sphères maximales d’exclusion avec garanties théoriques Guillaume Metzler,Xavier Badiche,Brahim Belkasmi,Stéphane Canu,Elisa Fromontet al. Conférence sur l'Apprentissage Automatique, Jun 2017, Grenoble, France Communication dans un congrès hal-01581550v1
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
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
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
Computing Image Descriptors from Annotations Acquired from External Tools Jose Carlos Rangel,Miguel Cazorla,Ismael García-Varea,Jesús Martínez-Gómez,Elisa Fromontet al. ROBOT 2015: Second Iberian Robotics Conference, Nov 2015, Lisbon, Portugal Communication dans un congrès hal-01224441v1
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 Conférence d'Apprentissage Automatique, 2005, Nice, France. pp.15-30 Communication dans un congrès hal-00374062v1

Poster de conférence (2)

Hybrid Physics-inspired Machine Learning for CO₂ Capture Process Modeling Mickaël Gault,Pierre Bachaud,Benoit Celse,Adrien Spagnol,Rémi Emonetet al. PIML DAY : Methodological and theoretical advances in Physics-Informed Machine Learning, Apr 2026, Palaiseau, France. 2026 Poster de conférence hal-05591265v1
Predicting laser energy absorption on nanostructured surfaces with deep learning Fayad Ali Banna,Anton Rudenko,Rémi Emonet,Marc Sebban,Jean-Philippe Colombier Machine Learning in Photonics, Apr 2024, Strasbourg, France. SPIE, pp.74, ⟨10.1117/12.3022317⟩ Poster de conférence hal-04888157v1

Ouvrages (3)

Advances in Domain Adaptation Theory Ievgen Redko,Emilie Morvant,Amaury Habrard,Marc Sebban,Younès Bennani Elsevier; ISTE, 2019, 9781785482366 Ouvrages hal-02286281v1
Metric Learning Aurélien Bellet,Amaury Habrard,Marc Sebban Morgan & Claypool Publishers (USA), Synthesis Lectures on Artificial Intelligence and Machine Learning, pp 1-151, 9 (1), pp.1-151, 2015, Synthesis Lectures on Artificial Intelligence and Machine Learning, ⟨10.2200/S00626ED1V01Y201501AIM030⟩ Ouvrages hal-01121733v1
Proceddings of 16ème Conférence d’Apprentissage CAp’2014 Marc Sebban,Ludovic Denoyer,Amaury Habrard 2014 Ouvrages hal-01357561v1

Chapitre d'ouvrage (1)

Unsupervised Domain Adaptation Based on Subspace Alignment Basura Fernando,Rahaf Aljundi,Rémi Emonet,Amaury Habrard,Marc Sebbanet 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

Pré-publication, Document de travail (3)

Photonic Self-Learning in Ultrafast Laser-Induced Complexity Fayad Ali Banna,Eduardo Brandão,Anthony Nakhoul,Rémi Emonet,Marc Sebbanet al. 2025 Pré-publication, Document de travail hal-05012225v1
Unrolled-SINDy: A Stable Explicit Method for Non linear PDE Discovery from Sparsely Sampled Data Fayad Ali Banna,Antoine Caradot,Eduardo Brandão,Jean-Philippe Colombier,Rémi Emonetet al. 2025 Pré-publication, Document de travail hal-05324777v1
Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting Léo Gautheron,Pascal Germain,Amaury Habrard,Emilie Morvant,Marc Sebbanet al. 2019 Pré-publication, Document de travail hal-02148618v1

Rapport (2)

A survey on domain adaptation theory: learning bounds and theoretical guarantees Ievgen Redko,Emilie Morvant,Amaury Habrard,Marc Sebban,Younès Bennani ArXiv:2004.11829. 2020 Rapport hal-04693771v1
A Survey on Metric Learning for Feature Vectors and Structured Data Aurélien Bellet,Amaury Habrard,Marc Sebban [Research Report] Laboratoire Hubert Curien UMR 5516. 2013 Rapport (rapport de recherche) hal-01666935v1