A Bregman Proximal Viewpoint on Neural Operators.

Marc Sebban http://perso.univ-st-etienne.fr/sebbanma/ https://mathgenealogy.org/id.php?id=195340 https://orcid.org/0000-0001-6851-169X https://www.wikidata.org/entity/Q102435628 https://d-nb.info/gnd/1110912633 https://zbmath.org/authors/?q=ai:sebban.marc Abdel-Rahim Mezidi Jordan Patracone Saverio Salzo Amaury Habrard Massimiliano Pontil Rémi Emonet Marc Sebban A Bregman Proximal Viewpoint on Neural Operators. 2025 ICML https://proceedings.mlr.press/v267/mezidi25a.html https://openreview.net/forum?id=lzzPAQ1TxA conf/icml/2025 db/conf/icml/icml2025.html#MezidiPSHPES25 Mickael Gault Pierre Bachaud Benoît Celse Rémi Emonet Marc Sebban Physics-Informed Machine Learning for Modeling CO2 Capture from Scarce Data. 1436-1442 2025 ICTAI https://doi.org/10.1109/ICTAI66417.2025.00207 conf/ictai/2025 db/conf/ictai/ictai2025.html#GaultBCES25 streams/conf/ictai Antoine Caradot Rémi Emonet Amaury Habrard Abdel-Rahim Mezidi Marc Sebban Provably Accurate Adaptive Sampling for Collocation Points in Physics-Informed Neural Networks. 19-37 2025 ECML/PKDD (5) https://doi.org/10.1007/978-3-032-06096-9_2 conf/pkdd/2025-5 db/conf/pkdd/pkdd2025-5.html#CaradotEHMS25 streams/conf/pkdd

Antoine Caradot Rémi Emonet Amaury Habrard Abdel-Rahim Mezidi Marc Sebban Provably accurate adaptive sampling for collocation points in physics-informed neural networks. 2025 April abs/2504.00910 CoRR https://doi.org/10.48550/arXiv.2504.00910 db/journals/corr/corr2504.html#abs-2504-00910 streams/journals/corr

Antoine Caradot Rémi Emonet Amaury Habrard Abdel-Rahim Mezidi Marc Sebban Méthode de quadrature pour les PINNs fondée théoriquement sur la hessienne des résiduels. 2025 June abs/2506.20441 CoRR https://doi.org/10.48550/arXiv.2506.20441 db/journals/corr/corr2506.html#abs-2506-20441 streams/journals/corr

Fayad Ali Banna Antoine Caradot Eduardo Brandao Jean-Philippe Colombier Rémi Emonet Marc Sebban Unrolled-SINDy: A Stable Explicit Method for Non linear PDE Discovery from Sparsely Sampled Data. 2025 October abs/2510.18611 CoRR https://doi.org/10.48550/arXiv.2510.18611 db/journals/corr/corr2510.html#abs-2510-18611 streams/journals/corr

Fayad Ali Banna Jean-Philippe Colombier Rémi Emonet Marc Sebban Physics-Informed Machine Learning for Better Understanding Laser-Matter Interaction. 199-205 2024 ICTAI https://doi.org/10.1109/ICTAI62512.2024.00037 conf/ictai/2024 db/conf/ictai/ictai2024.html#BannaCES24 Erick Gomez Soto Rémi Emonet Marc Sebban Unsupervised Learning and Effective Complexity: Introducing JPG and Neural Sophistication. 221-225 2024 ICTAI https://doi.org/10.1109/ICTAI62512.2024.00040 conf/ictai/2024 db/conf/ictai/ictai2024.html#SotoES24 Jorge Azorín López Marc Sebban Nahuel E. Garcia-D'Urso Amaury Habrard Andrés Fuster Guilló Generative shape deformation with optimal transport using learned transformations. 1-8 2024 IJCNN https://doi.org/10.1109/IJCNN60899.2024.10651223 conf/ijcnn/2024 db/conf/ijcnn/ijcnn2024.html#LopezSGHG24 streams/conf/ijcnn Benjamin Girault Rémi Emonet Amaury Habrard Jordan Patracone Marc Sebban Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNs. 266-282 2024 ECML/PKDD (4) https://doi.org/10.1007/978-3-031-70359-1_16 conf/pkdd/2024-4 db/conf/pkdd/pkdd2024-4.html#GiraultEHPS24 streams/conf/pkdd Eduardo Brandao Stefan Duffner Rémi Emonet Amaury Habrard François Jacquenet Marc Sebban Is My Neural Net Driven by the MDL Principle? 173-189 2023 ECML/PKDD (2) https://doi.org/10.1007/978-3-031-43415-0_11 conf/pkdd/2023-2 db/conf/pkdd/pkdd2023-2.html#BrandaoDEHJS23 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. 100-111 2023 UCAmI (2) https://doi.org/10.1007/978-3-031-48642-5_10 conf/ucami/2023-2 db/conf/ucami/ucami2023-2.html#Garcia-DUrsoGLS23

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. 79874-79889 2022 10 IEEE Access https://doi.org/10.1109/ACCESS.2022.3195035 db/journals/access/access10.html#Borja-BorjaLSGS22

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. 1096 2022 24 Entropy 8 https://doi.org/10.3390/e24081096 https://www.wikidata.org/entity/Q114031555 db/journals/entropy/entropy24.html#BrandaoCDEGHJNS22

Rémi Viola Léo Gautheron Amaury Habrard Marc Sebban MetaAP: A meta-tree-based ranking algorithm optimizing the average precision from imbalanced data. 161-167 2022 161 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2022.07.019 https://www.wikidata.org/entity/Q113867575 db/journals/prl/prl161.html#ViolaGHS22

Tanguy Kerdoncuff Rémi Emonet Michaël Perrot Marc Sebban Optimal Tensor Transport. 7124-7132 2022 AAAI https://doi.org/10.1609/aaai.v36i7.20672 https://www.wikidata.org/entity/Q114050387 conf/aaai/2022 db/conf/aaai/aaai2022.html#KerdoncuffEPS22 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? 1283-1287 2022 EUSIPCO https://ieeexplore.ieee.org/document/9909945 conf/eusipco/2022 db/conf/eusipco/eusipco2022.html#JhubooRGPS22 Sibylle Marcotte Amélie Barbe Rémi Gribonval Titouan Vayer Marc Sebban Pierre Borgnat Paulo Gonçalves 0001 Fast Multiscale Diffusion On Graphs. 5627-5631 2022 ICASSP https://doi.org/10.1109/ICASSP43922.2022.9746802 conf/icassp/2022 db/conf/icassp/icassp2022.html#MarcotteBGVSBG22

Rémi Viola Rémi Emonet Amaury Habrard Guillaume Metzler Sébastien Riou Marc Sebban A Nearest Neighbor Algorithm for Imbalanced Classification. 2150013:1-2150013:27 2021 30 Int. J. Artif. Intell. Tools 3 https://doi.org/10.1142/S0218213021500135 db/journals/ijait/ijait30.html#ViolaEHMRS21

Tanguy Kerdoncuff Rémi Emonet Marc Sebban Sampled Gromov Wasserstein. 2151-2186 2021 110 Mach. Learn. 8 https://doi.org/10.1007/s10994-021-06035-1 db/journals/ml/ml110.html#KerdoncuffES21

Jorge Azorín López Marc Sebban Andrés Fuster Guilló Marcelo Saval-Calvo Amaury Habrard Iterative multilinear optimization for planar model fitting under geometric constraints. e691 2021 7 PeerJ Comput. Sci. https://doi.org/10.7717/peerj-cs.691 https://www.wikidata.org/entity/Q110949653 db/journals/peerj-cs/peerj-cs7.html#LopezSGSH21

Amélie Barbe Paulo Gonçalves 0001 Marc Sebban Pierre Borgnat Rémi Gribonval Titouan Vayer Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation. 786-790 2021 ICTAI https://doi.org/10.1109/ICTAI52525.2021.00125 conf/ictai/2021 db/conf/ictai/ictai2021.html#BarbeGSBGV21

Sibylle Marcotte Amélie Barbe Rémi Gribonval Titouan Vayer Marc Sebban Pierre Borgnat Paulo Gonçalves 0001 Fast Multiscale Diffusion on Graphs. 2021 abs/2104.14652 CoRR https://arxiv.org/abs/2104.14652 db/journals/corr/corr2104.html#abs-2104-14652

Léo Gautheron Amaury Habrard Emilie Morvant Marc Sebban Metric Learning from Imbalanced Data with Generalization Guarantees. 298-304 2020 133 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2020.03.008 db/journals/prl/prl133.html#GautheronHMS20

Sofien Dhouib Ievgen Redko Tanguy Kerdoncuff Rémi Emonet Marc Sebban A Swiss Army Knife for Minimax Optimal Transport. 2504-2513 2020 ICML http://proceedings.mlr.press/v119/dhouib20a.html conf/icml/2020 db/conf/icml/icml2020.html#DhouibRKES20 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. 2155-2161 2020 IJCAI https://doi.org/10.24963/ijcai.2020/298 conf/ijcai/2020 db/conf/ijcai/ijcai2020.html#ViolaEHMS20 Tanguy Kerdoncuff Rémi Emonet Marc Sebban Metric Learning in Optimal Transport for Domain Adaptation. 2162-2168 2020 IJCAI https://doi.org/10.24963/ijcai.2020/299 conf/ijcai/2020 db/conf/ijcai/ijcai2020.html#KerdoncuffES20 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. 141-157 2020 ECML/PKDD (3) https://doi.org/10.1007/978-3-030-67664-3_9 conf/pkdd/2020-3 db/conf/pkdd/pkdd2020-3.html#GautheronGHMMSZ20 Amélie Barbe Marc Sebban Paulo Gonçalves 0001 Pierre Borgnat Rémi Gribonval Graph Diffusion Wasserstein Distances. 577-592 2020 ECML/PKDD (2) https://doi.org/10.1007/978-3-030-67661-2_34 conf/pkdd/2020-2 db/conf/pkdd/pkdd2020-2.html#BarbeSGBG20

Ievgen Redko Emilie Morvant Amaury Habrard Marc Sebban Younès Bennani A survey on domain adaptation theory. 2020 abs/2004.11829 CoRR https://arxiv.org/abs/2004.11829 db/journals/corr/corr2004.html#abs-2004-11829

Ievgen Redko Amaury Habrard Marc Sebban On the analysis of adaptability in multi-source domain adaptation. 1635-1652 2019 108 Mach. Learn. 8-9 https://doi.org/10.1007/s10994-019-05823-0 db/journals/ml/ml108.html#RedkoHS19

Tien-Nam Le Amaury Habrard Marc Sebban Deep multi-Wasserstein unsupervised domain adaptation. 249-255 2019 125 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2019.04.025 https://www.wikidata.org/entity/Q127966030 db/journals/prl/prl125.html#LeHS19

Kevin Bascol Rémi Emonet Élisa Fromont Amaury Habrard Guillaume Metzler Marc Sebban From Cost-Sensitive to Tight F-measure Bounds. 1245-1253 2019 AISTATS http://proceedings.mlr.press/v89/bascol19a.html conf/aistats/2019 db/conf/aistats/aistats2019.html#BascolEFHMS19 Rémi Viola Rémi Emonet Amaury Habrard Guillaume Metzler Sébastien Riou Marc Sebban An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data. 243-250 2019 ICTAI https://doi.org/10.1109/ICTAI.2019.00042 conf/ictai/2019 db/conf/ictai/ictai2019.html#ViolaEHMRS19 Léo Gautheron Amaury Habrard Emilie Morvant Marc Sebban Metric Learning from Imbalanced Data. 923-930 2019 ICTAI https://doi.org/10.1109/ICTAI.2019.00131 conf/ictai/2019 db/conf/ictai/ictai2019.html#GautheronHMS19 Nam Lê Tien Amaury Habrard Marc Sebban Differentially Private Optimal Transport: Application to Domain Adaptation. 2019 IJCAI https://doi.org/10.24963/ijcai.2019/395 conf/ijcai/2019 db/conf/ijcai/ijcai2019.html#LeTienHS19 2852-2858

Léo Gautheron Pascal Germain Amaury Habrard Emilie Morvant Marc Sebban Valentina Zantedeschi Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting. 2019 abs/1906.06203 CoRR http://arxiv.org/abs/1906.06203 db/journals/corr/corr1906.html#abs-1906-06203

Rémi Viola Rémi Emonet Amaury Habrard Guillaume Metzler Sébastien Riou Marc Sebban An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data. 2019 abs/1909.00693 CoRR http://arxiv.org/abs/1909.00693 db/journals/corr/corr1909.html#abs-1909-00693

Léo Gautheron Emilie Morvant Amaury Habrard Marc Sebban Metric Learning from Imbalanced Data. 2019 abs/1909.01651 CoRR http://arxiv.org/abs/1909.01651 db/journals/corr/corr1909.html#abs-1909-01651

Guillaume Metzler Xavier Badiche Brahim Belkasmi Élisa Fromont Amaury Habrard Marc Sebban Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees. 310-316 2018 112 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2018.08.016 db/journals/prl/prl112.html#MetzlerBBFHS18

Jordan Fréry Amaury Habrard Marc Sebban Olivier Caelen Liyun He-Guelton Online Non-linear Gradient Boosting in Multi-latent Spaces. 99-110 2018 IDA https://doi.org/10.1007/978-3-030-01768-2_9 conf/ida/2018 db/conf/ida/ida2018.html#FreryHSCH18 Guillaume Metzler Xavier Badiche Brahim Belkasmi Élisa Fromont Amaury Habrard Marc Sebban Tree-Based Cost Sensitive Methods for Fraud Detection in Imbalanced Data. 213-224 2018 IDA https://doi.org/10.1007/978-3-030-01768-2_18 conf/ida/2018 db/conf/ida/ida2018.html#MetzlerBBFHS18 Jordan Fréry Amaury Habrard Marc Sebban Liyun He-Guelton Non-Linear Gradient Boosting for Class-Imbalance Learning. 38-51 2018 LIDTA@ECML/PKDD http://proceedings.mlr.press/v94/frery18a.html conf/pkdd/2018lidta db/conf/pkdd/lidta2018.html#FreryHSH18 Valentina Zantedeschi Rémi Emonet Marc Sebban Fast and Provably Effective Multi-view Classification with Landmark-Based SVM. 193-208 2018 ECML/PKDD (2) https://doi.org/10.1007/978-3-030-10928-8_12 conf/pkdd/2018-2 db/conf/pkdd/pkdd2018-2.html#ZantedeschiES18 Jordan Fréry Amaury Habrard Marc Sebban Olivier Caelen Liyun He-Guelton Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection. 20-35 2017 ECML/PKDD (1) https://doi.org/10.1007/978-3-319-71249-9_2 conf/pkdd/2017-1 db/conf/pkdd/pkdd2017-1.html#FreryHSCH17 Ievgen Redko Amaury Habrard Marc Sebban Theoretical Analysis of Domain Adaptation with Optimal Transport. 737-753 2017 ECML/PKDD (2) https://doi.org/10.1007/978-3-319-71246-8_45 conf/pkdd/2017-2 db/conf/pkdd/pkdd2017-2.html#RedkoHS17 Basura Fernando Rahaf Aljundi Rémi Emonet Amaury Habrard Marc Sebban Tinne Tuytelaars Unsupervised Domain Adaptation Based on Subspace Alignment. 81-94 2017 Domain Adaptation in Computer Vision Applications https://doi.org/10.1007/978-3-319-58347-1_4 series/acvpr/978-3-319-58347-1 db/series/acvpr/domain2017.html#FernandoAEHST17

Valentina Zantedeschi Rémi Emonet Marc Sebban L<sup>3</sup>-SVMs: Landmarks-based Linear Local Support Vectors Machines. 2017 abs/1703.00284 CoRR http://arxiv.org/abs/1703.00284 db/journals/corr/corr1703.html#ZantedeschiES17

José Carlos Rangel Miguel Cazorla Ismael García-Varea Jesus Martínez-Gómez Élisa Fromont Marc Sebban Scene classification based on semantic labeling. 758-769 2016 30 Adv. Robotics 11-12 https://doi.org/10.1080/01691864.2016.1164621 https://www.wikidata.org/entity/Q58028078 db/journals/ar/ar30.html#RangelCGMFS16

Aurélien Bellet José Francisco Bernabeu Amaury Habrard Marc Sebban Learning discriminative tree edit similarities for linear classification - Application to melody recognition. 155-161 2016 214 Neurocomputing https://doi.org/10.1016/j.neucom.2016.06.006 db/journals/ijon/ijon214.html#BelletBHS16

Amaury Habrard Jean-Philippe Peyrache Marc Sebban A new boosting algorithm for provably accurate unsupervised domain adaptation. 45-73 2016 47 Knowl. Inf. Syst. 1 https://doi.org/10.1007/s10115-015-0839-2 db/journals/kais/kais47.html#HabrardPS16

Valentina Zantedeschi Rémi Emonet Marc Sebban Metric Learning as Convex Combinations of Local Models with Generalization Guarantees. 1478-1486 2016 CVPR https://doi.org/10.1109/CVPR.2016.164 https://doi.ieeecomputersociety.org/10.1109/CVPR.2016.164 conf/cvpr/2016 db/conf/cvpr/cvpr2016.html#ZantedeschiES16 Valentina Zantedeschi Rémi Emonet Marc Sebban beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data. 4358-4366 2016 NIPS https://proceedings.neurips.cc/paper/2016/hash/1e8c391abfde9abea82d75a2d60278d4-Abstract.html http://papers.nips.cc/paper/6156-beta-risk-a-new-surrogate-risk-for-learning-from-weakly-labeled-data conf/nips/2016 db/conf/nips/nips2016.html#ZantedeschiES16

Valentina Zantedeschi Rémi Emonet Marc Sebban Lipschitz Continuity of Mahalanobis Distances and Bilinear Forms. 2016 abs/1604.01376 CoRR http://arxiv.org/abs/1604.01376 db/journals/corr/corr1604.html#ZantedeschiES16

Ievgen Redko Amaury Habrard Marc Sebban Theoretical Analysis of Domain Adaptation with Optimal Transport. 2016 abs/1610.04420 CoRR http://arxiv.org/abs/1610.04420 db/journals/corr/corr1610.html#RedkoHS16

Maria-Irina Nicolae Éric Gaussier Amaury Habrard Marc Sebban Similarity Learning for Time Series Classification. 2016 abs/1610.04783 CoRR http://arxiv.org/abs/1610.04783 db/journals/corr/corr1610.html#NicolaeGHS16

Aurélien Bellet Amaury Habrard Marc Sebban Metric Learning Morgan & Claypool Publishers 2015 Synthesis Lectures on Artificial Intelligence and Machine Learning 978-3-031-00444-5 978-3-031-01572-4 https://doi.org/10.2200/S00626ED1V01Y201501AIM030 https://doi.org/10.1007/978-3-031-01572-4 Imtiaz Masud Ziko Élisa Fromont Damien Muselet Marc Sebban Supervised spectral subspace clustering for visual dictionary creation in the context of image classification. 356-360 2015 ACPR https://doi.org/10.1109/ACPR.2015.7486525 conf/acpr/2015 db/conf/acpr/acpr2015.html#ZikoFMS15 Rahaf Aljundi Rémi Emonet Damien Muselet Marc Sebban Landmarks-based kernelized subspace alignment for unsupervised domain adaptation. 56-63 2015 CVPR https://doi.org/10.1109/CVPR.2015.7298600 https://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298600 conf/cvpr/2015 db/conf/cvpr/cvpr2015.html#AljundiEMS15 Maria-Irina Nicolae Marc Sebban Amaury Habrard Éric Gaussier Massih-Reza Amini Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning. 253-263 2015 ICONIP (1) https://doi.org/10.1007/978-3-319-26532-2_28 conf/iconip/2015-1 db/conf/iconip/iconip2015-1.html#NicolaeSHGA15 Maria-Irina Nicolae Éric Gaussier Amaury Habrard Marc Sebban Joint Semi-supervised Similarity Learning for Linear Classification. 594-609 2015 ECML/PKDD (1) https://doi.org/10.1007/978-3-319-23528-8_37 conf/pkdd/2015-1 db/conf/pkdd/pkdd2015-1.html#NicolaeGHS15 José Carlos Rangel Miguel Cazorla Ismael García-Varea Jesus Martínez-Gómez Élisa Fromont Marc Sebban Computing Image Descriptors from Annotations Acquired from External Tools. 673-683 2015 ROBOT (2) https://doi.org/10.1007/978-3-319-27149-1_52 conf/robot/2015-2 db/conf/robot/robot2015-2.html#RangelCGMFS15 Maria-Irina Nicolae Marc Sebban Amaury Habrard Éric Gaussier Massih-Reza Amini Algorithmic Robustness for Semi-Supervised (ε, γ, τ)-Good Metric Learning. 2015 conf/iclr/2015w ICLR (Workshop) http://arxiv.org/abs/1412.6452 db/conf/iclr/iclr2015w.html#NicolaeSHGA14

Aurélien Bellet Amaury Habrard Emilie Morvant Marc Sebban Learning a priori constrained weighted majority votes. 129-154 2014 97 Mach. Learn. 1-2 https://doi.org/10.1007/s10994-014-5462-z db/journals/ml/ml97.html#BelletHMS14

Michaël Perrot Amaury Habrard Damien Muselet Marc Sebban Modeling Perceptual Color Differences by Local Metric Learning. 96-111 2014 ECCV (5) https://doi.org/10.1007/978-3-319-10602-1_7 conf/eccv/2014-5 db/conf/eccv/eccv2014-5.html#PerrotHMS14

Basura Fernando Amaury Habrard Marc Sebban Tinne Tuytelaars Subspace Alignment For Domain Adaptation. 2014 abs/1409.5241 CoRR http://arxiv.org/abs/1409.5241 db/journals/corr/corr1409.html#FernandoHST14

Amaury Habrard Jean-Philippe Peyrache Marc Sebban Iterative Self-Labeling Domain Adaptation for Linear Structured Image Classification. 2013 22 Int. J. Artif. Intell. Tools 5 https://doi.org/10.1142/S0218213013600051 db/journals/ijait/ijait22.html#HabrardPS13

Basura Fernando Amaury Habrard Marc Sebban Tinne Tuytelaars Unsupervised Visual Domain Adaptation Using Subspace Alignment. 2960-2967 2013 ICCV https://doi.org/10.1109/ICCV.2013.368 https://doi.ieeecomputersociety.org/10.1109/ICCV.2013.368 conf/iccv/2013 db/conf/iccv/iccv2013.html#FernandoHST13 Amaury Habrard Jean-Philippe Peyrache Marc Sebban Boosting for Unsupervised Domain Adaptation. 433-448 2013 ECML/PKDD (2) https://doi.org/10.1007/978-3-642-40991-2_28 conf/pkdd/2013-2 db/conf/pkdd/pkdd2013-2.html#HabrardPS13

Marc Sebban Richard Nock Combining Feature and Prototype Pruning by Uncertainty Minimization http://arxiv.org/abs/1301.3891 2013 CoRR abs/1301.3891 db/journals/corr/corr1301.html#abs-1301-3891

Aurélien Bellet Amaury Habrard Marc Sebban A Survey on Metric Learning for Feature Vectors and Structured Data. 2013 CoRR http://arxiv.org/abs/1306.6709 abs/1306.6709 db/journals/corr/corr1306.html#BelletHS13

Aurélien Bellet Amaury Habrard Marc Sebban Good edit similarity learning by loss minimization. 5-35 2012 89 Mach. Learn. 1-2 https://doi.org/10.1007/s10994-012-5293-8 db/journals/ml/ml89.html#BelletHS12

Basura Fernando Élisa Fromont Damien Muselet Marc Sebban Supervised learning of Gaussian mixture models for visual vocabulary generation. 897-907 2012 45 Pattern Recognit. 2 https://doi.org/10.1016/j.patcog.2011.07.021 db/journals/pr/pr45.html#FernandoFMS12

Basura Fernando Élisa Fromont Damien Muselet Marc Sebban Discriminative feature fusion for image classification. 3434-3441 2012 CVPR https://doi.org/10.1109/CVPR.2012.6248084 https://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248084 conf/cvpr/2012 db/conf/cvpr/cvpr2012.html#FernandoFMS12 Aurélien Bellet Amaury Habrard Marc Sebban Similarity Learning for Provably Accurate Sparse Linear Classification. 2012 ICML http://icml.cc/2012/papers/919.pdf conf/icml/2012 db/conf/icml/icml2012.html#BelletHS12 Leonor Becerra-Bonache Élisa Fromont Amaury Habrard Michaël Perrot Marc Sebban Speeding Up Syntactic Learning Using Contextual Information. 49-53 ICGI 2012 conf/icgi/2012 http://proceedings.mlr.press/v21/becerra12a.html db/journals/jmlr/jmlrp21.html#Becerra-BonacheFHPS12 Aurélien Bellet Marc Sebban Amaury Habrard An Experimental Study on Learning with Good Edit Similarity Functions. 126-133 2011 ICTAI https://doi.org/10.1109/ICTAI.2011.27 https://doi.ieeecomputersociety.org/10.1109/ICTAI.2011.27 conf/ictai/2011 db/conf/ictai/ictai2011.html#BelletSH11 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. 181-188 2011 ICTAI https://doi.org/10.1109/ICTAI.2011.35 https://doi.ieeecomputersociety.org/10.1109/ICTAI.2011.35 conf/ictai/2011 db/conf/ictai/ictai2011.html#HabrardPS11 Marc Bernard Baptiste Jeudy Jean-Philippe Peyrache Marc Sebban Franck Thollard Using the H-Divergence to Prune Probabilistic Automata. 725-731 2011 ICTAI https://doi.org/10.1109/ICTAI.2011.114 https://doi.ieeecomputersociety.org/10.1109/ICTAI.2011.114 conf/ictai/2011 db/conf/ictai/ictai2011.html#BernardJPST11 Aurélien Bellet Amaury Habrard Marc Sebban Learning Good Edit Similarities with Generalization Guarantees. 188-203 2011 ECML/PKDD (1) https://doi.org/10.1007/978-3-642-23780-5_22 conf/pkdd/2011-1 db/conf/pkdd/pkdd2011-1.html#BelletHS11

Aurélien Bellet Marc Bernard Thierry Murgue Marc Sebban Learning state machine-based string edit kernels. 2330-2339 2010 43 Pattern Recognit. 6 https://doi.org/10.1016/j.patcog.2009.12.008 db/journals/pr/pr43.html#BelletBMS10

Cécile Barat Christophe Ducottet Élisa Fromont Anne-Claire Legrand Marc Sebban Weighted Symbols-Based Edit Distance for String-Structured Image Classification. 72-86 2010 ECML/PKDD (1) https://doi.org/10.1007/978-3-642-15880-3_11 conf/pkdd/2010-1 db/conf/pkdd/pkdd2010-1.html#BaratDFLS10

Jean-Christophe Janodet Marc Sebban Henri-Maxime Suchier Boosting Classifiers Built from Different Subsets of Features. 89-109 2009 96 Fundam. Informaticae 1-2 https://doi.org/10.3233/FI-2009-169 db/journals/fuin/fuin96.html#JanodetSS09

Stéphanie Jacquemont François Jacquenet Marc Sebban Mining probabilistic automata: a statistical view of sequential pattern mining. 91-127 2009 75 Mach. Learn. 1 https://doi.org/10.1007/s10994-008-5098-y db/journals/ml/ml75.html#JacquemontJS09

Stéphanie Jacquemont François Jacquenet Marc Sebban A lower bound on the sample size needed to perform a significant frequent pattern mining task. 960-967 2009 30 Pattern Recognit. Lett. 11 https://doi.org/10.1016/j.patrec.2009.05.002 db/journals/prl/prl30.html#JacquemontJS09

Laurent Boyer 0002 Olivier Gandrillon Amaury Habrard Mathilde Pellerin Marc Sebban Learning Constrained Edit State Machines. 734-741 2009 ICTAI https://doi.org/10.1109/ICTAI.2009.27 https://doi.ieeecomputersociety.org/10.1109/ICTAI.2009.27 conf/ictai/2009 db/conf/ictai/ictai2009.html#BoyerGHPS09 Stéphanie Jacquemont François Jacquenet Marc Sebban Discovering Patterns in Flows: A Privacy Preserving Approach with the ACSM Prototype. 734-737 2009 ECML/PKDD (2) https://doi.org/10.1007/978-3-642-04174-7_52 conf/pkdd/2009-2 db/conf/pkdd/pkdd2009-2.html#JacquemontJS09

Marc Bernard Laurent Boyer 0002 Amaury Habrard Marc Sebban Learning probabilistic models of tree edit distance. 2611-2629 2008 41 Pattern Recognit. 8 https://doi.org/10.1016/j.patcog.2008.01.011 db/journals/pr/pr41.html#BernardBHS08

Laurent Boyer 0002 Yann Esposito Amaury Habrard José Oncina Marc Sebban SEDiL: Software for Edit Distance Learning. 672-677 2008 ECML/PKDD (2) https://doi.org/10.1007/978-3-540-87481-2_45 conf/pkdd/2008-2 db/conf/pkdd/pkdd2008-2.html#BoyerEHOS08 Amaury Habrard José Manuel Iñesta Quereda David Rizo Marc Sebban Melody Recognition with Learned Edit Distances. 86-96 2008 SSPR/SPR https://doi.org/10.1007/978-3-540-89689-0_13 conf/sspr/2008 db/conf/sspr/sspr2008.html#HabrardQRS08 Laurent Boyer 0002 Amaury Habrard Marc Sebban Learning Metrics Between Tree Structured Data: Application to Image Recognition. 54-66 2007 conf/ecml/2007 ECML https://doi.org/10.1007/978-3-540-74958-5_9 db/conf/ecml/ecml2007.html#BoyerHS07 Stéphanie Jacquemont François Jacquenet Marc Sebban Correct your text with Google. 170-176 2007 conf/webi/2007 Web Intelligence https://doi.org/10.1109/WI.2007.38 https://doi.ieeecomputersociety.org/10.1109/WI.2007.38 db/conf/webi/webi2007.html#JacquemontJS07

José Oncina Marc Sebban Learning stochastic edit distance: Application in handwritten character recognition. 1575-1587 2006 39 Pattern Recognit. 9 https://doi.org/10.1016/j.patcog.2006.03.011 db/journals/pr/pr39.html#OncinaS06

Marc Bernard Amaury Habrard Marc Sebban Learning Stochastic Tree Edit Distance. 42-53 2006 conf/ecml/2006 ECML https://doi.org/10.1007/11871842_9 db/conf/ecml/ecml2006.html#BernardHS06 Marc Bernard Jean-Christophe Janodet Marc Sebban A Discriminative Model of Stochastic Edit Distance in the Form of a Conditional Transducer. 240-252 2006 conf/icgi/2006 ICGI https://doi.org/10.1007/11872436_20 db/conf/icgi/icgi2006.html#BernardJS06 Stéphanie Jacquemont François Jacquenet Marc Sebban Sequence Mining Without Sequences: A New Way for Privacy Preserving. 347-354 2006 conf/ictai/2006 ICTAI https://doi.org/10.1109/ICTAI.2006.103 https://doi.ieeecomputersociety.org/10.1109/ICTAI.2006.103 db/conf/ictai/ictai2006.html#JacquemontJS06 José Oncina Marc Sebban Using Learned Conditional Distributions as Edit Distance. 403-411 2006 conf/sspr/2006 SSPR/SPR https://doi.org/10.1007/11815921_44 db/conf/sspr/sspr2006.html#OncinaS06

Amaury Habrard Marc Bernard Marc Sebban Detecting Irrelevant Subtrees to Improve Probabilistic Learning from Tree-structured Data. 103-130 2005 66 Fundam. Informaticae 1-2 http://content.iospress.com/articles/fundamenta-informaticae/fi66-1-2-06 db/journals/fuin/fuin66.html#HabrardBS05

Jean-Christophe Janodet Richard Nock Marc Sebban Henri-Maxime Suchier Adaptation du boosting à l'inférence grammaticale <i>via</i> l'utilisation d'un oracle de confiance. 713-740 2005 19 Rev. d'Intelligence Artif. 4-5 https://doi.org/10.3166/ria.19.713-740 db/journals/ria/ria19.html#JanodetNSS05

Stéphanie Jacquemont François Jacquenet Marc Sebban Constrained Sequence Mining based on Probabilistic Finite State Automata. 15-30 2005 conf/cfap/2005 CAP db/conf/cfap/cap2005.html#JacquemontJS05 Amaury Habrard Marc Bernard Marc Sebban Correction of Uniformly Noisy Distributions to Improve Probabilistic Grammatical Inference Algorithms. 493-498 2005 conf/flairs/2005 FLAIRS db/conf/flairs/flairs2005.html#HabrardBS05 http://www.aaai.org/Library/FLAIRS/2005/flairs05-081.php Jean-Christophe Janodet Richard Nock Marc Sebban Henri-Maxime Suchier Boosting grammatical inference with confidence oracles. 2004 conf/icml/2004 ICML https://doi.org/10.1145/1015330.1015336 db/conf/icml/icml2004.html#JanodetNSS04 François Jacquenet Marc Sebban Georges Valétudie Mining Decision Rules from Deterministic Finite Automata. 362-367 2004 conf/ictai/2004 ICTAI https://doi.org/10.1109/ICTAI.2004.86 https://doi.ieeecomputersociety.org/10.1109/ICTAI.2004.86 db/conf/ictai/ictai2004.html#JacquenetSV04

Richard Nock Marc Sebban Didier Bernard A Simple Locally Adaptive Nearest Neighbor Rule With Application To Pollution Forecasting. 1369-1382 2003 17 Int. J. Pattern Recognit. Artif. Intell. 8 https://doi.org/10.1142/S0218001403002952 db/journals/ijprai/ijprai17.html#NockSB03

Amaury Habrard Marc Bernard Marc Sebban Improvement of the State Merging Rule on Noisy Data in Probabilistic Grammatical Inference. 169-180 https://doi.org/10.1007/978-3-540-39857-8_17 2003 conf/ecml/2003 ECML db/conf/ecml/ecml2003.html#HabrandBS03 Marc Sebban Henri-Maxime Suchier On Boosting Improvement: Error Reduction and Convergence Speed-Up. 349-360 https://doi.org/10.1007/978-3-540-39857-8_32 2003 conf/ecml/2003 ECML db/conf/ecml/ecml2003.html#SebbanS03 Marc Sebban Jean-Christophe Janodet On State Merging in Grammatical Inference: A Statistical Approach for Dealing with Noisy Data. 688-695 2003 conf/icml/2003 ICML db/conf/icml/icml2003.html#SebbanJ03 http://www.aaai.org/Library/ICML/2003/icml03-090.php

Marc Sebban Igor Mokrousov Nalin Rastogi Christophe Sola A data-mining approach to spacer oligonucleotide typing of Mycobacterium tuberculosis. 235-243 2002 18 Bioinform. 2 db/journals/bioinformatics/bioinformatics18.html#SebbanMRS02 https://doi.org/10.1093/bioinformatics/18.2.235 https://www.wikidata.org/entity/Q30674398

Marc Sebban Richard Nock Stéphane Lallich Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem. 863-885 2002 3 J. Mach. Learn. Res. https://jmlr.org/papers/v3/sebban02a.html db/journals/jmlr/jmlr3.html#SebbanNL02

Marc Sebban Richard Nock A hybrid filter/wrapper approach of feature selection using information theory. 835-846 2002 35 Pattern Recognit. 4 https://doi.org/10.1016/S0031-3203(01)00084-X db/journals/pr/pr35.html#SebbanN02

Franck Thollard Marc Sebban Philippe Ézéquel Boosting Density Function Estimators. 431-443 2002 conf/ecml/2002 ECML https://doi.org/10.1007/3-540-36755-1_36 db/conf/ecml/ecml2002.html#ThollardSE02

Richard Nock Marc Sebban Advances in Adaptive Prototype Weighting and Selection. 137-155 2001 10 Int. J. Artif. Intell. Tools 1-2 db/journals/ijait/ijait10.html#NockS01 https://doi.org/10.1142/S0218213001000453

Richard Nock Marc Sebban An improved bound on the finite-sample risk of the nearest neighbor rule. 407-412 2001 22 Pattern Recognit. Lett. 3/4 db/journals/prl/prl22.html#NockS01 https://doi.org/10.1016/S0167-8655(00)00133-1

Richard Nock Marc Sebban A Bayesian boosting theorem. 413-419 2001 22 Pattern Recognit. Lett. 3/4 db/journals/prl/prl22.html#NockS01a https://doi.org/10.1016/S0167-8655(00)00137-9

Marc Sebban Richard Nock Improvement of Nearest-Neighbor Classifiers via Support Vector Machines. 113-117 2001 conf/flairs/2001 FLAIRS db/conf/flairs/flairs2001.html#SebbanN01 http://www.aaai.org/Library/FLAIRS/2001/flairs01-023.php Marc Sebban Richard Nock Stéphane Lallich Boosting Neighborhood-Based Classifiers. 505-512 2001 conf/icml/2001 ICML db/conf/icml/icml2001.html#SebbanNL01

Marc Sebban Richard Nock Jean-Hugues Chauchat Ricco Rakotomalala Impact of learning set quality and size on decision tree performances. 85-105 2000 1 Int. J. Comput. Syst. Signals 1 http://research.i2r.a-star.edu.sg/iaamsad/ijcss/Journals/Vol1No1/IJCSS_V1N1_p85_105.pdf db/journals/ijcss/ijcss1.html#SebbanNCR00

Marc Sebban Richard Nock Identifying and Eliminating Irrelevant Instances Using Information Theory. 90-101 2000 conf/ai/2000 AI https://doi.org/10.1007/3-540-45486-1_8 db/conf/ai/ai2000.html#SebbanN00 Richard Nock Marc Sebban Sharper Bounds for the Hardness of Prototype and Feature Selection. 224-237 https://doi.org/10.1007/3-540-40992-0_17 2000 conf/alt/2000 ALT db/conf/alt/alt2000.html#NockS00 Richard Nock Marc Sebban Pascal Jabby A Symmetric Nearest Neighbor Learning Rule. 222-233 https://doi.org/10.1007/3-540-44527-7_20 2000 conf/ewcbr/2000 EWCBR db/conf/ewcbr/ewcbr2000.html#NockSJ00 Richard Nock Marc Sebban A Boosting-Based Prototype Weighting and Selection Scheme. 71-75 2000 conf/flairs/2000 FLAIRS db/conf/flairs/flairs2000.html#NockS00 http://www.aaai.org/Library/FLAIRS/2000/flairs00-014.php Marc Sebban Richard Nock Instance Pruning as an Information Preserving Problem. 855-862 2000 conf/icml/2000 ICML db/conf/icml/icml2000.html#SebbanN00 Marc Sebban Richard Nock Contribution of Dataset Reduction Techniques to Tree-Simplification and Knowledge Discovery. 44-53 https://doi.org/10.1007/3-540-45372-5_5 2000 conf/pkdd/2000 PKDD db/conf/pkdd/pkdd2000.html#SebbanN00 Marc Sebban Richard Nock Combining Feature and Example Pruning by Uncertainty Minimization. 533-540 2000 conf/uai/2000 UAI https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=62&proceeding_id=16 db/conf/uai/uai2000.html#SebbanN00 Marc Sebban Gilles Richard From Theoretical Learnability to Statistical Measures of the Learnable. 3-14 1999 conf/ida/1999 IDA https://doi.org/10.1007/3-540-48412-4_1 db/conf/ida/ida99.html#SebbanR99 Marc Sebban Djamel A. Zighed S. Di Palma Selection and Statistical Validation of Features and Prototypes. 184-192 1999 conf/pkdd/1999 PKDD db/conf/pkdd/pkdd99.html#SebbanZP99 https://doi.org/10.1007/978-3-540-48247-5_20 Marc Sebban Richard Nock Contribution of Boosting in Wrapper Models. 214-222 1999 conf/pkdd/1999 PKDD db/conf/pkdd/pkdd99.html#SebbanN99 https://doi.org/10.1007/978-3-540-48247-5_23 Richard Nock Marc Sebban Pascal Jappy Experiments on a Representation-Independent "Top-Down and Prune" Induction Scheme. 223-231 1999 conf/pkdd/1999 PKDD db/conf/pkdd/pkdd99.html#NockSJ99 https://doi.org/10.1007/978-3-540-48247-5_24 Marc Sebban Anne M. Landraud Strings Clustering and Statistical Validation of Clusters. 298-309 1998 conf/ai/1998 Canadian AI db/conf/ai/ai1998.html#SebbanL98 https://doi.org/10.1007/3-540-64575-6_59 Marc Sebban Prototype Selection from Homogeneous Subsets by a Monte Carlo Sampling. 250-253 1998 conf/flairs/1998 FLAIRS db/conf/flairs/flairs1998.html#Sebban98 http://www.aaai.org/Library/FLAIRS/1998/flairs98-048.php

Sabine Rabaséda Ricco Rakotomalala Marc Sebban A Comparison of Some Contextual Discretization Methods. 137-157 1996 92 Inf. Sci. 1-4 db/journals/isci/isci92.html#RabasedaRS96 https://doi.org/10.1016/0020-0255(96)00054-0

Rahaf Aljundi Massih-Reza Amini Pierre Bachaud Xavier Badiche Fayad Ali Banna Cécile Barat Amélie Barbe Kevin Bascol Leonor Becerra-Bonache Brahim Belkasmi Aurélien Bellet Younès Bennani José Francisco Bernabeu Didier Bernard Marc Bernard Pierre Borgnat Luis Felipe Borja-Borja Laurent Boyer 0002 Eduardo Brandao Olivier Caelen Antoine Caradot Miguel Cazorla Benoît Celse Jean-Hugues Chauchat Jean-Philippe Colombier Sofien Dhouib Christophe Ducottet Stefan Duffner Rémi Emonet Yann Esposito Philippe Ézéquel Basura Fernando Jordan Fréry Élisa Fromont Olivier Gandrillon Nahuel E. Garcia-D'Urso Ismael García-Varea Florence Garrelie Mickael Gault Éric Gaussier Léo Gautheron Pascal Germain Benjamin Girault Paulo Gonçalves 0001 Rémi Gribonval Pablo Ramon Guevara Alain Guignandon Andrés Fuster Guilló Amaury Habrard Liyun He-Guelton Pascal Jabby Stéphanie Jacquemont François Jacquenet Jean-Christophe Janodet Pascal Jappy Baptiste Jeudy Rehan Jhuboo Tanguy Kerdoncuff Stéphane Lallich Anne M. Landraud Tien-Nam LeNam Lê Tien Anne-Claire Legrand Jorge Azorín López Sabine LoudcherSabine Rabaséda Sibylle Marcotte Jesus Martínez-Gómez Guillaume Metzler Abdel-Rahim Mezidi Igor Mokrousov Emilie Morvant Thierry Murgue Damien Muselet Anthony Nakhoul Maria-Irina Nicolae Richard Nock José Oncina S. Di Palma Jordan Patracone Mathilde Pellerin Michaël Perrot Jean-Philippe Peyrache Françoise Peyrin Massimiliano Pontil José Manuel Iñesta Quereda Ricco Rakotomalala José Carlos Rangel Nalin Rastogi Ievgen Redko Gilles Richard Sébastien Riou David Rizo Saverio Salzo Marcelo Saval-Calvo Christophe Sola Erick Gomez Soto Henri-Maxime Suchier Franck Thollard Tinne Tuytelaars Georges Valétudie Titouan Vayer Rémi Viola Valentina Zantedeschi Djamel A. Zighed Imtiaz Masud Ziko