Marc Sebban
105
Documents
Publications
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Is My Neural Net Driven by the MDL Principle?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⟩
Conference papers
hal-04231405v1
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Optimal Tensor TransportAAAI, Feb 2022, Vancouver, Canada
Conference papers
hal-03479241v1
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Fast Multiscale Diffusion on GraphsICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapore, Singapore. ⟨10.1109/ICASSP43922.2022.9746802⟩
Conference papers
hal-03212764v2
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optimized laser induced colors and image multiplexing on plasmonic quasi-random metasurfaces using deep learning12th international conference on metamaterials, Jul 2022, torremolinos, Spain
Conference papers
ujm-03833360v1
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Metric Learning in Optimal Transport for Domain AdaptationInternational Joint Conference on Artificial Intelligence, Jan 2021, Kyoto, Japan
Conference papers
ujm-02611800v3
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Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain AdaptationICTAI 2021 - 33rd IEEE International Conference on Tools with Artificial Intelligence, Nov 2021, Virtual conference, France. pp.1-8, ⟨10.1109/ICTAI52525.2021.00125⟩
Conference papers
hal-03353622v1
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Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to deal with Imbalanced DataIJCAI 2020, the 29th International Joint Conference on Artificial Intelligence, Jul 2020, Yokohama, Japan
Conference papers
hal-02611586v1
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Landmark-based Ensemble Learning with Random Fourier Features and Gradient BoostingEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent, Belgium
Conference papers
hal-02900044v1
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MLFP: Un algorithme d'apprentissage de métrique pour la classification de données déséquilibréesConférence sur l'Apprentissage automatique (CAp 2020), Jun 2020, Vannes, France
Conference papers
hal-02868502v1
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Graph Diffusion Wasserstein DistancesECML PKDD 2020 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent, Belgium. pp.1-16
Conference papers
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A Swiss Army Knife for Minimax Optimal TransportThirty-seventh International Conference on Machine Learning, Jul 2020, Vienne, Austria
Conference papers
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Une version corrigée de l’algorithme des plus proches voisins pour l’optimisation de la F-mesure dans un contexte déséquilibréConférence sur l'Apprentissage automatique (CAp 2019), Jul 2019, Toulouse, France
Conference papers
hal-02868516v1
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From Cost-Sensitive Classification to Tight F-measure BoundsAISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Okinawa, Japan. pp.1245-1253
Conference papers
hal-02049763v1
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An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced DataInternational Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, Oregon, United States
Conference papers
hal-02318868v1
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Transport Optimal sous Contrainte de Régularité pour l'Adaptation de Domaines entre Graphes avec AttributsGRETSI 2019 - XXVIIème Colloque francophonede traitement du signal et des images, Aug 2019, Lille, France. pp.1-4
Conference papers
hal-02154883v1
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Differentially Private Optimal Transport: Application to Domain AdaptationIJCAI 2019, Aug 2019, Macao, China
Conference papers
hal-02124877v1
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Revisite des "random Fourier features" basée sur l'apprentissage PAC-Bayésien via des points d'intérêtsCAp 2019 - Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France
Conference papers
hal-02148600v1
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Metric Learning from Imbalanced DataInternational Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, Oregon, United States
Conference papers
hal-02276288v1
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Un algorithme de pondération de la F-Mesure par pondération des erreurs de classfication.Conférence pour l'Apprentissage Automatique, Jun 2018, Saint-Etienne du Rouvray, France
Conference papers
hal-01803183v1
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Online Non-Linear Gradient Boosting in Multi-Latent Spaces17th International Symposium on Intelligent Data Analysis (IDA'18), Oct 2018, s-Hertogenbosch, Netherlands
Conference papers
hal-01889994v1
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Tree-based Cost-Sensitive Methods for Fraud Detection in Imbalanced DataIDA 2018 - 17th International Symposium on Intelligent Data Analysis, Oct 2018, ‘s-Hertogenbosch, Netherlands. pp.213-224, ⟨10.1007/978-3-030-01768-2_18⟩
Conference papers
hal-01895967v1
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Apprentissage de métrique pour la classification supervisée de données déséquilibréesConférence sur l'Apprentissage Automatique, Jun 2018, Rouen, France
Conference papers
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Fast and Provably Effective Multi-view Classification with Landmark-based SVMECML PKDD 2018, Sep 2018, Dublin, Ireland
Conference papers
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Apprentissage de sphères maximales d’exclusion avec garanties théoriquesConférence sur l'Apprentissage Automatique, Jun 2017, Grenoble, France
Conference papers
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Efficient top rank optimization with gradient boosting for supervised anomaly detectionECML-PKDD 2017, Sep 2017, Skopje, Macedonia
Conference papers
hal-01613561v1
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Theoretical Analysis of Domain Adaptation with Optimal TransportECML PKDD 2017, Sep 2017, Skopje, Macedonia
Conference papers
hal-01613564v1
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Efficient top rank optimization with gradient boosting for supervised anomaly detectionEuropean Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'17), Sep 2017, Skopje, Macedonia
Conference papers
hal-01611346v2
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beta-risk: a New Surrogate Risk for Learning from Weakly Labeled DataNIPS 2016, Dec 2016, Barcelona, Spain
Conference papers
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Metric Learning as Convex Combinations of Local Models with Generalization GuaranteesCVPR2016, Jun 2016, Las Vegas, United States
Conference papers
hal-01323567v1
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Apprentissage de Combinaisons Convexes de Métriques Locales avec Garanties de GénéralisationCAp2016, Jul 2016, Marseille, France
Conference papers
hal-01359282v1
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Algorithmic Robustness for Semi-Supervised (ε, γ, τ )-Good Metric LearningInternational Conference on Neural Information Processing ICONIP, Nov 2015, Istanbul, Turkey. pp.10
Conference papers
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Supervised Spectral Subspace Clustering for Visual Dictionary Creation in the Context of Image ClassificationACPR 2015: 3rd IAPR Asian Conference on Pattern Recognition, Nov 2015, Kuala Lumpur, Malaysia
Conference papers
hal-01224466v1
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Landmarks-based Kernelized Subspace Alignment for Unsupervised Domain AdaptationComputer Vision and Pattern Recognition (CVPR'2015), Jun 2015, Boston, United States
Conference papers
hal-01124975v1
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Joint Semi-supervised Similarity Learning for Linear ClassificationECML-PKDD 2015, Sep 2015, Porto, Portugal. ⟨10.1007/978-3-319-23528-837⟩
Conference papers
hal-01204642v1
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Computing Image Descriptors from Annotations Acquired from External ToolsROBOT 2015: Second Iberian Robotics Conference, Nov 2015, Lisbon, Portugal
Conference papers
hal-01224441v1
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Modélisation de Distances Couleur Uniformes par Apprentissage de Métriques LocalesCAp'2014 : Conférence d'Apprentissage Automatique, Jul 2014, Saint-Étienne, France
Conference papers
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Modeling Perceptual Color Differences by Local Metric LearningEuropean Conference on Computer Vision, Sep 2014, Zurich, Switzerland
Conference papers
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Unsupervised Visual Domain Adaptation Using Subspace AlignmentICCV 2013, Dec 2013, Sydney, Australia. pp.2960-2967
Conference papers
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Vote de majorité a priori contraint pour la classification binaire : spécification au cas des plus proches voisinsConférence sur l'Apprentissage Automatique (CAp), Jul 2013, Lille, France
Conference papers
hal-00850241v1
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Boosting for Unsupervised Domain AdaptationECML PKDD 2013, Sep 2013, Prague, Czech Republic. pp.433-448
Conference papers
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Handwritten Digit Recognition using Edit Distance-Based KNNTeaching Machine Learning Workshop, Jun 2012, Edinburgh, Scotland, United Kingdom
Conference papers
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Speeding Up Syntactic Learning Using Contextual InformationInternational Conference on Grammatical Inference, Sep 2012, United States. pp.49-53
Conference papers
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Un Cadre Formel de Boosting pour l'Adaptation de DomaineConférence Francophone sur l'Apprentissage Automatique - CAp 2012, Laurent Bougrain, May 2012, Nancy, France. 16 p
Conference papers
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Discriminative Feature Fusion for Image ClassificationComputer Vision and Pattern Recognition, Jun 2012, Rhode Island, United States. pp.3434-3441
Conference papers
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Similarity Learning for Provably Accurate Sparse Linear ClassificationInternational Conference on Machine Learning, Jun 2012, United Kingdom
Conference papers
hal-00708401v1
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Apprentissage de bonnes similarités pour la classification linéaire parcimonieuseConférence Francophone sur l'Apprentissage Automatique - CAp 2012, May 2012, Nancy, France. 16 p
Conference papers
hal-00690242v1
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An Experimental Study on Learning with Good Edit Similarity FunctionsICTAI 2011, Nov 2011, United States
Conference papers
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Learning Good Edit Similarities with Generalization GuaranteesEuropean Conference on Machine Learning, Sep 2011, Athens, Greece. pp.188-203
Conference papers
hal-00608631v1
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Domain Adaptation with Good Edit Similarities: a Sparse Way to deal with Scaling and Rotation Problems in Image ClassificationICTAI 2011, Nov 2011, United States
Conference papers
hal-00618757v1
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Using the H-divergence to Prune Probabilistic AutomataICTAI 2011, Nov 2011, Boca Raton, United States
Conference papers
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Accurate Visual Word Construction using a Supervised Approach25th International Conference of Image and Vision Computing New Zealand, Nov 2010, New Zealand
Conference papers
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Weighted Symbols-based Edit Distance for String-Structured Image ClassificationECML PKDD 2010 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases., Sep 2010, Barcelona, Spain
Conference papers
hal-00499468v1
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Apprentissage de noyaux d'édition de séquencesConférence d'Apprentissage : CAP 2009, May 2009, Hammamet, Tunisia. pp.à venir
Conference papers
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Learning Constrained Edit State Machines21st IEEE International Conference on Tools with Artificial Intelligence, Nov 2009, United States. pp.734-741
Conference papers
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Discovering Patterns in Flows: a Privacy Preserving Approach with the ACSM PrototypeECML PKDD, Sep 2009, Bled, Slovenia. pp.734--737
Conference papers
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SEDiL: Software for Edit Distance LearningEuropean Conference on Machine Learning (ECML 2008), Sep 2008, Belgium. pp.672-677
Conference papers
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Melody Recognition with Learned Edit DistancesStructural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2008 and SPR 2008, Dec 2008, Orlando, United States. pp.86-96
Conference papers
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Learning String Edit Similarities using Constrained Finite State MachinesCAp'08, May 2008, Porquerolles, France. pp.37-52
Conference papers
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Correct your Text with GoogleIEEE International Conference on Web Intelligence, Nov 2007, Fremont, United States. pp.xx-xx
Conference papers
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Learning Metrics between Tree Structured Data: Application to Image Recognition18th European Conference on Machine Learning (ECML), Sep 2007, Warsaw, Poland. pp.54-66
Conference papers
hal-00165954v1
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A Discriminative Model of Stochastic Edit Distance in the form of a Conditional Transducer8th International Colloquium on Grammatical Inference, Sep 2006, Tokyo, Japan. pp.240-252
Conference papers
ujm-00109698v1
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Using Learned Conditional Distributions as Edit DistanceStructural, 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
Conference papers
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Sequence Mining Without Sequences: a New Way for Privacy Preserving2006, pp.347-354
Conference papers
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Learning Conditional Transducers for Estimating the Distribution of String Edit CostsGrammatical Inference: workshop on open problems and new directions, May 2006, Saint-Etienne, France
Conference papers
ujm-00352796v1
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Learning Stochastic Tree Edit Distance17th European Conference on Machine Learning, Sep 2006, Berlin, Germany. pp.42-53
Conference papers
ujm-00109696v1
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Boosting d'un pool d'apprenants faiblesCAp 2006, May 2006, Trégastel, France. pp.283-298
Conference papers
hal-00114532v1
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Constrained Sequence Mining based on Probabilistic Finite State AutomataConférence d'Apprentissage Automatique, 2005, France. pp.15-30
Conference papers
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Constrained Sequence Mining based on Probabilistic Finite State AutomataWorkshop on Mining Graphs, Trees and Structured Data at ECML/PKDD, Oct 2005, Portugal
Conference papers
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Correction of Uniformly Noisy Distributions to Improve Probabilistic Grammatical Inference Algorithms18th International Florida Artificial Intelligence Research Society conference, May 2005, United States. pp.493-498
Conference papers
ujm-00378062v1
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Advances in Domain Adaptation TheoryElsevier; ISTE, 2019, 9781785482366
Books
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Metric LearningMorgan & 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⟩
Books
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Proceddings of 16ème Conférence d’Apprentissage CAp’20142014
Books
hal-01357561v1
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Unsupervised Domain Adaptation Based on Subspace AlignmentDomain Adaptation in Computer Vision Applications. Advances in Computer Vision and Pattern Recognition, 2017
Book sections
hal-01613051v1
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Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting2019
Preprints, Working Papers, ...
hal-02148618v1
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A Survey on Metric Learning for Feature Vectors and Structured Data[Research Report] Laboratoire Hubert Curien UMR 5516. 2013
Reports
hal-01666935v1
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