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 | 2012 | |
|---|---|---|
| j6 |      | Leonor Becerra-Bonache, Élisa Fromont, Amaury Habrard, Michaël Perrot, Marc Sebban: Speeding Up Syntactic Learning Using Contextual Information. Journal of Machine Learning Research - Proceedings Track 21: 49-53 (2012) |
| j5 | | Emilie Morvant, Amaury Habrard, Stéphane Ayache: Parsimonious unsupervised and semi-supervised domain adaptation with good similarity functions. Knowl. Inf. Syst. 33(2): 309-349 (2012) |
| j4 | | Aurélien Bellet, Amaury Habrard, Marc Sebban: Good edit similarity learning by loss minimization. Machine Learning 89(1-2): 5-35 (2012) |
| c22 | | Aurélien Bellet, Amaury Habrard, Marc Sebban: Similarity Learning for Provably Accurate Sparse Linear Classification. ICML 2012 |
| i6 | | Emilie Morvant, Amaury Habrard, Stéphane Ayache: PAC-Bayesian Majority Vote for Late Classifier Fusion. CoRR abs/1207.1019 (2012) |
| i5 | | Aurélien Bellet, Amaury Habrard: Robustness and Generalization for Metric Learning. CoRR abs/1209.1086 (2012) |
| i4 | | Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant: PAC-Bayesian Learning and Domain Adaptation. CoRR abs/1212.2340 (2012) |
| 2011 | ||
| c21 | | Emilie Morvant, Amaury Habrard, Stéphane Ayache: Sparse Domain Adaptation in Projection Spaces Based on Good Similarity Functions. ICDM 2011: 457-466 |
| c20 | | Aurélien Bellet, Marc Sebban, Amaury Habrard: An Experimental Study on Learning with Good Edit Similarity Functions. ICTAI 2011: 126-133 |
| c19 | | Amaury Habrard, Jean-Philippe Peyrache, Marc Sebban: Domain Adaptation with Good Edit Similarities: A Sparse Way to Deal with Scaling and Rotation Problems in Image Classification. ICTAI 2011: 181-188 |
| c18 | | Aurélien Bellet, Amaury Habrard, Marc Sebban: Learning Good Edit Similarities with Generalization Guarantees. ECML/PKDD (1) 2011: 188-203 |
| c17 | | Emilie Morvant, Amaury Habrard, Stéphane Ayache: On the Usefulness of Similarity Based Projection Spaces for Transfer Learning. SIMBAD 2011: 1-16 |
| 2010 | ||
| j3 | | Alexander Clark, Rémi Eyraud, Amaury Habrard: Using Contextual Representations to Efficiently Learn Context-Free Languages. Journal of Machine Learning Research 11: 2707-2744 (2010) |
| c16 | | Raphaël Bailly, Amaury Habrard, François Denis: A Spectral Approach for Probabilistic Grammatical Inference on Trees. ALT 2010: 74-88 |
| 2009 | ||
| c15 | | Laurent Boyer, Olivier Gandrillon, Amaury Habrard, Mathilde Pellerin, Marc Sebban: Learning Constrained Edit State Machines. ICTAI 2009: 734-741 |
| 2008 | ||
| j2 | | Marc Bernard, Laurent Boyer, Amaury Habrard, Marc Sebban: Learning probabilistic models of tree edit distance. Pattern Recognition 41(8): 2611-2629 (2008) |
| c14 | | Alexander Clark, Rémi Eyraud, Amaury Habrard: A Polynomial Algorithm for the Inference of Context Free Languages. ICGI 2008: 29-42 |
| c13 | | François Denis, Édouard Gilbert, Amaury Habrard, Faissal Ouardi, Marc Tommasi: Relevant Representations for the Inference of Rational Stochastic Tree Languages. ICGI 2008: 57-70 |
| c12 | | Laurent Boyer, Yann Esposito, Amaury Habrard, José Oncina, Marc Sebban: SEDiL: Software for Edit Distance Learning. ECML/PKDD (2) 2008: 672-677 |
| c11 | | Amaury Habrard, José Manuel Iñesta Quereda, David Rizo, Marc Sebban: Melody Recognition with Learned Edit Distances. SSPR/SPR 2008: 86-96 |
| i3 | | François Denis, Amaury Habrard, Rémi Gilleron, Marc Tommasi, Édouard Gilbert: On Probability Distributions for Trees: Representations, Inference and Learning. CoRR abs/0807.2983 (2008) |
| 2007 | ||
| c10 | | |
| c9 | | Laurent Boyer, Amaury Habrard, Marc Sebban: Learning Metrics Between Tree Structured Data: Application to Image Recognition. ECML 2007: 54-66 |
| 2006 | ||
| c8 | | François Denis, Yann Esposito, Amaury Habrard: Learning Rational Stochastic Languages. COLT 2006: 274-288 |
| c7 | | |
| c6 | | Amaury Habrard, François Denis, Yann Esposito: Using Pseudo-stochastic Rational Languages in Probabilistic Grammatical Inference. ICGI 2006: 112-124 |
| c5 | | |
| i2 | | François Denis, Yann Esposito, Amaury Habrard: Learning rational stochastic languages. CoRR abs/cs/0602062 (2006) |
| i1 | | Amaury Habrard, François Denis, Yann Esposito: Using Pseudo-Stochastic Rational Languages in Probabilistic Grammatical Inference. CoRR abs/cs/0607085 (2006) |
| 2005 | ||
| j1 | | Amaury Habrard, Marc Bernard, Marc Sebban: Detecting Irrelevant Subtrees to Improve Probabilistic Learning from Tree-structured Data. Fundam. Inform. 66(1-2): 103-130 (2005) |
| c4 | | Amaury Habrard, Marc Bernard, Marc Sebban: Correction of Uniformly Noisy Distributions to Improve Probabilistic Grammatical Inference Algorithms. FLAIRS Conference 2005: 493-498 |
| 2003 | ||
| c3 | | Amaury Habrard, Marc Bernard, François Jacquenet: Multi-relational Data Mining in Medical Databases. AIME 2003: 365-374 |
| c2 | | Amaury Habrard, Marc Bernard, Marc Sebban: Improvement of the State Merging Rule on Noisy Data in Probabilistic Grammatical Inference. ECML 2003: 169-180 |
| 2002 | ||
| c1 | | Amaury Habrard, Marc Bernard, François Jacquenet: Generalized Stochastic Tree Automata for Multi-relational Data Mining. ICGI 2002: 120-133 |
Colors in the list of coauthors
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