Amaury Habrard

2008
19	EE	Laurent Boyer, Yann Esposito, Amaury Habrard, José Oncina, Marc Sebban: SEDiL: Software for Edit Distance Learning. ECML/PKDD (2) 2008: 672-677
18	EE	Alexander Clark, Rémi Eyraud, Amaury Habrard: A Polynomial Algorithm for the Inference of Context Free Languages. ICGI 2008: 29-42
17	EE	François Denis, Édouard Gilbert, Amaury Habrard, Faissal Ouardi, Marc Tommasi: Relevant Representations for the Inference of Rational Stochastic Tree Languages. ICGI 2008: 57-70
16	EE	Amaury Habrard, José Manuel Iñesta Quereda, David Rizo, Marc Sebban: Melody Recognition with Learned Edit Distances. SSPR/SPR 2008: 86-96
15	EE	François Denis, Amaury Habrard, Rémi Gilleron, Marc Tommasi, Édouard Gilbert: On Probability Distributions for Trees: Representations, Inference and Learning CoRR abs/0807.2983: (2008)
14	EE	Marc Bernard, Laurent Boyer, Amaury Habrard, Marc Sebban: Learning probabilistic models of tree edit distance. Pattern Recognition 41(8): 2611-2629 (2008)
2007
13	EE	François Denis, Amaury Habrard: Learning Rational Stochastic Tree Languages. ALT 2007: 242-256
12	EE	Laurent Boyer, Amaury Habrard, Marc Sebban: Learning Metrics Between Tree Structured Data: Application to Image Recognition. ECML 2007: 54-66
2006
11	EE	François Denis, Yann Esposito, Amaury Habrard: Learning Rational Stochastic Languages. COLT 2006: 274-288
10	EE	Marc Bernard, Amaury Habrard, Marc Sebban: Learning Stochastic Tree Edit Distance. ECML 2006: 42-53
9	EE	Amaury Habrard, François Denis, Yann Esposito: Using Pseudo-stochastic Rational Languages in Probabilistic Grammatical Inference. ICGI 2006: 112-124
8	EE	Amaury Habrard, José Oncina: Learning Multiplicity Tree Automata. ICGI 2006: 268-280
7	EE	François Denis, Yann Esposito, Amaury Habrard: Learning rational stochastic languages CoRR abs/cs/0602062: (2006)
6	EE	Amaury Habrard, François Denis, Yann Esposito: Using Pseudo-Stochastic Rational Languages in Probabilistic Grammatical Inference CoRR abs/cs/0607085: (2006)
2005
5		Amaury Habrard, Marc Bernard, Marc Sebban: Correction of Uniformly Noisy Distributions to Improve Probabilistic Grammatical Inference Algorithms. FLAIRS Conference 2005: 493-498
4	EE	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)
2003
3	EE	Amaury Habrard, Marc Bernard, François Jacquenet: Multi-relational Data Mining in Medical Databases. AIME 2003: 365-374
2	EE	Amaury Habrard, Marc Bernard, Marc Sebban: Improvement of the State Merging Rule on Noisy Data in Probabilistic Grammatical Inference. ECML 2003: 169-180
2002
1	EE	Amaury Habrard, Marc Bernard, François Jacquenet: Generalized Stochastic Tree Automata for Multi-relational Data Mining. ICGI 2002: 120-133

Coauthor Index

1	Marc Bernard	[1] [2] [3] [4] [5] [10] [14]
2	Laurent Boyer	[12] [14] [19]
3	Alexander Clark	[18]
4	François Denis	[6] [7] [9] [11] [13] [15] [17]
5	Yann Esposito	[6] [7] [9] [11] [19]
6	Rémi Eyraud	[18]
7	Édouard Gilbert	[15] [17]
8	Rémi Gilleron	[15]
9	François Jacquenet	[1] [3]
10	José Oncina	[8] [19]
11	Faissal Ouardi	[17]
12	José Manuel Iñesta Quereda	[16]
13	David Rizo	[16]
14	Marc Sebban	[2] [4] [5] [10] [12] [14] [16] [19]
15	Marc Tommasi	[15] [17]

Colors in the list of coauthors