Pierre Dupont

2008
35	EE	Jérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont: Semi-supervised Classification from Discriminative Random Walks. ECML/PKDD (1) 2008: 162-177
34	EE	Bernard Lambeau, Christophe Damas, Pierre Dupont: State-Merging DFA Induction Algorithms with Mandatory Merge Constraints. ICGI 2008: 139-153
33	EE	Pierre Dupont, Bernard Lambeau, Christophe Damas, Axel van Lamsweerde: The QSM Algorithm and its Application to Software Behavior Model Induction. Applied Artificial Intelligence 22(1&2): 77-115 (2008)
2007
32	EE	Pierre Schaus, Yves Deville, Pierre Dupont: Bound-Consistent Deviation Constraint. CP 2007: 620-634
31	EE	Stéphane Zampelli, Yves Deville, Christine Solnon, Sébastien Sorlin, Pierre Dupont: Filtering for Subgraph Isomorphism. CP 2007: 728-742
30	EE	Jean-Noël Monette, Yves Deville, Pierre Dupont: A Position-Based Propagator for the Open-Shop Problem. CPAIOR 2007: 186-199
29	EE	Pierre Schaus, Yves Deville, Pierre Dupont, Jean-Charles Régin: The Deviation Constraint. CPAIOR 2007: 260-274
28	EE	Jérôme Callut, Pierre Dupont: Learning Partially Observable Markov Models from First Passage Times. ECML 2007: 91-103
2006
27	EE	Jérôme Callut, Pierre Dupont: Sequence Discrimination Using Phase-Type Distributions. ECML 2006: 78-89
2005
26		Jérôme Callut, Pierre Dupont: Séparateurs à Vaste Marge Optimisant la Fonction Fbeta. CAP 2005: 79-92
25	EE	Grégoire Dooms, Yves Deville, Pierre Dupont: CP(Graph): Introducing a Graph Computation Domain in Constraint Programming. CP 2005: 211-225
24	EE	Stéphane Zampelli, Yves Deville, Pierre Dupont: Approximate Constrained Subgraph Matching. CP 2005: 832-836
23	EE	Jérôme Callut, Pierre Dupont: Inducing Hidden Markov Models to Model Long-Term Dependencies. ECML 2005: 513-521
22		Matt Heverly, Pierre Dupont, John K. Triedman: Trajectory Optimization for Dynamic Needle Insertion. ICRA 2005: 1646-1651
21	EE	Christophe Damas, Bernard Lambeau, Pierre Dupont, Axel van Lamsweerde: Generating Annotated Behavior Models from End-User Scenarios. IEEE Trans. Software Eng. 31(12): 1056-1073 (2005)
20	EE	Pierre Dupont, François Denis, Yann Esposito: Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms. Pattern Recognition 38(9): 1349-1371 (2005)
2004
19	EE	Marco Saerens, François Fouss, Luh Yen, Pierre Dupont: The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering. ECML 2004: 371-383
18	EE	Jérôme Callut, Pierre Dupont: A Markovian Approach to the Induction of Regular String Distributions. ICGI 2004: 77-90
17		Grégoire Dooms, Yves Deville, Pierre Dupont: Recherche de chemins contraints dans les réseaux biochimiques. JFPLC 2004
16	EE	Grégoire Dooms, Yves Deville, Pierre Dupont: A Mozart Implementation of CP(BioNet). MOZ 2004: 237-250
15	EE	Christopher Kermorvant, Colin de la Higuera, Pierre Dupont: Improving Probabilistic Automata Learning with Additional Knowledge. SSPR/SPR 2004: 260-268
2002
14	EE	Christopher Kermorvant, Pierre Dupont: Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains. ECML 2002: 185-194
13	EE	Christopher Kermorvant, Pierre Dupont: Stochastic Grammatical Inference with Multinomial Tests. ICGI 2002: 149-160
12	EE	Yann Esposito, Aurélien Lemay, François Denis, Pierre Dupont: Learning Probabilistic Residual Finite State Automata. ICGI 2002: 77-91
11	EE	Thomas Debus, Pierre Dupont, Robert D. Howe: Contact State Estimation using Multiple Model Estimation and Hidden Markov Models. ISER 2002: 517-526
2000
10		Pierre Dupont, Juan-Carlos Amengual: Smoothing Probabilistic Automata: An Error-Correcting Approach. ICGI 2000: 51-64
9		Franck Thollard, Pierre Dupont, Colin de la Higuera: Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality. ICML 2000: 975-982
1998
8	EE	Pierre Dupont, Lin Chase: Using Symbol Clustering to Improve Probabilistic Automaton Inference. ICGI 1998: 232-243
7		Peter R. Kraus, Vijay Kumar, Pierre Dupont: Analysis of Frictional Contact Models for Dynamic Simulation. ICRA 1998: 976-981
1996
6		Tim Melanchuk, Pierre Dupont, Simon Backer: CDPD and Emerging Digital Cellular Systems. COMPCON 1996: 2-8
5		Pierre Dupont: Incremental regular inference. ICGI 1996: 222-237
1994
4		Pierre Dupont: Regular Grammatical Inference from Positive and Negative Samples by Genetic Search: the GIG Method. ICGI 1994: 236-245
3		Pierre Dupont, Laurent Miclet, Enrique Vidal: What Is the Search Space of the Regular Inference? ICGI 1994: 25-37
2		Pierre Dupont, S. P. Yamajako: Jamming and Wedging in Constrained Rigid-Body Dynamics. ICRA 1994: 2349-2354
1		Pierre Dupont: Overview of Current Virtual Reality Applications. IFIP Congress (3) 1994: 159-162

Coauthor Index

1	Juan-Carlos Amengual	[10]
2	Simon Backer	[6]
3	Jérôme Callut	[18] [23] [26] [27] [28] [35]
4	Lin Chase	[8]
5	Christophe Damas	[21] [33] [34]
6	Thomas Debus	[11]
7	François Denis	[12] [20]
8	Yves Deville	[16] [17] [24] [25] [29] [30] [31] [32]
9	Grégoire Dooms	[16] [17] [25]
10	Yann Esposito	[12] [20]
11	François Fouss	[19]
12	Kevin Françoisse	[35]
13	Matt Heverly	[22]
14	Colin de la Higuera	[9] [15]
15	Robert D. Howe	[11]
16	Christopher Kermorvant	[13] [14] [15]
17	Peter R. Kraus	[7]
18	Vijay Kumar	[7]
19	Bernard Lambeau	[21] [33] [34]
20	Axel van Lamsweerde	[21] [33]
21	Aurélien Lemay	[12]
22	Tim Melanchuk	[6]
23	Laurent Miclet	[3]
24	Jean-Noël Monette	[30]
25	Jean-Charles Régin	[29]
26	Marco Saerens	[19] [35]
27	Pierre Schaus	[29] [32]
28	Christine Solnon	[31]
29	Sébastien Sorlin	[31]
30	Franck Thollard	[9]
31	John K. Triedman	[22]
32	Enrique Vidal	[3]
33	S. P. Yamajako	[2]
34	Luh Yen	[19]
35	Stéphane Zampelli	[24] [31]

Colors in the list of coauthors