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Pierre Dupont: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jérôme Callut, Pierre Dupont
    Séparateurs à Vaste Marge Optimisant la Fonction Fbeta. [Citation Graph (0, 0)][DBLP]
    CAP, 2005, pp:79-92 [Conf]
  2. Tim Melanchuk, Pierre Dupont, Simon Backer
    CDPD and Emerging Digital Cellular Systems. [Citation Graph (0, 0)][DBLP]
    COMPCON, 1996, pp:2-8 [Conf]
  3. Grégoire Dooms, Yves Deville, Pierre E. Dupont
    CP(Graph): Introducing a Graph Computation Domain in Constraint Programming. [Citation Graph (0, 0)][DBLP]
    CP, 2005, pp:211-225 [Conf]
  4. Stéphane Zampelli, Yves Deville, Pierre E. Dupont
    Approximate Constrained Subgraph Matching. [Citation Graph (0, 0)][DBLP]
    CP, 2005, pp:832-836 [Conf]
  5. Jérôme Callut, Pierre Dupont
    Inducing Hidden Markov Models to Model Long-Term Dependencies. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:513-521 [Conf]
  6. Jérôme Callut, Pierre Dupont
    Sequence Discrimination Using Phase-Type Distributions. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:78-89 [Conf]
  7. Christopher Kermorvant, Pierre Dupont
    Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:185-194 [Conf]
  8. Marco Saerens, Francois Fouss, Luh Yen, Pierre Dupont
    The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:371-383 [Conf]
  9. Pierre Dupont
    Regular Grammatical Inference from Positive and Negative Samples by Genetic Search: the GIG Method. [Citation Graph (0, 0)][DBLP]
    ICGI, 1994, pp:236-245 [Conf]
  10. Pierre Dupont, Juan-Carlos Amengual
    Smoothing Probabilistic Automata: An Error-Correcting Approach. [Citation Graph (0, 0)][DBLP]
    ICGI, 2000, pp:51-64 [Conf]
  11. Pierre Dupont
    Incremental regular inference. [Citation Graph (0, 0)][DBLP]
    ICGI, 1996, pp:222-237 [Conf]
  12. Jérôme Callut, Pierre Dupont
    A Markovian Approach to the Induction of Regular String Distributions. [Citation Graph (0, 0)][DBLP]
    ICGI, 2004, pp:77-90 [Conf]
  13. Christopher Kermorvant, Pierre Dupont
    Stochastic Grammatical Inference with Multinomial Tests. [Citation Graph (0, 0)][DBLP]
    ICGI, 2002, pp:149-160 [Conf]
  14. Pierre Dupont, Lin Chase
    Using Symbol Clustering to Improve Probabilistic Automaton Inference. [Citation Graph (0, 0)][DBLP]
    ICGI, 1998, pp:232-243 [Conf]
  15. Pierre Dupont, Laurent Miclet, Enrique Vidal
    What Is the Search Space of the Regular Inference? [Citation Graph (0, 0)][DBLP]
    ICGI, 1994, pp:25-37 [Conf]
  16. Yann Esposito, Aurélien Lemay, François Denis, Pierre Dupont
    Learning Probabilistic Residual Finite State Automata. [Citation Graph (0, 0)][DBLP]
    ICGI, 2002, pp:77-91 [Conf]
  17. Franck Thollard, Pierre Dupont, Colin de la Higuera
    Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:975-982 [Conf]
  18. Pierre Dupont, S. P. Yamajako
    Jamming and Wedging in Constrained Rigid-Body Dynamics. [Citation Graph (0, 0)][DBLP]
    ICRA, 1994, pp:2349-2354 [Conf]
  19. Peter R. Kraus, Vijay Kumar, Pierre Dupont
    Analysis of Frictional Contact Models for Dynamic Simulation. [Citation Graph (0, 0)][DBLP]
    ICRA, 1998, pp:976-981 [Conf]
  20. Pierre Dupont
    Overview of Current Virtual Reality Applications. [Citation Graph (0, 0)][DBLP]
    IFIP Congress (3), 1994, pp:159-162 [Conf]
  21. Grégoire Dooms, Yves Deville, Pierre E. Dupont
    Recherche de chemins contraints dans les réseaux biochimiques. [Citation Graph (0, 0)][DBLP]
    JFPLC, 2004, pp:- [Conf]
  22. Grégoire Dooms, Yves Deville, Pierre E. Dupont
    A Mozart Implementation of CP(BioNet). [Citation Graph (0, 0)][DBLP]
    MOZ, 2004, pp:237-250 [Conf]
  23. Christopher Kermorvant, Colin de la Higuera, Pierre Dupont
    Improving Probabilistic Automata Learning with Additional Knowledge. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:260-268 [Conf]
  24. Pierre Dupont, François Denis, Yann Esposito
    Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:9, pp:1349-1371 [Journal]
  25. Christophe Damas, Bernard Lambeau, Pierre Dupont, Axel van Lamsweerde
    Generating Annotated Behavior Models from End-User Scenarios. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Software Eng., 2005, v:31, n:12, pp:1056-1073 [Journal]
  26. Pierre Schaus, Yves Deville, Pierre Dupont
    Bound-Consistent Deviation Constraint. [Citation Graph (0, 0)][DBLP]
    CP, 2007, pp:620-634 [Conf]
  27. Stéphane Zampelli, Yves Deville, Christine Solnon, Sébastien Sorlin, Pierre Dupont
    Filtering for Subgraph Isomorphism. [Citation Graph (0, 0)][DBLP]
    CP, 2007, pp:728-742 [Conf]
  28. Jean-Noël Monette, Yves Deville, Pierre E. Dupont
    A Position-Based Propagator for the Open-Shop Problem. [Citation Graph (0, 0)][DBLP]
    CPAIOR, 2007, pp:186-199 [Conf]
  29. Pierre Schaus, Yves Deville, Pierre E. Dupont, Jean-Charles Régin
    The Deviation Constraint. [Citation Graph (0, 0)][DBLP]
    CPAIOR, 2007, pp:260-274 [Conf]
  30. Jérôme Callut, Pierre Dupont
    Learning Partially Observable Markov Models from First Passage Times. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:91-103 [Conf]
  31. Matt Heverly, Pierre Dupont, John K. Triedman
    Trajectory Optimization for Dynamic Needle Insertion. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:1646-1651 [Conf]

  32. State-Merging DFA Induction Algorithms with Mandatory Merge Constraints. [Citation Graph (, )][DBLP]


  33. Partially supervised feature selection with regularized linear models. [Citation Graph (, )][DBLP]


  34. Semi-supervised Classification from Discriminative Random Walks. [Citation Graph (, )][DBLP]


  35. Feature Selection by Transfer Learning with Linear Regularized Models. [Citation Graph (, )][DBLP]


  36. Expectation Propagation for Bayesian Multi-task Feature Selection. [Citation Graph (, )][DBLP]


  37. The QSM Algorithm and its Application to Software Behavior Model Induction. [Citation Graph (, )][DBLP]


  38. Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. [Citation Graph (, )][DBLP]


  39. Pathway discovery in metabolic networks by subgraph extraction. [Citation Graph (, )][DBLP]


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