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Stéphane Lallich: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Fabrice Muhlenbach, Stéphane Lallich, Djamel A. Zighed
    Outlier Handling in the Neighbourhood-Based Learning of a Continuous Class. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2004, pp:314-321 [Conf]
  2. Benoît Vaillant, Philippe Lenca, Stéphane Lallich
    A Clustering of Interestingness Measures. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2004, pp:290-297 [Conf]
  3. Benoît Vaillant, Stéphane Lallich, Philippe Lenca
    Modeling of the counter-examples and association rules interestingness measures behavior. [Citation Graph (0, 0)][DBLP]
    DMIN, 2006, pp:132-137 [Conf]
  4. Amandine Duffoux, Omar Boussaid, Stéphane Lallich, Fadila Bentayeb
    Fouille dans la structure de documents XML. [Citation Graph (0, 0)][DBLP]
    EGC, 2004, pp:519-524 [Conf]
  5. Stéphane Lallich, Fabrice Muhlenbach, Djamel A. Zighed
    Traitement des exemples atypiques en apprentissage par la régression. [Citation Graph (0, 0)][DBLP]
    EGC, 2003, pp:399-410 [Conf]
  6. Stéphane Lallich, Elie Prudhomme, Olivier Teytaud
    Contrôle du risque multiple pour la sélection de règles d'association significatives. [Citation Graph (0, 0)][DBLP]
    EGC, 2004, pp:305-316 [Conf]
  7. Fabrice Muhlenbach, Stéphane Lallich, Djamel A. Zighed
    Amélioration d'une classification par filtrage des exemples mal étiquetés. [Citation Graph (0, 0)][DBLP]
    EGC, 2002, pp:155-166 [Conf]
  8. Benoît Vaillant, Philippe Lenca, Stéphane Lallich
    Etude expérimentale de mesures de qualité de règles d'associations. [Citation Graph (0, 0)][DBLP]
    EGC, 2004, pp:341-352 [Conf]
  9. Elie Prudhomme, Stéphane Lallich
    Validation statistique des cartes de Kohonen en apprentissage supervisé. [Citation Graph (0, 0)][DBLP]
    EGC, 2005, pp:79-90 [Conf]
  10. Elie Prudhomme, Stéphane Lallich
    Ensemble prédicteur fondé sur les cartes auto-organisatrices adapté aux données volumineuses. [Citation Graph (0, 0)][DBLP]
    EGC, 2007, pp:473-484 [Conf]
  11. Marc Sebban, Richard Nock, Stéphane Lallich
    Boosting Neighborhood-Based Classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:505-512 [Conf]
  12. Stéphane Lallich, Fabrice Muhlenbach, Djamel A. Zighed
    Improving Classification by Removing or Relabeling Mislabeled Instances. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2002, pp:5-15 [Conf]
  13. Stéphane Lallich
    ZigZag, a New Clustering Algorithm to Analyze Categorical Variable Cross-Classification Tables. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:398-405 [Conf]
  14. Stéphane Lallich, Ricco Rakotomalala
    Fast Feature Selection Using Partial Correlation for Multi-vaslued Attributes. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:221-231 [Conf]
  15. Ricco Rakotomalala, Stéphane Lallich, S. Di Palma
    Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N Concept. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:510-517 [Conf]
  16. Djamel A. Zighed, Stéphane Lallich, Fabrice Muhlenbach
    Separability Index in Supervised Learning. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:475-487 [Conf]
  17. Fabrice Muhlenbach, Stéphane Lallich, Djamel A. Zighed
    Identifying and Handling Mislabelled Instances. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2004, v:22, n:1, pp:89-109 [Journal]
  18. Marc Sebban, Richard Nock, Stéphane Lallich
    Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:863-885 [Journal]
  19. Stéphane Lallich, Fabrice Muhlenbach, Jean-Michel Jolion
    A test to control a region growing process within a hierarchical graph. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:10, pp:2201-2211 [Journal]

  20. A Study of the Robustness of Association Rules. [Citation Graph (, )][DBLP]

  21. Optimization of Self-Organizing Maps Ensemble in Prediction. [Citation Graph (, )][DBLP]

  22. Using Local Node Information in Decision Trees: Coupling a Local Labeling Rule with an Off-centered Entropy. [Citation Graph (, )][DBLP]

  23. Pruning for Extracting Class Association Rules Without Candidate Generation. [Citation Graph (, )][DBLP]

  24. Classifying Very-High-Dimensional Data with Random Forests of Oblique Decision Trees. [Citation Graph (, )][DBLP]

  25. Une approche ensembliste inspirée du boosting en classification non supervisée. [Citation Graph (, )][DBLP]

  26. FCP-Growth, une adaptation de FP-Growth pour générer des règles d'association de classe. [Citation Graph (, )][DBLP]

  27. Un nouvel algorithme de forêts aléatoires d'arbres obliques particulièrement adapté à la classification de données en grandes dimensions. [Citation Graph (, )][DBLP]

  28. Classification associative basée sur le Boosting. [Citation Graph (, )][DBLP]

  29. FCP-Growth: Class Itemsets for Class Association Rules. [Citation Graph (, )][DBLP]

  30. A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters. [Citation Graph (, )][DBLP]

  31. Improving Prediction by Weighting Class Association Rules. [Citation Graph (, )][DBLP]

  32. All-Monotony: A Generalization of the All-Confidence Antimonotony. [Citation Graph (, )][DBLP]

  33. Maps Ensemble for Semi-Supervised Learning of Large High Dimensional Datasets. [Citation Graph (, )][DBLP]

  34. A Comparison of Different Off-Centered Entropies to Deal with Class Imbalance for Decision Trees. [Citation Graph (, )][DBLP]

  35. On Optimal Rule Mining: A Framework and a Necessary and Sufficient Condition of Antimonotonicity. [Citation Graph (, )][DBLP]

  36. A Robustness Measure of Association Rules. [Citation Graph (, )][DBLP]

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