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Roberto Esposito: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Roberto Esposito, Lorenza Saitta
    Boosting as a Monte Carlo Algorithm. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2001, pp:11-19 [Conf]
  2. Roberto Esposito, Lorenza Saitta
    Explaining Bagging with Monte Carlo Theory. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2003, pp:189-200 [Conf]
  3. Arianna Gallo, Roberto Esposito, Rosa Meo, Marco Botta
    Optimization of Association Rules Extraction Through Exploitation of Context Dependent Constraints. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2005, pp:258-269 [Conf]
  4. Rosa Meo, Marco Botta, Roberto Esposito, Arianna Gallo
    A Novel Incremental Approach to Association Rules Mining in Inductive Databases. [Citation Graph (0, 0)][DBLP]
    Constraint-Based Mining and Inductive Databases, 2004, pp:267-294 [Conf]
  5. Rosa Meo, Pier Luca Lanzi, Maristella Matera, Danilo Careggio, Roberto Esposito
    Employing Inductive Databases in Concrete Applications. [Citation Graph (0, 0)][DBLP]
    Constraint-Based Mining and Inductive Databases, 2004, pp:295-327 [Conf]
  6. Roberto Esposito
    Empirical Evaluation of the Effects of Concept Complexity on Generalization Error. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:1009-1010 [Conf]
  7. Rosa Meo, Marco Botta, Roberto Esposito
    Query Rewriting in Itemset Mining. [Citation Graph (0, 0)][DBLP]
    FQAS, 2004, pp:111-124 [Conf]
  8. Roberto Esposito, Lorenza Saitta
    A Monte Carlo analysis of ensemble classification. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  9. Roberto Esposito, Lorenza Saitta
    Experimental comparison between bagging and Monte Carlo ensemble classification. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:209-216 [Conf]
  10. Roberto Esposito, Lorenza Saitta
    Monte Carlo Theory as an Explanation of Bagging and Boosting. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:499-504 [Conf]
  11. Roberto Esposito, Lorenza Saitta
    Is a Greedy Covering Strategy an Extreme Boosting? [Citation Graph (0, 0)][DBLP]
    ISMIS, 2002, pp:94-102 [Conf]
  12. Daniele P. Radicioni, Roberto Esposito
    A Conditional Model for Tonal Analysis. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2006, pp:652-661 [Conf]
  13. Roberto Esposito, Rosa Meo, Marco Botta
    Answering constraint-based mining queries on itemsets using previous materialized results. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2006, v:26, n:1, pp:95-111 [Journal]
  14. Roberto Esposito, Daniele P. Radicioni
    Trip Around the HMPerceptron Algorithm: Empirical Findings and Theoretical Tenets. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2007, pp:242-253 [Conf]
  15. Daniele P. Radicioni, Roberto Esposito
    Tonal Harmony Analysis: A Supervised Sequential Learning Approach. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2007, pp:638-649 [Conf]
  16. Roberto Esposito, Daniele P. Radicioni
    CarpeDiem: an algorithm for the fast evaluation of SSL classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:257-264 [Conf]
  17. Rosa Meo, Pier Luca Lanzi, Maristella Matera, Roberto Esposito
    Integrating Web Conceptual Modeling and Web Usage Mining. [Citation Graph (0, 0)][DBLP]
    WebKDD, 2004, pp:135-148 [Conf]

  18. Empirical Assessment of Two Strategies for Optimizing the Viterbi Algorithm. [Citation Graph (, )][DBLP]


  19. Incremental Extraction of Association Rules in Applicative Domains. [Citation Graph (, )][DBLP]


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