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Ronaldo C. Prati: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Flavia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati
    Constructing Ensembles of Symbolic Classifiers. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:315-322 [Conf]
  2. Adriano D. Pila, Rafael Giusti, Ronaldo C. Prati, Maria Carolina Monard
    A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties. [Citation Graph (0, 0)][DBLP]
    HIS, 2006, pp:41- [Conf]
  3. Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard
    Balancing Strategies and Class Overlapping. [Citation Graph (0, 0)][DBLP]
    IDA, 2005, pp:24-35 [Conf]
  4. Edson Takashi Matsubara, Maria Carolina Monard, Ronaldo C. Prati
    On the Class Distribution Labelling Step Sensitivity of CO-TRAINING. [Citation Graph (0, 0)][DBLP]
    IFIP AI, 2006, pp:199-208 [Conf]
  5. Ronaldo C. Prati, Peter A. Flach
    ROCCER: An Algorithm for Rule Learning Based on ROC Analysis. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:823-828 [Conf]
  6. Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
    Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior. [Citation Graph (0, 0)][DBLP]
    MICAI, 2004, pp:312-321 [Conf]
  7. Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
    Learning with Class Skews and Small Disjuncts. [Citation Graph (0, 0)][DBLP]
    SBIA, 2004, pp:296-306 [Conf]
  8. Flavia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati
    Constructing ensembles of symbolic classifiers. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2006, v:3, n:3, pp:159-167 [Journal]
  9. Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard
    A study of the behavior of several methods for balancing machine learning training data. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2004, v:6, n:1, pp:20-29 [Journal]

  10. Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms. [Citation Graph (, )][DBLP]


  11. Potential Distribution Modelling Using Machine Learning. [Citation Graph (, )][DBLP]


  12. A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System. [Citation Graph (, )][DBLP]


  13. Data mining with imbalanced class distributions: concepts and methods. [Citation Graph (, )][DBLP]


  14. Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach. [Citation Graph (, )][DBLP]


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