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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]