Ronaldo C. Prati

Ronaldo Cristiano Prati

	2012
c15		Gustavo Enrique De Almeida Prado Alves Batista, Diego Furtado Silva, Ronaldo Cristiano Prati: An Experimental Design to Evaluate Class Imbalance Treatment Methods. ICMLA (2) 2012: 95-101
c14		Ronaldo C. Prati: Combining feature ranking algorithms through rank aggregation. IJCNN 2012: 1-8
	2011
j5		Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard: A Survey on Graphical Methods for Classification Predictive Performance Evaluation. IEEE Trans. Knowl. Data Eng. 23(11): 1601-1618 (2011)
	2009
c13		Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard: Data mining with imbalanced class distributions: concepts and methods. IICAI 2009: 359-376
	2008
c12		Flavia Cristina Bernardini, Ronaldo C. Prati, Maria Carolina Monard: Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms. HIS 2008: 525-530
c11		Rafael Giusti, Gustavo E. A. P. A. Batista, Ronaldo Cristiano Prati: Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules. HIS 2008: 537-542
c10		Ana Carolina Lorena, Marinez Ferreira de Siqueira, Renato De Giovanni, André Carlos Ponce Leon Ferreira de Carvalho, Ronaldo C. Prati: Potential Distribution Modelling Using Machine Learning. IEA/AIE 2008: 255-264
c9		Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard: A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System. IFIP AI 2008: 131-140
c8		Edson Takashi Matsubara, Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard: Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach. SBIA 2008: 217-226
	2006
j4		Huei Diana Lee, Maria Carolina Monard, Richardson Floriani Voltolini, Ronaldo Cristiano Prati, Feng Chung Wu: A Simple Evaluation Model for Feature Subset Selection Algorithms. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 10(32): 9-17 (2006)
j3		Gustavo E. A. P. A. Batista, Claudia Regina Milaré, Ronaldo Cristiano Prati, Maria Carolina Monard: A Comparison of Methods for Rule Subset Selection Applied to Associative Classification. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 10(32): 29-35 (2006)
j2		Flavia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati: Constructing ensembles of symbolic classifiers. Int. J. Hybrid Intell. Syst. 3(3): 159-167 (2006)
c7		Adriano D. Pila, Rafael Giusti, Ronaldo C. Prati, Maria Carolina Monard: A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties. HIS 2006: 41
c6		Edson Takashi Matsubara, Maria Carolina Monard, Ronaldo C. Prati: On the Class Distribution Labelling Step Sensitivity of CO-TRAINING. IFIP AI 2006: 199-208
	2005
c5		Flavia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati: Constructing Ensembles of Symbolic Classifiers. HIS 2005: 315-322
c4		Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard: Balancing Strategies and Class Overlapping. IDA 2005: 24-35
c3		Ronaldo C. Prati, Peter A. Flach: ROCCER: An Algorithm for Rule Learning Based on ROC Analysis. IJCAI 2005: 823-828
	2004
j1		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. SIGKDD Explorations 6(1): 20-29 (2004)
c2		Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard: Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior. MICAI 2004: 312-321
c1		Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard: Learning with Class Skews and Small Disjuncts. SBIA 2004: 296-306

Coauthor Index

Colors in the list of coauthors

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