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Note: Links lead to the DBLP on the Web. Gustavo E. A. P. A. Batista Gustavo E. A. P. A. Batista, Maria Carolina Monard , Ana L. C. Bazzan : Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets. KELSI 2004 : 20-32 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 Claudia Regina Milaré , Gustavo E. A. P. A. Batista, André Carlos Ponce Leon Ferreira de Carvalho , Maria Carolina Monard : Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks. MICAI 2004 : 833-843 Ronaldo C. Prati , Gustavo E. A. P. A. Batista, Maria Carolina Monard : Learning with Class Skews and Small Disjuncts. SBIA 2004 : 296-306 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) Gustavo E. A. P. A. Batista, Ana L. C. Bazzan , Maria Carolina Monard : Balancing Training Data for Automated Annotation of Keywords: a Case Study. WOB 2003 : 10-18 Gustavo E. A. P. A. Batista, Maria Carolina Monard : An Analysis of Four Missing Data Treatment Methods for Supervised Learning. Applied Artificial Intelligence 17 (5-6): 519-533 (2003) Gustavo E. A. P. A. Batista, Maria Carolina Monard : A Study of K-Nearest Neighbour as an Imputation Method. HIS 2002 : 251-260 Ana Carolina Lorena , Gustavo E. A. P. A. Batista, André Carlos Ponce Leon Ferreira de Carvalho , Maria Carolina Monard : The Influence of Noisy Patterns in the Performance of Learning Methods in the Splice Junction Recognition Problem. SBRN 2002 : 31-37 Ana Carolina Lorena , Gustavo E. A. P. A. Batista, André Carlos Ponce Leon Ferreira de Carvalho , Maria Carolina Monard : Splice Junction Recognition using Machine Learning Techniques. WOB 2002 : 32-39 Gustavo E. A. P. A. Batista, André Carlos Ponce Leon Ferreira de Carvalho , Maria Carolina Monard : Applying One-Sided Selection to Unbalanced Datasets. MICAI 2000 : 315-325 1 [ 6 ] [ 11 ] 2 [ 1 ] [ 2 ] [ 3 ] [ 9 ] 3 [ 2 ] [ 3 ] 4 [ 9 ] 5 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] 6 [ 7 ] [ 8 ] [ 10 ]  ©2005 Association for Computing Machinery |
