Gustavo E. A. P. A. Batista

	2011
25		Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Agenor Mafra-Neto, Edgar Rowton: SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining. KDD 2011: 761-764
24		Gustavo E. A. P. A. Batista, Xiaoyue Wang, Eamonn J. Keogh: A Complexity-Invariant Distance Measure for Time Series. SDM 2011: 699-710
23		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)
22		Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André C. P. L. F. Carvalho: A hybrid approach to learn with imbalanced classes using evolutionary algorithms. Logic Journal of the IGPL 19(2): 293-303 (2011)
	2010
21		Rafael Giusti, Gustavo E. A. P. A. Batista: Discovering Knowledge Rules with Multi-Objective Evolutionary Computing. ICMLA 2010: 119-124
20		Gustavo E. A. P. A. Batista, Bilson J. L. Campana, Eamonn J. Keogh: Classification of Live Moths Combining Texture, Color and Shape Primitives. ICMLA 2010: 903-906
19		Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André C. P. L. F. Carvalho: A Study of the Influence of Rule Measures in Classifiers Induced by Evolutionary Algorithms. IEEE Intelligent Informatics Bulletin 11(1): 8-13 (2010)
	2009
18		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
17		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
16		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
15		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
14		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)
	2005
13		Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard: Balancing Strategies and Class Overlapping. IDA 2005: 24-35
12		Edson Takashi Matsubara, Maria Carolina Monard, Gustavo E. A. P. A. Batista: Multi-view Semi-supervised Learning: An Approach to Obtain Different Views from Text Datasets. LAPTEC 2005: 97-104
	2004
11		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
10		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
9		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
8		Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard: Learning with Class Skews and Small Disjuncts. SBIA 2004: 296-306
7		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)
	2003
6		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
5		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)
	2002
4		Gustavo E. A. P. A. Batista, Maria Carolina Monard: A Study of K-Nearest Neighbour as an Imputation Method. HIS 2002: 251-260
3		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
2		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
	2000
1		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

Coauthor Index

1	Ana L. C. Bazzan (Ana Lúcia C. Bazzan)	[6] [11]
2	Bilson J. L. Campana	[20]
3	André Carlos Ponce Leon Ferreira de Carvalho (André Carlos Ponce de Leon Ferreira de Carvalho, André C. P. L. F. Carvalho)	[1] [2] [3] [9] [19] [22]
4	Rafael Giusti	[17] [21]
5	Eamonn J. Keogh	[20] [24] [25]
6	Ana Carolina Lorena	[2] [3]
7	Agenor Mafra-Neto	[25]
8	Edson Takashi Matsubara	[12] [15]
9	Claudia Regina Milaré	[9] [14] [19] [22]
10	Maria Carolina Monard	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [18] [23]
11	Ronaldo C. Prati (Ronaldo Cristiano Prati)	[7] [8] [10] [13] [14] [15] [16] [17] [18] [23]
12	Edgar Rowton	[25]
13	Xiaoyue Wang	[24]

Colors in the list of coauthors

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