Estevam R. Hruschka Jr.

	2009
25		Eduardo R. Hruschka, Antonio J. T. Garcia, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: On the influence of imputation in classification: practical issues. J. Exp. Theor. Artif. Intell. 21(1): 43-58 (2009)
	2008
24		Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Vilma A. de Oliveira, Gláucia M. Bressan: BayesRule: A Markov-Blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers. Int. J. Hybrid Intell. Syst. 5(2): 83-96 (2008)
23		Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti: Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches. J. UCS 14(15): 2456-2470 (2008)
	2007
22		Sebastian D. C. de O. Galvão, Estevam R. Hruschka Jr.: A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms. DaWaK 2007: 355-364
21		Diego P. Vivencio, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Edimilson Batista dos Santos, Sebastian D. C. de O. Galvão: Feature-weighted k-Nearest Neighbor Classifier. FOCI 2007: 481-486
20		Estevam R. Hruschka Jr., Heloisa de Arruda Camargo, Marcos Evandro Cintra, Maria do Carmo Nicoletti: BayesFuzzy: Using a Bayesian Classifier to Induce a Fuzzy Rule Base. FUZZ-IEEE 2007: 1-6
19		Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Vilma A. de Oliveira, Gláucia M. Bressan: Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules. HIS 2007: 192-197
18		Estevam R. Hruschka Jr., Edimilson Batista dos Santos, Sebastian D. C. de O. Galvão: Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach. HIS 2007: 204-209
17		Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti: Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search. IEEE Congress on Evolutionary Computation 2007: 1444-1449
16		Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Towards efficient variables ordering for Bayesian networks classifier. Data Knowl. Eng. 63(2): 258-269 (2007)
15		Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken: Bayesian networks for imputation in classification problems. J. Intell. Inf. Syst. 29(3): 231-252 (2007)
14		Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.: Transferring neural network based knowledge into an exemplar-based learner. Neural Computing and Applications 16(3): 257-265 (2007)
	2006
13		João Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr., Arthur Ramer: Two Variants of the Constructive Neural Network Tiling Algorithm. HIS 2006: 49
12		Edimilson Batista dos Santos, Estevam R. Hruschka Jr.: VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian Classifiers. HIS 2006: 56
11		Eduardo R. Hruschka, Estevam R. Hruschka Jr., Thiago F. Covoes, Nelson F. F. Ebecken: Bayesian Feature Selection for Clustering Problems. JIKM 5(4): 315-327 (2006)
	2005
10		Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.: Initializing an Exemplar Based Learning Process from a RuleNet Network. HIS 2005: 125-130
9		Eduardo R. Hruschka, Thiago F. Covoes, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter. HIS 2005: 405-410
8		Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Missing Values Imputation for a Clustering Genetic Algorithm. ICNC (3) 2005: 245-254
	2004
7		Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach. Australian Conference on Artificial Intelligence 2004: 513-525
6		Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken: Feature Selection by Bayesian Networks. Canadian Conference on AI 2004: 370-379
	2003
5		Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values. Australian Conference on Artificial Intelligence 2003: 723-734
4		Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: A Nearest-Neighbor Method as a Data Preparation Tool for a Clustering Genetic Algorithm. SBBD 2003: 319-327
3		Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken: A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm. Applied Artificial Intelligence 17(5-6): 489-506 (2003)
	2002
2		Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken: A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm. HIS 2002: 453-461
1		Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Missing values prediction with K2. Intell. Data Anal. 6(6): 557-566 (2002)

Coauthor Index

1	João Roberto Bertini Jr.	[13]
2	Gláucia M. Bressan	[19] [24]
3	Heloisa de Arruda Camargo	[20] [23]
4	Marcos Evandro Cintra	[20] [23]
5	Thiago F. Covoes	[9] [11]
6	Nelson F. F. Ebecken	[1] [2] [3] [4] [5] [6] [7] [8] [9] [11] [15] [16] [25]
7	Lucas Baggio Figueira	[10] [14]
8	Sebastian D. C. de O. Galvão	[18] [21] [22]
9	Antonio J. T. Garcia	[25]
10	Eduardo R. Hruschka	[2] [3] [4] [5] [6] [7] [8] [9] [11] [15] [25]
11	Maria do Carmo Nicoletti	[10] [13] [14] [17] [19] [20] [21] [23] [24]
12	Vilma A. de Oliveira	[19] [24]
13	Arthur Ramer	[13]
14	Edimilson Batista dos Santos	[12] [17] [18] [21]
15	Diego P. Vivencio	[21]

Colors in the list of coauthors