Estevam R. Hruschka Jr.

	2011
40		Thahir Mohamed, Estevam R. Hruschka Jr., Tom M. Mitchell: Discovering Relations between Noun Categories. EMNLP 2011: 1447-1455
39		Laurence Rodrigues do Amaral, Estevam R. Hruschka Jr.: Transgenic, an operator for evolutionary algorithms. IEEE Congress on Evolutionary Computation 2011: 1308-1314
38		Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken: Bayesian network classifiers: Beyond classification accuracy. Intell. Data Anal. 15(3): 279-298 (2011)
	2010
37		Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell: Toward an Architecture for Never-Ending Language Learning. AAAI 2010
36		Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures. ICMLA 2010: 430-435
35		I-Hsien Yin, Estevam R. Hruschka Jr., Heloisa de Arruda Camargo: Intelligent Classification System Using a Pruned Bayes Fuzzy Rule Set. ICMLA 2010: 635-640
34		Laurence Rodrigues do Amaral, Estevam R. Hruschka Jr.: Gene ontology classification: Building high-level knowledge using genetic algorithms. IEEE Congress on Evolutionary Computation 2010: 1-7
33		Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken: A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2010: 1-8
32		Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., Tom M. Mitchell: Coupled semi-supervised learning for information extraction. WSDM 2010: 101-110
	2009
31		Justin Betteridge, Andrew Carlson, Sue Ann Hong, Estevam R. Hruschka Jr., Edith L. M. Law, Tom M. Mitchell, Sophie H. Wang: Toward Never Ending Language Learning. AAAI Spring Symposium: Learning by Reading and Learning to Read 2009: 1-2
30		I-Hsien Yin, Estevam R. Hruschka Jr., Heloisa de Arruda Camargo: The Impact of Pruning BayesFuzzy Rule Set. ISDA 2009: 456-461
29		Tom M. Mitchell, Justin Betteridge, Andrew Carlson, Estevam R. Hruschka Jr., Richard C. Wang: Populating the Semantic Web by Macro-reading Internet Text. International Semantic Web Conference 2009: 998-1002
28		Gláucia M. Bressan, Vilma A. de Oliveira, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti: Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop. Eng. Appl. of AI 22(4-5): 579-592 (2009)
27		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
26		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)
25		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
24		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
23		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
22		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
21		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
20		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
19		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
18		Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Towards efficient variables ordering for Bayesian networks classifier. Data Knowl. Eng. 63(2): 258-269 (2007)
17		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)
16		Estevam R. Hruschka Jr., Sebastian D. C. de O. Galvão: Fast Conditional Independence-based Bayesian Classifier. JCSE 1(2): 162-176 (2007)
15		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
14		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
13		Edimilson Batista dos Santos, Estevam R. Hruschka Jr.: VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian Classifiers. HIS 2006: 56
12		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
11		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
10		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
9		Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Missing Values Imputation for a Clustering Genetic Algorithm. ICNC (3) 2005: 245-254
8		Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken: Applying Bayesian Networks for Meteorological Data Mining. SGAI Conf. 2005: 122-133
	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	Laurence Rodrigues do Amaral	[34] [39]
2	João Roberto Bertini Jr.	[14]
3	Justin Betteridge	[29] [31] [32] [37]
4	Gláucia M. Bressan	[21] [26] [28]
5	Heloisa de Arruda Camargo	[22] [25] [30] [35]
6	Andrew Carlson	[29] [31] [32] [37]
7	Marcos Evandro Cintra	[22] [25]
8	Thiago F. Covoes	[10] [12]
9	Nelson F. F. Ebecken (Nelson Francisco Favilla Ebecken)	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [12] [17] [18] [27] [33] [36] [38]
10	Lucas Baggio Figueira	[11] [15]
11	Sebastian D. C. de O. Galvão	[16] [20] [23] [24]
12	Antonio J. T. Garcia	[27]
13	Sue Ann Hong	[31]
14	Eduardo R. Hruschka	[2] [3] [4] [5] [6] [7] [8] [9] [10] [12] [17] [27] [33] [38]
15	Bryan Kisiel	[37]
16	Edith Law (Edith L. M. Law)	[31]
17	Tom M. Mitchell	[29] [31] [32] [37] [40]
18	Thahir Mohamed	[40]
19	Maria do Carmo Nicoletti	[11] [14] [15] [19] [21] [22] [23] [25] [26] [28]
20	Vilma A. de Oliveira	[21] [26] [28]
21	Arthur Ramer	[14]
22	Edimilson Batista dos Santos	[13] [19] [20] [23] [33] [36] [38]
23	Burr Settles	[37]
24	Diego P. Vivencio	[23]
25	Richard C. Wang	[29] [32]
26	Sophie H. Wang	[31]
27	I-Hsien Yin	[30] [35]

Colors in the list of coauthors

Last update Thu May 31 18:55:10 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page