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R. Hruschka, Estevam
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1

Bayesian Networks for Inference and Discovery of Semantic R..:

, In: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS),
Batista dos Santos, Edimilson ; Rodrigues, Igor Henrique P. ; Hruschka, Estevam R.. - p. 687-692 , 2019
Link: https://doi.org/10.1109/..
 
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2

Editorial:

Mladenić, Dunja ; Hruschka, Estevam R. ; Grobelnik, Marko
Journal of Web Semantics.  35 (2015)  - p. 63 , 2015
Link: https://doi.org/10.1016/..
 
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3

Feature-weighted k-Nearest Neighbor Classifier:

, In: 2007 IEEE Symposium on Foundations of Computational Intelligence,
Vivencio, Diego P. ; R. Hruschka, Estevam ; do Carmo Nicoletti, M... - p. None , 2007
Link: https://doi.org/10.1109/..
 
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4

Variable Ordering in the Conditional Independence Bayesian ..:

, In: 7th International Conference on Hybrid Intelligent Systems (HIS 2007),
Hruschka, Estevam R. Jr. ; dos Santos, Edimilson B. ; de O. Galvao, Sebastian D. C. - p. None , 2007
Link: https://doi.org/10.1109/..
 
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5

Crowd-Powered Systems to Diminish the Effects of Semantic D..:

, In: Lecture Notes in Computer Science; Hybrid Artificial Intelligent Systems,
Pedro, Saulo D. S. ; Hruschka Jr., Estevam R. - p. 697-709 , 2019
Link: https://doi.org/10.1007/..
 
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6

Lifelong Machine Learning and Computer Reading the Web:

, In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,
Chen, Zhiyuan ; Hruschka Jr., Estevam R. ; Liu, Bing - p. 2117-2118 , 2016
Link: https://dl.acm.org/doi/1..
 
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7

Using unsupervised information to improve semi-supervised t..:

da Silva, Nádia Félix Felipe ; Coletta, Luiz F.S. ; Hruschka, Eduardo R..
Information Sciences.  355-356 (2016)  - p. 348-365 , 2016
Link: https://doi.org/10.1016/..
 
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8

Tweet sentiment analysis with classifier ensembles:

da Silva, Nádia F.F. ; Hruschka, Eduardo R. ; Hruschka Jr., Estevam R.
Decision Support Systems.  66 (2014)  - p. 170-179 , 2014
Link: https://doi.org/10.1016/..
 
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9

Bayesian Classifiers Applied to the Tennessee Eastman Proce..:

dos Santos, Edimilson Batista ; Ebecken, Nelson F. F. ; Hruschka Jr., Estevam R...
Risk Analysis.  34 (2013)  3 - p. 485-497 , 2013
Link: https://doi.org/10.1111/..
 
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10

Autonomously reviewing and validating the knowledge base of..:

, In: Proceedings of the 22nd International Conference on World Wide Web,
Pedro, Saulo D.S. ; Appel, Ana Paula ; Hruschka Jr., Estevam R. - p. 1195-1204 , 2013
Link: https://dl.acm.org/doi/1..
 
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11

Collective intelligence as a source for machine learning se..:

, In: Proceedings of the 4th International Workshop on Web Intelligence & Communities,
Pedro, Saulo D. S. ; Hruschka Jr., Estevam R. - p. 1-9 , 2012
Link: https://dl.acm.org/doi/1..
 
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12

Coupled semi-supervised learning for information extraction:

, In: Proceedings of the third ACM international conference on Web search and data mining,
Carlson, Andrew ; Betteridge, Justin ; Wang, Richard C... - p. 101-110 , 2010
Link: https://dl.acm.org/doi/1..
 
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13

Using Bayesian networks with rule extraction to infer the r..:

Bressan, Gláucia M. ; Oliveira, Vilma A. ; Hruschka Jr., Estevam R..
Engineering Applications of Artificial Intelligence.  22 (2009)  4-5 - p. 579-592 , 2009
Link: https://doi.org/10.1016/..
 
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14

On the influence of imputation in classification: practical..:

Hruschka, Eduardo R. ; Garcia, Antonio J.T. ; Hruschka Jr, Estevam R..
Journal of Experimental & Theoretical Artificial Intelligence.  21 (2009)  1 - p. 43-58 , 2009
Link: https://doi.org/10.1080/..
 
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15

Towards efficient variables ordering for Bayesian networks ..:

Hruschka Jr., Estevam R. ; Ebecken, Nelson F.F.
Data & Knowledge Engineering.  63 (2007)  2 - p. 258-269 , 2007
Link: https://doi.org/10.1016/..
 
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