E-LIB Suche - Ergebnisse für: Hruschka, Estevam R. Jr.

1

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/..

2

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/..

3

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..

4

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/..

5

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/..

6

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/..

7

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..

8

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..

9

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..

10

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/..

11

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/..

12

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/..

13

Bayesian networks for imputation in classification problems:

Hruschka Jr., Estevam R. ; Hruschka, Eduardo R. ; Ebecken, Nelson F. F.
Journal of Intelligent Information Systems. 29 (2007) 3 - p. 231-252 , 2007

Link: https://doi.org/10.1007/..

14

Transferring neural network based knowledge into an exempla..:

do Carmo Nicoletti, Maria ; Figueira, Lucas Baggio ; Hruschka Jr, Estevam R.
Neural Computing and Applications. 16 (2007) 3 - p. 257-265 , 2007

Link: https://doi.org/10.1007/..

15

Towards Efficient Imputation by Nearest-Neighbors: A Cluste..:

, In: Lecture Notes in Computer Science; AI 2004: Advances in Artificial Intelligence,

Hruschka, Eduardo R. ; Hruschka Jr., Estevam R. ; Ebecken, Nelson F. F. - p. 513-525 , 2004

Link: https://doi.org/10.1007/..