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Eduardo R. Hruschka
- > Home > Persons > Eduardo R. Hruschka
Publications
- 2016
- [j35]Nádia Félix Felipe da Silva, Luiz F. S. Coletta, Eduardo R. Hruschka, Estevam R. Hruschka Jr.:
Using unsupervised information to improve semi-supervised tweet sentiment classification. Inf. Sci. 355-356: 348-365 (2016) - 2014
- [j29]Nádia Félix F. da Silva, Eduardo R. Hruschka, Estevam R. Hruschka Jr.:
Tweet sentiment analysis with classifier ensembles. Decis. Support Syst. 66: 170-179 (2014) - [c48]Luiz Fernando Sommaggio Coletta, Nádia Félix F. da Silva, Eduardo R. Hruschka, Estevam R. Hruschka Jr.:
Combining Classification and Clustering for Tweet Sentiment Analysis. BRACIS 2014: 210-215 - [c46]Nádia Félix F. da Silva, Estevam R. Hruschka Jr., Eduardo R. Hruschka:
Biocom_Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble. SemEval@COLING 2014: 123-128 - 2011
- [j19]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) - [j16]Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
A Bayesian imputation method for a clustering genetic algorithm. J. Comput. Methods Sci. Eng. 11(4): 173-183 (2011) - 2010
- [c31]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 - 2009
- [j12]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) - 2007
- [j10]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) - 2006
- [j5]Eduardo R. Hruschka, Estevam R. Hruschka Jr., Thiago F. Covoes, Nelson F. F. Ebecken:
Bayesian Feature Selection for Clustering Problems. J. Inf. Knowl. Manag. 5(4): 315-327 (2006) - 2005
- [c18]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 - [c16]Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken:
Missing Values Imputation for a Clustering Genetic Algorithm. ICNC (3) 2005: 245-254 - [c15]Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
Applying Bayesian Networks for Meteorological Data Mining. SGAI Conf. (Applications) 2005: 122-133 - 2004
- [c14]Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
Feature Selection by Bayesian Networks. Canadian AI 2004: 370-379 - [c13]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 - 2003
- [j3]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. Appl. Artif. Intell. 17(5-6): 489-506 (2003) - [c5]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 - [c4]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 - 2002
- [c3]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
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