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Artigo de periodico
Using unsupervised information to improve semi-supervised tweet sentiment classification (2016)
Silva, Nádia Felix Felipe da; Coletta, Luiz Fernando Sommaggio ; Hruschka, Eduardo Raul ; Hruschka Junior, Estevam Rafael
Source: Information Sciences. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MÍDIAS SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Nádia Felix Felipe da et al. Using unsupervised information to improve semi-supervised tweet sentiment classification. Information Sciences, v. 355, p. 348-365, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2016.02.002. Acesso em: 05 nov. 2024.
APA
Silva, N. F. F. da, Coletta, L. F. S., Hruschka, E. R., & Hruschka Junior, E. R. (2016). Using unsupervised information to improve semi-supervised tweet sentiment classification. Information Sciences, 355, 348-365. doi:10.1016/j.ins.2016.02.002
NLM
Silva NFF da, Coletta LFS, Hruschka ER, Hruschka Junior ER. Using unsupervised information to improve semi-supervised tweet sentiment classification [Internet]. Information Sciences. 2016 ; 355 348-365.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.ins.2016.02.002
Vancouver
Silva NFF da, Coletta LFS, Hruschka ER, Hruschka Junior ER. Using unsupervised information to improve semi-supervised tweet sentiment classification [Internet]. Information Sciences. 2016 ; 355 348-365.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.ins.2016.02.002
Trabalho de evento
Biocom_Usp: tweet sentiment analysis with adaptive boosting ensemble (2014)
Silva, Nádia Felix Felipe da; Hruschka, Eduardo Raul ; Hruschka Junior, Estevam Rafael
Source: Proceedings. Conference titles: International Workshop on Semantic Evaluation - SemEval. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, WEB SEMÂNTICA, MÍDIAS SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Nádia Felix Felipe da e HRUSCHKA, Eduardo Raul e HRUSCHKA JUNIOR, Estevam Rafael. Biocom_Usp: tweet sentiment analysis with adaptive boosting ensemble. 2014, Anais.. Stroudsburg: ACL, 2014. Disponível em: http://www.aclweb.org/anthology/S/S14/S14-2017.pdf. Acesso em: 05 nov. 2024.
APA
Silva, N. F. F. da, Hruschka, E. R., & Hruschka Junior, E. R. (2014). Biocom_Usp: tweet sentiment analysis with adaptive boosting ensemble. In Proceedings. Stroudsburg: ACL. Recuperado de http://www.aclweb.org/anthology/S/S14/S14-2017.pdf
NLM
Silva NFF da, Hruschka ER, Hruschka Junior ER. Biocom_Usp: tweet sentiment analysis with adaptive boosting ensemble [Internet]. Proceedings. 2014 ;[citado 2024 nov. 05 ] Available from: http://www.aclweb.org/anthology/S/S14/S14-2017.pdf
Vancouver
Silva NFF da, Hruschka ER, Hruschka Junior ER. Biocom_Usp: tweet sentiment analysis with adaptive boosting ensemble [Internet]. Proceedings. 2014 ;[citado 2024 nov. 05 ] Available from: http://www.aclweb.org/anthology/S/S14/S14-2017.pdf
Trabalho de evento
Combining classification and clustering for tweet sentiment analysis (2014)
Coletta, Luiz Fernando Sommaggio ; Silva, Nádia Felix Felipe da; Hruschka, Eduardo Raul ; Hruschka Junior, Estevam Rafael
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, RECONHECIMENTO DE PADRÕES, WEB SEMÂNTICA, MÍDIAS SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COLETTA, Luiz Fernando Sommaggio et al. Combining classification and clustering for tweet sentiment analysis. 2014, Anais.. Los Alamitos: Conference Publishing Services, 2014. Disponível em: https://doi.org/10.1109/BRACIS.2014.46. Acesso em: 05 nov. 2024.
APA
Coletta, L. F. S., Silva, N. F. F. da, Hruschka, E. R., & Hruschka Junior, E. R. (2014). Combining classification and clustering for tweet sentiment analysis. In Proceedings. Los Alamitos: Conference Publishing Services. doi:10.1109/BRACIS.2014.46
NLM
Coletta LFS, Silva NFF da, Hruschka ER, Hruschka Junior ER. Combining classification and clustering for tweet sentiment analysis [Internet]. Proceedings. 2014 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/BRACIS.2014.46
Vancouver
Coletta LFS, Silva NFF da, Hruschka ER, Hruschka Junior ER. Combining classification and clustering for tweet sentiment analysis [Internet]. Proceedings. 2014 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/BRACIS.2014.46
Artigo de periodico
Tweet sentiment analysis with classifier ensembles (2014)
Silva, Nádia Felix Felipe da; Hruschka, Eduardo Raul ; Hruschka Junior, Estevam Rafael
Source: Decision Support Systems. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Nádia Felix Felipe da e HRUSCHKA, Eduardo Raul e HRUSCHKA JUNIOR, Estevam Rafael. Tweet sentiment analysis with classifier ensembles. Decision Support Systems, v. 66, p. 170-179, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.dss.2014.07.003. Acesso em: 05 nov. 2024.
APA
Silva, N. F. F. da, Hruschka, E. R., & Hruschka Junior, E. R. (2014). Tweet sentiment analysis with classifier ensembles. Decision Support Systems, 66, 170-179. doi:10.1016/j.dss.2014.07.003
NLM
Silva NFF da, Hruschka ER, Hruschka Junior ER. Tweet sentiment analysis with classifier ensembles [Internet]. Decision Support Systems. 2014 ; 66 170-179.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.dss.2014.07.003
Vancouver
Silva NFF da, Hruschka ER, Hruschka Junior ER. Tweet sentiment analysis with classifier ensembles [Internet]. Decision Support Systems. 2014 ; 66 170-179.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.dss.2014.07.003
Artigo de periodico
Automatic learning of temporal relations under the closed world assumption (2013)
Nicoletti, M. C.; Lisboa, Flávia Oliveira Santos de Sá; Hruschka Junior, Estevam Rafael
Source: Fundamenta Informaticae. Unidade: IFSC
Subjects: PROGRAMAÇÃO LÓGICA, INTELIGÊNCIA ARTIFICIAL, ÁLGEBRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NICOLETTI, M. C. e LISBOA, Flávia Oliveira Santos de Sá e HRUSCHKA JUNIOR, Estevam Rafael. Automatic learning of temporal relations under the closed world assumption. Fundamenta Informaticae, v. 124, n. 1/2, p. 133-151, 2013Tradução . . Disponível em: https://doi.org/10.3233/FI-2013-828. Acesso em: 05 nov. 2024.
APA
Nicoletti, M. C., Lisboa, F. O. S. de S., & Hruschka Junior, E. R. (2013). Automatic learning of temporal relations under the closed world assumption. Fundamenta Informaticae, 124( 1/2), 133-151. doi:10.3233/FI-2013-828
NLM
Nicoletti MC, Lisboa FOS de S, Hruschka Junior ER. Automatic learning of temporal relations under the closed world assumption [Internet]. Fundamenta Informaticae. 2013 ; 124( 1/2): 133-151.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3233/FI-2013-828
Vancouver
Nicoletti MC, Lisboa FOS de S, Hruschka Junior ER. Automatic learning of temporal relations under the closed world assumption [Internet]. Fundamenta Informaticae. 2013 ; 124( 1/2): 133-151.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3233/FI-2013-828
Trabalho de evento
Representation and automatic learning of temporal relations between time periods with uncertain boundaries (2012)
Nicoletti, M. C.; Lisboa, Flávia Oliveira Santos de Sá; Hruschka Junior, Estevam Rafael ; Oliveira, O. L.
Source: Proceedings. Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA. Unidade: IFSC
Subjects: INTELIGÊNCIA ARTIFICIAL, ÁLGEBRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NICOLETTI, M. C. et al. Representation and automatic learning of temporal relations between time periods with uncertain boundaries. 2012, Anais.. Piscataway: Institute of Eletrical and Eletronic Engineer - IEEE, 2012. Disponível em: https://doi.org/10.1109/ISDA.2012.6416579. Acesso em: 05 nov. 2024.
APA
Nicoletti, M. C., Lisboa, F. O. S. de S., Hruschka Junior, E. R., & Oliveira, O. L. (2012). Representation and automatic learning of temporal relations between time periods with uncertain boundaries. In Proceedings. Piscataway: Institute of Eletrical and Eletronic Engineer - IEEE. doi:10.1109/ISDA.2012.6416579
NLM
Nicoletti MC, Lisboa FOS de S, Hruschka Junior ER, Oliveira OL. Representation and automatic learning of temporal relations between time periods with uncertain boundaries [Internet]. Proceedings. 2012 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/ISDA.2012.6416579
Vancouver
Nicoletti MC, Lisboa FOS de S, Hruschka Junior ER, Oliveira OL. Representation and automatic learning of temporal relations between time periods with uncertain boundaries [Internet]. Proceedings. 2012 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/ISDA.2012.6416579
Artigo de periodico
Bayesian network classifiers: beyond classification accuracy (2011)
Santos, Edimilson Batista dos; Hruschka Junior, Estevam Rafael ; Hruschka, Eduardo Raul ; Ebecken, Nelson Francisco Favilla
Source: Intelligent Data Analysis : an International Journal. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Edimilson Batista dos et al. Bayesian network classifiers: beyond classification accuracy. Intelligent Data Analysis : an International Journal, v. 15, n. 3, p. 279-298, 2011Tradução . . Disponível em: https://doi.org/10.3233/IDA-2010-0468. Acesso em: 05 nov. 2024.
APA
Santos, E. B. dos, Hruschka Junior, E. R., Hruschka, E. R., & Ebecken, N. F. F. (2011). Bayesian network classifiers: beyond classification accuracy. Intelligent Data Analysis : an International Journal, 15( 3), 279-298. doi:10.3233/IDA-2010-0468
NLM
Santos EB dos, Hruschka Junior ER, Hruschka ER, Ebecken NFF. Bayesian network classifiers: beyond classification accuracy [Internet]. Intelligent Data Analysis : an International Journal. 2011 ;15( 3): 279-298.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3233/IDA-2010-0468
Vancouver
Santos EB dos, Hruschka Junior ER, Hruschka ER, Ebecken NFF. Bayesian network classifiers: beyond classification accuracy [Internet]. Intelligent Data Analysis : an International Journal. 2011 ;15( 3): 279-298.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3233/IDA-2010-0468
Artigo de periodico
A Bayesian imputation method for a clustering genetic algorithm (2011)
Hruschka Junior, Estevam Rafael ; Hruschka, Eduardo Raul ; Ebecken, Nelson Francisco Favilla
Source: Journal of Computational Methods in Sciences and Engineering. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HRUSCHKA JUNIOR, Estevam Rafael e HRUSCHKA, Eduardo Raul e EBECKEN, Nelson Francisco Favilla. A Bayesian imputation method for a clustering genetic algorithm. Journal of Computational Methods in Sciences and Engineering, v. 11, n. 4, p. 173-183, 2011Tradução . . Disponível em: https://doi.org/10.3233/JCM-2011-0362. Acesso em: 05 nov. 2024.
APA
Hruschka Junior, E. R., Hruschka, E. R., & Ebecken, N. F. F. (2011). A Bayesian imputation method for a clustering genetic algorithm. Journal of Computational Methods in Sciences and Engineering, 11( 4), 173-183. doi:10.3233/JCM-2011-0362
NLM
Hruschka Junior ER, Hruschka ER, Ebecken NFF. A Bayesian imputation method for a clustering genetic algorithm [Internet]. Journal of Computational Methods in Sciences and Engineering. 2011 ; 11( 4): 173-183.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3233/JCM-2011-0362
Vancouver
Hruschka Junior ER, Hruschka ER, Ebecken NFF. A Bayesian imputation method for a clustering genetic algorithm [Internet]. Journal of Computational Methods in Sciences and Engineering. 2011 ; 11( 4): 173-183.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3233/JCM-2011-0362
Trabalho de evento-anais periodico
Learning temporal interval relations using inductive logic programming (2011)
Nicoletti, Maria do Carmo; Lisboa, Flávia Oliveira Santos de Sá; Hruschka Junior, Estevam Rafael
Source: Communications in Computer and Information Science. Conference titles: International Conference on Integrated Computing Technology - INTECH. Unidade: IFSC
Subjects: MODELAGEM DE DADOS, BANCO DE DADOS TEMPORAIS, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NICOLETTI, Maria do Carmo e LISBOA, Flávia Oliveira Santos de Sá e HRUSCHKA JUNIOR, Estevam Rafael. Learning temporal interval relations using inductive logic programming. Communications in Computer and Information Science. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-642-22247-4_8. Acesso em: 05 nov. 2024. , 2011
APA
Nicoletti, M. do C., Lisboa, F. O. S. de S., & Hruschka Junior, E. R. (2011). Learning temporal interval relations using inductive logic programming. Communications in Computer and Information Science. Heidelberg: Springer. doi:10.1007/978-3-642-22247-4_8
NLM
Nicoletti M do C, Lisboa FOS de S, Hruschka Junior ER. Learning temporal interval relations using inductive logic programming [Internet]. Communications in Computer and Information Science. 2011 ; 165 90-104.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-22247-4_8
Vancouver
Nicoletti M do C, Lisboa FOS de S, Hruschka Junior ER. Learning temporal interval relations using inductive logic programming [Internet]. Communications in Computer and Information Science. 2011 ; 165 90-104.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-22247-4_8
Trabalho de evento
A distance-based mutation operator for learning bayesian network structures using evolutionary algorithms (2010)
Santos, Edimilson Batista dos; Hruschka Junior, Estevam Rafael ; Hruschka, Eduardo Raul ; Ebecken, Nelson Francisco Favilla
Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence - WCCI. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Edimilson Batista dos et al. A distance-based mutation operator for learning bayesian network structures using evolutionary algorithms. 2010, Anais.. Piscataway: Institute of Electrical and Electronics Engineers - IEEE, 2010. Disponível em: https://doi.org/10.1109/CEC.2010.5586049. Acesso em: 05 nov. 2024.
APA
Santos, E. B. dos, Hruschka Junior, E. R., Hruschka, E. R., & Ebecken, N. F. F. (2010). A distance-based mutation operator for learning bayesian network structures using evolutionary algorithms. In Proceedings. Piscataway: Institute of Electrical and Electronics Engineers - IEEE. doi:10.1109/CEC.2010.5586049
NLM
Santos EB dos, Hruschka Junior ER, Hruschka ER, Ebecken NFF. A distance-based mutation operator for learning bayesian network structures using evolutionary algorithms [Internet]. Proceedings. 2010 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/CEC.2010.5586049
Vancouver
Santos EB dos, Hruschka Junior ER, Hruschka ER, Ebecken NFF. A distance-based mutation operator for learning bayesian network structures using evolutionary algorithms [Internet]. Proceedings. 2010 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/CEC.2010.5586049
Artigo de periodico
On the influence of imputation in classification: practical issues (2009)
Hruschka, Eduardo Raul ; Garcia, Antonio J. T.; Hruschka Junior, Estevam Rafael ; Ebecken, Nelson Francisco Favilla
Source: Journal of Experimental & Theoretical Artificial Intelligence. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HRUSCHKA, Eduardo Raul et al. On the influence of imputation in classification: practical issues. Journal of Experimental & Theoretical Artificial Intelligence, v. 21, n. 1, p. 43 - 58, 2009Tradução . . Disponível em: https://doi.org/10.1080/09528130802246602. Acesso em: 05 nov. 2024.
APA
Hruschka, E. R., Garcia, A. J. T., Hruschka Junior, E. R., & Ebecken, N. F. F. (2009). On the influence of imputation in classification: practical issues. Journal of Experimental & Theoretical Artificial Intelligence, 21( 1), 43 - 58. doi:10.1080/09528130802246602
NLM
Hruschka ER, Garcia AJT, Hruschka Junior ER, Ebecken NFF. On the influence of imputation in classification: practical issues [Internet]. Journal of Experimental & Theoretical Artificial Intelligence. 2009 ; 21( 1): 43 - 58.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1080/09528130802246602
Vancouver
Hruschka ER, Garcia AJT, Hruschka Junior ER, Ebecken NFF. On the influence of imputation in classification: practical issues [Internet]. Journal of Experimental & Theoretical Artificial Intelligence. 2009 ; 21( 1): 43 - 58.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1080/09528130802246602

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