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Artigo de periodico
A support system for clustering data streams with a variable number of clusters (2016)
Silva, Jonathan de Andrade; Hruschka, Eduardo Raul
Fonte: ACM Transactions on Autonomous and Adaptive Systems. Unidade: ICMC
Assuntos: INTELIGÊNCIA ARTIFICIAL, RECONHECIMENTO DE PADRÕES, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Jonathan de Andrade e HRUSCHKA, Eduardo Raul. A support system for clustering data streams with a variable number of clusters. ACM Transactions on Autonomous and Adaptive Systems, v. 11, n. 2, p. 11:1-11:26, 2016Tradução . . Disponível em: https://doi.org/10.1145/2932704. Acesso em: 28 nov. 2025.
APA
Silva, J. de A., & Hruschka, E. R. (2016). A support system for clustering data streams with a variable number of clusters. ACM Transactions on Autonomous and Adaptive Systems, 11( 2), 11:1-11:26. doi:10.1145/2932704
NLM
Silva J de A, Hruschka ER. A support system for clustering data streams with a variable number of clusters [Internet]. ACM Transactions on Autonomous and Adaptive Systems. 2016 ; 11( 2): 11:1-11:26.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1145/2932704
Vancouver
Silva J de A, Hruschka ER. A support system for clustering data streams with a variable number of clusters [Internet]. ACM Transactions on Autonomous and Adaptive Systems. 2016 ; 11( 2): 11:1-11:26.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1145/2932704
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
Fonte: Proceedings. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: 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: 28 nov. 2025.
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 2025 nov. 28 ] 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 2025 nov. 28 ] Available from: https://doi.org/10.1109/BRACIS.2014.46
Artigo de periodico
An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning (2014)
Acharya, Ayan; Hruschka, Eduardo Raul ; Ghosh, Joydeep; Acharyya, Sreangsu
Fonte: ACM Transactions on Knowledge Discovery from Data. Unidade: ICMC
Assuntos: INTELIGÊNCIA ARTIFICIAL, RECONHECIMENTO DE PADRÕES, ALGORITMOS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ACHARYA, Ayan et al. An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning. ACM Transactions on Knowledge Discovery from Data, v. 9, n. 1, p. 1:1-1:35, 2014Tradução . . Disponível em: https://doi.org/10.1145/2601435. Acesso em: 28 nov. 2025.
APA
Acharya, A., Hruschka, E. R., Ghosh, J., & Acharyya, S. (2014). An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning. ACM Transactions on Knowledge Discovery from Data, 9( 1), 1:1-1:35. doi:10.1145/2601435
NLM
Acharya A, Hruschka ER, Ghosh J, Acharyya S. An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning [Internet]. ACM Transactions on Knowledge Discovery from Data. 2014 ; 9( 1): 1:1-1:35.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1145/2601435
Vancouver
Acharya A, Hruschka ER, Ghosh J, Acharyya S. An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning [Internet]. ACM Transactions on Knowledge Discovery from Data. 2014 ; 9( 1): 1:1-1:35.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1145/2601435

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