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Classification with multi-modal classes using evolutionary algorithms and constrained clustering (2018)
Covões, Thiago Ferreira; Hruschka, Eduardo Raul
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, COMPUTAÇÃO EVOLUTIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COVÕES, Thiago Ferreira e HRUSCHKA, Eduardo Raul. Classification with multi-modal classes using evolutionary algorithms and constrained clustering. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/CEC.2018.8477858. Acesso em: 27 nov. 2025.
APA
Covões, T. F., & Hruschka, E. R. (2018). Classification with multi-modal classes using evolutionary algorithms and constrained clustering. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2018.8477858
NLM
Covões TF, Hruschka ER. Classification with multi-modal classes using evolutionary algorithms and constrained clustering [Internet]. Proceedings. 2018 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/CEC.2018.8477858
Vancouver
Covões TF, Hruschka ER. Classification with multi-modal classes using evolutionary algorithms and constrained clustering [Internet]. Proceedings. 2018 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/CEC.2018.8477858
Artigo de periodico
An evolutionary algorithm for clustering data streams with a variable number of clusters (2017)
Silva, Jonathan de Andrade; Hruschka, Eduardo Raul ; Gama, João
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Jonathan de Andrade e HRUSCHKA, Eduardo Raul e GAMA, João. An evolutionary algorithm for clustering data streams with a variable number of clusters. Expert Systems with Applications, v. 67, n. Ja 2017, p. 228-238, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.09.020. Acesso em: 27 nov. 2025.
APA
Silva, J. de A., Hruschka, E. R., & Gama, J. (2017). An evolutionary algorithm for clustering data streams with a variable number of clusters. Expert Systems with Applications, 67( Ja 2017), 228-238. doi:10.1016/j.eswa.2016.09.020
NLM
Silva J de A, Hruschka ER, Gama J. An evolutionary algorithm for clustering data streams with a variable number of clusters [Internet]. Expert Systems with Applications. 2017 ; 67( Ja 2017): 228-238.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.eswa.2016.09.020
Vancouver
Silva J de A, Hruschka ER, Gama J. An evolutionary algorithm for clustering data streams with a variable number of clusters [Internet]. Expert Systems with Applications. 2017 ; 67( Ja 2017): 228-238.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.eswa.2016.09.020
Artigo de periodico
Evolving Gaussian mixture models with splitting and merging mutation operators (2016)
Covões, Thiago Ferreira; Hruschka, Eduardo Raul ; Ghosh, Joydeep
Source: Evolutionary Computation. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COVÕES, Thiago Ferreira e HRUSCHKA, Eduardo Raul e GHOSH, Joydeep. Evolving Gaussian mixture models with splitting and merging mutation operators. Evolutionary Computation, v. 24, n. 2, p. 293-317, 2016Tradução . . Disponível em: https://doi.org/10.1162/EVCO_a_00152. Acesso em: 27 nov. 2025.
APA
Covões, T. F., Hruschka, E. R., & Ghosh, J. (2016). Evolving Gaussian mixture models with splitting and merging mutation operators. Evolutionary Computation, 24( 2), 293-317. doi:10.1162/EVCO_a_00152
NLM
Covões TF, Hruschka ER, Ghosh J. Evolving Gaussian mixture models with splitting and merging mutation operators [Internet]. Evolutionary Computation. 2016 ; 24( 2): 293-317.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1162/EVCO_a_00152
Vancouver
Covões TF, Hruschka ER, Ghosh J. Evolving Gaussian mixture models with splitting and merging mutation operators [Internet]. Evolutionary Computation. 2016 ; 24( 2): 293-317.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1162/EVCO_a_00152

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