ReP USP - Resultado da busca

Artigo de periodico
A survey and comparative study of tweet sentiment analysis via semi-supervised learning (2016)
Silva, Nádia Felix Felipe da; Coletta, Luiz Fernando Sommaggio ; Hruschka, Eduardo Raul
Source: ACM Computing Surveys. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Nádia Felix Felipe da e COLETTA, Luiz Fernando Sommaggio e HRUSCHKA, Eduardo Raul. A survey and comparative study of tweet sentiment analysis via semi-supervised learning. ACM Computing Surveys, v. 49, n. Ju 2016, p. 15:1-15:26, 2016Tradução . . Disponível em: https://doi.org/10.1145/2932708. Acesso em: 15 maio 2024.
APA
Silva, N. F. F. da, Coletta, L. F. S., & Hruschka, E. R. (2016). A survey and comparative study of tweet sentiment analysis via semi-supervised learning. ACM Computing Surveys, 49( Ju 2016), 15:1-15:26. doi:10.1145/2932708
NLM
Silva NFF da, Coletta LFS, Hruschka ER. A survey and comparative study of tweet sentiment analysis via semi-supervised learning [Internet]. ACM Computing Surveys. 2016 ; 49( Ju 2016): 15:1-15:26.[citado 2024 maio 15 ] Available from: https://doi.org/10.1145/2932708
Vancouver
Silva NFF da, Coletta LFS, Hruschka ER. A survey and comparative study of tweet sentiment analysis via semi-supervised learning [Internet]. ACM Computing Surveys. 2016 ; 49( Ju 2016): 15:1-15:26.[citado 2024 maio 15 ] Available from: https://doi.org/10.1145/2932708
Artigo de periodico
Using metaheuristics to optimize the combination of classifier and cluster ensembles (2015)
Coletta, Luiz Fernando Sommaggio ; Hruschka, Eduardo Raul ; Acharya, Ayan; Ghosh, Joydeep
Source: Integrated Computer-Aided Engineering. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COLETTA, Luiz Fernando Sommaggio et al. Using metaheuristics to optimize the combination of classifier and cluster ensembles. Integrated Computer-Aided Engineering, v. 22, n. 3, p. 229-242, 2015Tradução . . Disponível em: https://doi.org/10.3233/ICA-150485. Acesso em: 15 maio 2024.
APA
Coletta, L. F. S., Hruschka, E. R., Acharya, A., & Ghosh, J. (2015). Using metaheuristics to optimize the combination of classifier and cluster ensembles. Integrated Computer-Aided Engineering, 22( 3), 229-242. doi:10.3233/ICA-150485
NLM
Coletta LFS, Hruschka ER, Acharya A, Ghosh J. Using metaheuristics to optimize the combination of classifier and cluster ensembles [Internet]. Integrated Computer-Aided Engineering. 2015 ; 22( 3): 229-242.[citado 2024 maio 15 ] Available from: https://doi.org/10.3233/ICA-150485
Vancouver
Coletta LFS, Hruschka ER, Acharya A, Ghosh J. Using metaheuristics to optimize the combination of classifier and cluster ensembles [Internet]. Integrated Computer-Aided Engineering. 2015 ; 22( 3): 229-242.[citado 2024 maio 15 ] Available from: https://doi.org/10.3233/ICA-150485
Artigo de periodico
A differential evolution algorithm to optimise the combination of classifier and cluster ensembles (2015)
Coletta, Luiz Fernando Sommaggio ; Hruschka, Eduardo Raul ; Acharya, Ayan; Ghosh, Joydeep
Source: International Journal of Bio-Inspired Computation. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COLETTA, Luiz Fernando Sommaggio et al. A differential evolution algorithm to optimise the combination of classifier and cluster ensembles. International Journal of Bio-Inspired Computation, v. 7, n. 2, p. 111-124, 2015Tradução . . Disponível em: https://doi.org/10.1504/IJBIC.2015.069288. Acesso em: 15 maio 2024.
APA
Coletta, L. F. S., Hruschka, E. R., Acharya, A., & Ghosh, J. (2015). A differential evolution algorithm to optimise the combination of classifier and cluster ensembles. International Journal of Bio-Inspired Computation, 7( 2), 111-124. doi:10.1504/IJBIC.2015.069288
NLM
Coletta LFS, Hruschka ER, Acharya A, Ghosh J. A differential evolution algorithm to optimise the combination of classifier and cluster ensembles [Internet]. International Journal of Bio-Inspired Computation. 2015 ; 7( 2): 111-124.[citado 2024 maio 15 ] Available from: https://doi.org/10.1504/IJBIC.2015.069288
Vancouver
Coletta LFS, Hruschka ER, Acharya A, Ghosh J. A differential evolution algorithm to optimise the combination of classifier and cluster ensembles [Internet]. International Journal of Bio-Inspired Computation. 2015 ; 7( 2): 111-124.[citado 2024 maio 15 ] Available from: https://doi.org/10.1504/IJBIC.2015.069288
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: 15 maio 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 maio 15 ] 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 maio 15 ] Available from: https://doi.org/10.1109/BRACIS.2014.46
Trabalho de evento
Towards the use of metaheuristics for optimizing the combination of classifier and cluster ensembles (2013)
Coletta, Luiz Fernando Sommaggio ; Hruschka, Eduardo Raul ; Acharya, Ayan; Ghosh, Joydeep
Source: Proceedings. Conference titles: BRICS Countries Congress on Computational Intelligence - BRICS-CCI. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COLETTA, Luiz Fernando Sommaggio et al. Towards the use of metaheuristics for optimizing the combination of classifier and cluster ensembles. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/BRICS-CCI-CBIC.2013.86. Acesso em: 15 maio 2024.
APA
Coletta, L. F. S., Hruschka, E. R., Acharya, A., & Ghosh, J. (2013). Towards the use of metaheuristics for optimizing the combination of classifier and cluster ensembles. In Proceedings. Piscataway: IEEE. doi:10.1109/BRICS-CCI-CBIC.2013.86
NLM
Coletta LFS, Hruschka ER, Acharya A, Ghosh J. Towards the use of metaheuristics for optimizing the combination of classifier and cluster ensembles [Internet]. Proceedings. 2013 ;[citado 2024 maio 15 ] Available from: https://doi.org/10.1109/BRICS-CCI-CBIC.2013.86
Vancouver
Coletta LFS, Hruschka ER, Acharya A, Ghosh J. Towards the use of metaheuristics for optimizing the combination of classifier and cluster ensembles [Internet]. Proceedings. 2013 ;[citado 2024 maio 15 ] Available from: https://doi.org/10.1109/BRICS-CCI-CBIC.2013.86

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