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Trabalho de evento-anais periodico
A framework to generate synthetic multi-label datasets (2014)
Tomás, Jimena Torres; Spolaôr, Newton; Cherman, Everton Alvares; Monard, Maria Carolina
Source: Electronic Notes in Theoretical Computer Science. Conference titles: Latin American Computing Conference - CLEI. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOMÁS, Jimena Torres et al. A framework to generate synthetic multi-label datasets. Electronic Notes in Theoretical Computer Science. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.entcs.2014.01.025. Acesso em: 18 out. 2024. , 2014
APA
Tomás, J. T., Spolaôr, N., Cherman, E. A., & Monard, M. C. (2014). A framework to generate synthetic multi-label datasets. Electronic Notes in Theoretical Computer Science. Amsterdam: Elsevier. doi:10.1016/j.entcs.2014.01.025
NLM
Tomás JT, Spolaôr N, Cherman EA, Monard MC. A framework to generate synthetic multi-label datasets [Internet]. Electronic Notes in Theoretical Computer Science. 2014 ; fe 2014 155-176.[citado 2024 out. 18 ] Available from: https://doi.org/10.1016/j.entcs.2014.01.025
Vancouver
Tomás JT, Spolaôr N, Cherman EA, Monard MC. A framework to generate synthetic multi-label datasets [Internet]. Electronic Notes in Theoretical Computer Science. 2014 ; fe 2014 155-176.[citado 2024 out. 18 ] Available from: https://doi.org/10.1016/j.entcs.2014.01.025
Trabalho de evento-anais periodico
A comparison of multi-label feature selection methods using the problem transformation approach (2013)
Spolaôr, Newton; Cherman, Everton Alvares; Monard, Maria Carolina ; Lee, Huei Diana
Source: Electronic Notes in Theoretical Computer Science. Conference titles: Latin American Conference in Informatics - CLEI. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPOLAÔR, Newton et al. A comparison of multi-label feature selection methods using the problem transformation approach. Electronic Notes in Theoretical Computer Science. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.entcs.2013.02.010. Acesso em: 18 out. 2024. , 2013
APA
Spolaôr, N., Cherman, E. A., Monard, M. C., & Lee, H. D. (2013). A comparison of multi-label feature selection methods using the problem transformation approach. Electronic Notes in Theoretical Computer Science. Amsterdam: Elsevier. doi:10.1016/j.entcs.2013.02.010
NLM
Spolaôr N, Cherman EA, Monard MC, Lee HD. A comparison of multi-label feature selection methods using the problem transformation approach [Internet]. Electronic Notes in Theoretical Computer Science. 2013 ; 292( 5): 135-151.[citado 2024 out. 18 ] Available from: https://doi.org/10.1016/j.entcs.2013.02.010
Vancouver
Spolaôr N, Cherman EA, Monard MC, Lee HD. A comparison of multi-label feature selection methods using the problem transformation approach [Internet]. Electronic Notes in Theoretical Computer Science. 2013 ; 292( 5): 135-151.[citado 2024 out. 18 ] Available from: https://doi.org/10.1016/j.entcs.2013.02.010
Artigo de periodico
Incorporating label dependency into the binary relevance framework for multi-label classification (2012)
Cherman, Everton Alvares; Metz, Jean; Monard, Maria Carolina
Source: Expert Systems with Applications. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHERMAN, Everton Alvares e METZ, Jean e MONARD, Maria Carolina. Incorporating label dependency into the binary relevance framework for multi-label classification. Expert Systems with Applications, v. fe 2012, n. 2, p. 1647-1655, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2011.06.056. Acesso em: 18 out. 2024.
APA
Cherman, E. A., Metz, J., & Monard, M. C. (2012). Incorporating label dependency into the binary relevance framework for multi-label classification. Expert Systems with Applications, fe 2012( 2), 1647-1655. doi:10.1016/j.eswa.2011.06.056
NLM
Cherman EA, Metz J, Monard MC. Incorporating label dependency into the binary relevance framework for multi-label classification [Internet]. Expert Systems with Applications. 2012 ; fe 2012( 2): 1647-1655.[citado 2024 out. 18 ] Available from: https://doi.org/10.1016/j.eswa.2011.06.056
Vancouver
Cherman EA, Metz J, Monard MC. Incorporating label dependency into the binary relevance framework for multi-label classification [Internet]. Expert Systems with Applications. 2012 ; fe 2012( 2): 1647-1655.[citado 2024 out. 18 ] Available from: https://doi.org/10.1016/j.eswa.2011.06.056

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