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Filtros : "Multi-class classification" Limpar

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  • Artigo de periodico

    Feature extraction and selection from electroencephalogram signals for epileptic seizure diagnosis (2023)

    Vargas, Dionathan Luan de ; Oliva, Jefferson Tales ; Teixeira, Marcelo ; Casanova, Dalcimar ; Rosa, João Luís Garcia

    Source: Neural Computing and Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ELETROENCEFALOGRAFIA, EPILEPSIA, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE

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    • ABNT

      VARGAS, Dionathan Luan de et al. Feature extraction and selection from electroencephalogram signals for epileptic seizure diagnosis. Neural Computing and Applications, v. 35, n. 16, p. 12195-12219, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00521-023-08350-1. Acesso em: 19 jan. 2026.

    • APA

      Vargas, D. L. de, Oliva, J. T., Teixeira, M., Casanova, D., & Rosa, J. L. G. (2023). Feature extraction and selection from electroencephalogram signals for epileptic seizure diagnosis. Neural Computing and Applications, 35( 16), 12195-12219. doi:10.1007/s00521-023-08350-1

    • NLM

      Vargas DL de, Oliva JT, Teixeira M, Casanova D, Rosa JLG. Feature extraction and selection from electroencephalogram signals for epileptic seizure diagnosis [Internet]. Neural Computing and Applications. 2023 ; 35( 16): 12195-12219.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1007/s00521-023-08350-1

    • Vancouver

      Vargas DL de, Oliva JT, Teixeira M, Casanova D, Rosa JLG. Feature extraction and selection from electroencephalogram signals for epileptic seizure diagnosis [Internet]. Neural Computing and Applications. 2023 ; 35( 16): 12195-12219.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1007/s00521-023-08350-1

  • Artigo de periodico

    On novelty detection for multi-class classification using non-linear metric learning (2021)

    Silva, Samuel Rocha; Vieira, Thales ; Martínez, Dimas ; Paiva, Afonso

    Source: Expert Systems With Applications. Unidade: ICMC

    Subjects: ALGORITMOS, APRENDIZAGEM

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      SILVA, Samuel Rocha et al. On novelty detection for multi-class classification using non-linear metric learning. Expert Systems With Applications, v. 167, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.114193. Acesso em: 19 jan. 2026.

    • APA

      Silva, S. R., Vieira, T., Martínez, D., & Paiva, A. (2021). On novelty detection for multi-class classification using non-linear metric learning. Expert Systems With Applications, 167, 1-12. doi:10.1016/j.eswa.2020.114193

    • NLM

      Silva SR, Vieira T, Martínez D, Paiva A. On novelty detection for multi-class classification using non-linear metric learning [Internet]. Expert Systems With Applications. 2021 ; 167 1-12.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1016/j.eswa.2020.114193

    • Vancouver

      Silva SR, Vieira T, Martínez D, Paiva A. On novelty detection for multi-class classification using non-linear metric learning [Internet]. Expert Systems With Applications. 2021 ; 167 1-12.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1016/j.eswa.2020.114193
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