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Filtros : "LIMA, CLODOALDO APARECIDO DE MORAES" "Holanda" Removido: "Neural Computing and Applications" Limpar

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  • Artigo de periodico

    Studies in automated hand gesture analysis: an overview of functional types and gesture phases (2016)

    Madeo, Renata Cristina Barros; Lima, Clodoaldo Aparecido de Moraes; Peres, Sarajane Marques

    Source: Language Resources and Evaluation. Unidade: EACH

    Subjects: RECONHECIMENTO DE PADRÕES, INTERFACE HOMEM-COMPUTADOR, GESTOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      MADEO, Renata Cristina Barros e LIMA, Clodoaldo Aparecido de Moraes e PERES, Sarajane Marques. Studies in automated hand gesture analysis: an overview of functional types and gesture phases. Language Resources and Evaluation, v. no 2016, p. on-line, 2016Tradução . . Disponível em: https://doi.org/10.1007/s10579-016-9373-4. Acesso em: 27 nov. 2025.

    • APA

      Madeo, R. C. B., Lima, C. A. de M., & Peres, S. M. (2016). Studies in automated hand gesture analysis: an overview of functional types and gesture phases. Language Resources and Evaluation, no 2016, on-line. doi:10.1007/s10579-016-9373-4

    • NLM

      Madeo RCB, Lima CA de M, Peres SM. Studies in automated hand gesture analysis: an overview of functional types and gesture phases [Internet]. Language Resources and Evaluation. 2016 ; no 2016 on-line.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10579-016-9373-4

    • Vancouver

      Madeo RCB, Lima CA de M, Peres SM. Studies in automated hand gesture analysis: an overview of functional types and gesture phases [Internet]. Language Resources and Evaluation. 2016 ; no 2016 on-line.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10579-016-9373-4

  • Artigo de periodico

    EEG signal classification for epilepsy diagnosis via optimum path forest: a systematic assessment (2014)

    Nunes, Thiago M.; Coelho, André L.V; Lima, Clodoaldo Aparecido de Moraes; Papa, João P; Albuquerque, Victor Hugo C. de

    Source: Neurocomputing. Unidade: EACH

    Subjects: PROCESSAMENTO DE SINAIS BIOMÉDICOS, EPILEPSIA (DIAGNÓSTICO), ELETROENCEFALOGRAFIA

    Acesso à fonteDOIHow to cite
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    • ABNT

      NUNES, Thiago M. et al. EEG signal classification for epilepsy diagnosis via optimum path forest: a systematic assessment. Neurocomputing, v. 136, p. 103\2013123, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.01.020. Acesso em: 27 nov. 2025.

    • APA

      Nunes, T. M., Coelho, A. L. V., Lima, C. A. de M., Papa, J. P., & Albuquerque, V. H. C. de. (2014). EEG signal classification for epilepsy diagnosis via optimum path forest: a systematic assessment. Neurocomputing, 136, 103\2013123. doi:10.1016/j.neucom.2014.01.020

    • NLM

      Nunes TM, Coelho ALV, Lima CA de M, Papa JP, Albuquerque VHC de. EEG signal classification for epilepsy diagnosis via optimum path forest: a systematic assessment [Internet]. Neurocomputing. 2014 ; 136 103\2013123.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.neucom.2014.01.020

    • Vancouver

      Nunes TM, Coelho ALV, Lima CA de M, Papa JP, Albuquerque VHC de. EEG signal classification for epilepsy diagnosis via optimum path forest: a systematic assessment [Internet]. Neurocomputing. 2014 ; 136 103\2013123.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.neucom.2014.01.020

  • Artigo de periodico

    Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study (2011)

    Lima, Clodoaldo Aparecido de Moraes; Coelho, André L.V

    Source: Artificial Intelligence in Medicine. Unidade: EACH

    Subjects: INTELIGÊNCIA ARTIFICIAL, SINAIS BIOMÉDICOS, APRENDIZADO COMPUTACIONAL, EPILEPSIA (DIAGNÓSTICO)

    Acesso à fonteDOIHow to cite
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    • ABNT

      LIMA, Clodoaldo Aparecido de Moraes e COELHO, André L.V. Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study. Artificial Intelligence in Medicine, v. 53, n. 2, p. 83-95, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.artmed.2011.07.003. Acesso em: 27 nov. 2025.

    • APA

      Lima, C. A. de M., & Coelho, A. L. V. (2011). Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study. Artificial Intelligence in Medicine, 53( 2), 83-95. doi:10.1016/j.artmed.2011.07.003

    • NLM

      Lima CA de M, Coelho ALV. Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study [Internet]. Artificial Intelligence in Medicine. 2011 ; 53( 2): 83-95.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.artmed.2011.07.003

    • Vancouver

      Lima CA de M, Coelho ALV. Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study [Internet]. Artificial Intelligence in Medicine. 2011 ; 53( 2): 83-95.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.artmed.2011.07.003
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