Menu

Filtros : "Tinós, Renato" "Holanda" Limpar

Filtros

Refine with date range

  • 1

1 - 6 (6 records)

  • Artigo de periodico

    Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning (2021)

    Silva, Luiz Eduardo Virgilio da ; Moreira, Henrique Turin ; Bernardo, Mariani Mendes Madisson; Schmidt, Andre ; Romano, Minna Moreira Dias ; Salgado, Hélio César ; Fazan Júnior, Rubens ; Tinós, Renato ; Marin Neto, José Antonio

    Source: Biomedical Signal Processing and Control. Unidades: FMRP, FFCLRP

    Subjects: DOENÇA DE CHAGAS, FREQUÊNCIA CARDÍACA, APRENDIZADO COMPUTACIONAL, ECOCARDIOGRAFIA, FATORES DE RISCO

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

    • ABNT

      SILVA, Luiz Eduardo Virgilio da et al. Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning. Biomedical Signal Processing and Control, v. 67, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2021.102513. Acesso em: 16 ago. 2024.

    • APA

      Silva, L. E. V. da, Moreira, H. T., Bernardo, M. M. M., Schmidt, A., Romano, M. M. D., Salgado, H. C., et al. (2021). Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning. Biomedical Signal Processing and Control, 67. doi:10.1016/j.bspc.2021.102513

    • NLM

      Silva LEV da, Moreira HT, Bernardo MMM, Schmidt A, Romano MMD, Salgado HC, Fazan Júnior R, Tinós R, Marin Neto JA. Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning [Internet]. Biomedical Signal Processing and Control. 2021 ; 67[citado 2024 ago. 16 ] Available from: https://doi.org/10.1016/j.bspc.2021.102513

    • Vancouver

      Silva LEV da, Moreira HT, Bernardo MMM, Schmidt A, Romano MMD, Salgado HC, Fazan Júnior R, Tinós R, Marin Neto JA. Prediction of echocardiographic parameters in Chagas disease using heart rate variability and machine learning [Internet]. Biomedical Signal Processing and Control. 2021 ; 67[citado 2024 ago. 16 ] Available from: https://doi.org/10.1016/j.bspc.2021.102513

  • Artigo de periodico

    Artificial neural network based crossover for evolutionary algorithms (2020)

    Tinós, Renato

    Source: Applied Soft Computing. Unidade: FFCLRP

    Subjects: ALGORITMOS, REDES NEURAIS, OPERADORES, ALGORITMOS GENÉTICOS

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

    • ABNT

      TINÓS, Renato. Artificial neural network based crossover for evolutionary algorithms. Applied Soft Computing, v. 95, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2020.106512. Acesso em: 16 ago. 2024.

    • APA

      Tinós, R. (2020). Artificial neural network based crossover for evolutionary algorithms. Applied Soft Computing, 95. doi:10.1016/j.asoc.2020.106512

    • NLM

      Tinós R. Artificial neural network based crossover for evolutionary algorithms [Internet]. Applied Soft Computing. 2020 ; 95[citado 2024 ago. 16 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512

    • Vancouver

      Tinós R. Artificial neural network based crossover for evolutionary algorithms [Internet]. Applied Soft Computing. 2020 ; 95[citado 2024 ago. 16 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512

  • Artigo de periodico

    Investigation of rat exploratory behavior via evolving artificial neural networks (2016)

    Costa, Ariadne de Andrade; Tinós, Renato

    Source: Journal of Neuroscience Methods. Unidade: FFCLRP

    Subjects: REDES NEURAIS, ANSIEDADE, NEUROCIÊNCIAS, ALGORITMOS GENÉTICOS, COMPORTAMENTO EXPLORATÓRIO ANIMAL

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

    • ABNT

      COSTA, Ariadne de Andrade e TINÓS, Renato. Investigation of rat exploratory behavior via evolving artificial neural networks. Journal of Neuroscience Methods, v. 270, p. 102-110, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.jneumeth.2016.06.010. Acesso em: 16 ago. 2024.

    • APA

      Costa, A. de A., & Tinós, R. (2016). Investigation of rat exploratory behavior via evolving artificial neural networks. Journal of Neuroscience Methods, 270, 102-110. doi:10.1016/j.jneumeth.2016.06.010

    • NLM

      Costa A de A, Tinós R. Investigation of rat exploratory behavior via evolving artificial neural networks [Internet]. Journal of Neuroscience Methods. 2016 ; 270 102-110.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1016/j.jneumeth.2016.06.010

    • Vancouver

      Costa A de A, Tinós R. Investigation of rat exploratory behavior via evolving artificial neural networks [Internet]. Journal of Neuroscience Methods. 2016 ; 270 102-110.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1016/j.jneumeth.2016.06.010

  • Artigo de periodico

    A computational model for exploratory activity of rats with different anxiety levels in elevated plus-maze (2014)

    Costa, Ariadne A; Morato, Silvio; Roque, Antônio Carlos; Tinós, Renato

    Source: Journal of Neuroscience Methods. Unidade: FFCLRP

    Subjects: BIOINFORMÁTICA, RATOS, COMPORTAMENTO EXPLORATÓRIO, ALGORITMOS GENÉTICOS, REDES NEURAIS

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

    • ABNT

      COSTA, Ariadne A et al. A computational model for exploratory activity of rats with different anxiety levels in elevated plus-maze. Journal of Neuroscience Methods, v. 236, p. 44-50, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.jneumeth.2014.08.006. Acesso em: 16 ago. 2024.

    • APA

      Costa, A. A., Morato, S., Roque, A. C., & Tinós, R. (2014). A computational model for exploratory activity of rats with different anxiety levels in elevated plus-maze. Journal of Neuroscience Methods, 236, 44-50. doi:10.1016/j.jneumeth.2014.08.006

    • NLM

      Costa AA, Morato S, Roque AC, Tinós R. A computational model for exploratory activity of rats with different anxiety levels in elevated plus-maze [Internet]. Journal of Neuroscience Methods. 2014 ; 236 44-50.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1016/j.jneumeth.2014.08.006

    • Vancouver

      Costa AA, Morato S, Roque AC, Tinós R. A computational model for exploratory activity of rats with different anxiety levels in elevated plus-maze [Internet]. Journal of Neuroscience Methods. 2014 ; 236 44-50.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1016/j.jneumeth.2014.08.006

  • Artigo de periodico

    Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems (2011)

    Tinós, Renato; Yang, Sehngxiang

    Source: International Journal of Hybrid Intelligent Systems. Unidade: FFCLRP

    Assunto: CIÊNCIA DA COMPUTAÇÃO

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

    • ABNT

      TINÓS, Renato e YANG, Sehngxiang. Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems. International Journal of Hybrid Intelligent Systems, v. 8, n. 3, p. 155-168, 2011Tradução . . Disponível em: https://doi.org/10.3233/his-2011-0136. Acesso em: 16 ago. 2024.

    • APA

      Tinós, R., & Yang, S. (2011). Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems. International Journal of Hybrid Intelligent Systems, 8( 3), 155-168. doi:10.3233/his-2011-0136

    • NLM

      Tinós R, Yang S. Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems [Internet]. International Journal of Hybrid Intelligent Systems. 2011 ; 8( 3): 155-168.[citado 2024 ago. 16 ] Available from: https://doi.org/10.3233/his-2011-0136

    • Vancouver

      Tinós R, Yang S. Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems [Internet]. International Journal of Hybrid Intelligent Systems. 2011 ; 8( 3): 155-168.[citado 2024 ago. 16 ] Available from: https://doi.org/10.3233/his-2011-0136

  • Artigo de periodico

    Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems (2006)

    Tinós, Renato; Carvalho, André Carlos Ponce de Leon Ferreira de

    Source: Neurocomputing. Unidades: FFCLRP, ICMC

    Assunto: ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES

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

    • ABNT

      TINÓS, Renato e CARVALHO, André Carlos Ponce de Leon Ferreira de. Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems. Neurocomputing, v. 70, n. 1-3, p. 44-54, 2006Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2006.07.005. Acesso em: 16 ago. 2024.

    • APA

      Tinós, R., & Carvalho, A. C. P. de L. F. de. (2006). Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems. Neurocomputing, 70( 1-3), 44-54. doi:10.1016/j.neucom.2006.07.005

    • NLM

      Tinós R, Carvalho ACP de LF de. Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems [Internet]. Neurocomputing. 2006 ; 70( 1-3): 44-54.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1016/j.neucom.2006.07.005

    • Vancouver

      Tinós R, Carvalho ACP de LF de. Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems [Internet]. Neurocomputing. 2006 ; 70( 1-3): 44-54.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1016/j.neucom.2006.07.005
  • 1

1 - 6 (6 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024