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Filtros : "Fujita, André" "Holanda" Limpar

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  • Artigo de periodico

    Convolution-based linear discriminant analysis for functional data classification (2021)

    Guzman, Grover Enrique Castro ; Fujita, André

    Source: Information Sciences. Unidade: IME

    Subjects: ANÁLISE MULTIVARIADA, ESTATÍSTICA DE PROCESSOS ESTOCÁSTICOS

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    • ABNT

      GUZMAN, Grover Enrique Castro e FUJITA, André. Convolution-based linear discriminant analysis for functional data classification. Information Sciences, v. 581, p. 469-478, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2021.09.057. Acesso em: 05 nov. 2024.

    • APA

      Guzman, G. E. C., & Fujita, A. (2021). Convolution-based linear discriminant analysis for functional data classification. Information Sciences, 581, 469-478. doi:10.1016/j.ins.2021.09.057

    • NLM

      Guzman GEC, Fujita A. Convolution-based linear discriminant analysis for functional data classification [Internet]. Information Sciences. 2021 ; 581 469-478.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.ins.2021.09.057

    • Vancouver

      Guzman GEC, Fujita A. Convolution-based linear discriminant analysis for functional data classification [Internet]. Information Sciences. 2021 ; 581 469-478.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.ins.2021.09.057

  • Trabalho de evento-resumo periodico

    Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer (2020)

    Castro Junior, Gilberto de ; Neves, Willan das ; Borges, Ana Paula de Souza ; Carvalho, Vinicius Jardim ; Brum, Patrícia Chakur ; Fujita, André

    Source: Annals of Oncology. Conference titles: European Society for Medical Oncology Congress - ESMO. Unidades: IME, EEFE, FM, BIOINFORMÁTICA

    Assunto: BIOINFORMÁTICA

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    • ABNT

      CASTRO JUNIOR, Gilberto de et al. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer. Annals of Oncology. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.annonc.2020.08.1460. Acesso em: 05 nov. 2024. , 2020

    • APA

      Castro Junior, G. de, Neves, W. das, Borges, A. P. de S., Carvalho, V. J., Brum, P. C., & Fujita, A. (2020). Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer. Annals of Oncology. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.annonc.2020.08.1460

    • NLM

      Castro Junior G de, Neves W das, Borges AP de S, Carvalho VJ, Brum PC, Fujita A. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer [Internet]. Annals of Oncology. 2020 ; 31( supl. 4): S1047.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.annonc.2020.08.1460

    • Vancouver

      Castro Junior G de, Neves W das, Borges AP de S, Carvalho VJ, Brum PC, Fujita A. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer [Internet]. Annals of Oncology. 2020 ; 31( supl. 4): S1047.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.annonc.2020.08.1460

  • Artigo de periodico

    Gene expression and promoter methylation of angiogenic and lymphangiogenic factors as prognostic markers in melanoma (2019)

    Monteiro, Ana Carolina; Muenzner, Julienne Kathrin; Andrade, Fernando; Rius, Flávia Eichemberger ; Ostalecki, Christian; Geppert, Carol Immanuel; Agaimy, Abbas ; Hartmann, Arndt ; Fujita, André ; Schneider‐Stock, Regine ; Jasiulionis, Miriam G

    Source: Molecular Oncology. Unidade: IME

    Assunto: BIOINFORMÁTICA

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    • ABNT

      MONTEIRO, Ana Carolina et al. Gene expression and promoter methylation of angiogenic and lymphangiogenic factors as prognostic markers in melanoma. Molecular Oncology, v. 13, p. 1433-1449, 2019Tradução . . Disponível em: https://doi.org/10.1002/1878-0261.12501. Acesso em: 05 nov. 2024.

    • APA

      Monteiro, A. C., Muenzner, J. K., Andrade, F., Rius, F. E., Ostalecki, C., Geppert, C. I., et al. (2019). Gene expression and promoter methylation of angiogenic and lymphangiogenic factors as prognostic markers in melanoma. Molecular Oncology, 13, 1433-1449. doi:10.1002/1878-0261.12501

    • NLM

      Monteiro AC, Muenzner JK, Andrade F, Rius FE, Ostalecki C, Geppert CI, Agaimy A, Hartmann A, Fujita A, Schneider‐Stock R, Jasiulionis MG. Gene expression and promoter methylation of angiogenic and lymphangiogenic factors as prognostic markers in melanoma [Internet]. Molecular Oncology. 2019 ; 13 1433-1449.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1002/1878-0261.12501

    • Vancouver

      Monteiro AC, Muenzner JK, Andrade F, Rius FE, Ostalecki C, Geppert CI, Agaimy A, Hartmann A, Fujita A, Schneider‐Stock R, Jasiulionis MG. Gene expression and promoter methylation of angiogenic and lymphangiogenic factors as prognostic markers in melanoma [Internet]. Molecular Oncology. 2019 ; 13 1433-1449.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1002/1878-0261.12501

  • Artigo de periodico

    Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder (2019)

    Ramos, Taiane Coelho; Balardin, Joana Bisol ; Sato, João Ricardo ; Fujita, André

    Source: Frontiers in Systems Neuroscience. Unidade: IME

    Subjects: TRANSTORNOS COGNITIVOS, BIOINFORMÁTICA

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    • ABNT

      RAMOS, Taiane Coelho et al. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder. Frontiers in Systems Neuroscience, v. 12, 2019Tradução . . Disponível em: https://doi.org/10.3389/fnsys.2018.00074. Acesso em: 05 nov. 2024.

    • APA

      Ramos, T. C., Balardin, J. B., Sato, J. R., & Fujita, A. (2019). Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder. Frontiers in Systems Neuroscience, 12. doi:10.3389/fnsys.2018.00074

    • NLM

      Ramos TC, Balardin JB, Sato JR, Fujita A. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder [Internet]. Frontiers in Systems Neuroscience. 2019 ; 12[citado 2024 nov. 05 ] Available from: https://doi.org/10.3389/fnsys.2018.00074

    • Vancouver

      Ramos TC, Balardin JB, Sato JR, Fujita A. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder [Internet]. Frontiers in Systems Neuroscience. 2019 ; 12[citado 2024 nov. 05 ] Available from: https://doi.org/10.3389/fnsys.2018.00074

  • Artigo de periodico

    Correlation between graphs with an application to brain network analysis (2017)

    Fujita, André ; Takahashi, Daniel Yasumasa ; Balardin, Joana Bisol ; Vidal, Maciel Calebe ; Sato, João Ricardo

    Source: Computational Statistics and Data Analysis. Unidade: IME

    Assunto: REDES NEURAIS

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    • ABNT

      FUJITA, André et al. Correlation between graphs with an application to brain network analysis. Computational Statistics and Data Analysis, v. 109, p. 76-92, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2016.11.016. Acesso em: 05 nov. 2024.

    • APA

      Fujita, A., Takahashi, D. Y., Balardin, J. B., Vidal, M. C., & Sato, J. R. (2017). Correlation between graphs with an application to brain network analysis. Computational Statistics and Data Analysis, 109, 76-92. doi:10.1016/j.csda.2016.11.016

    • NLM

      Fujita A, Takahashi DY, Balardin JB, Vidal MC, Sato JR. Correlation between graphs with an application to brain network analysis [Internet]. Computational Statistics and Data Analysis. 2017 ; 109 76-92.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.csda.2016.11.016

    • Vancouver

      Fujita A, Takahashi DY, Balardin JB, Vidal MC, Sato JR. Correlation between graphs with an application to brain network analysis [Internet]. Computational Statistics and Data Analysis. 2017 ; 109 76-92.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.csda.2016.11.016

  • Artigo de periodico

    A non-parametric method to estimate the number of clusters (2014)

    Fujita, André ; Takahashi, Daniel Yasumasa ; Patriota, Alexandre Galvão

    Source: Computational Statistics & Data Analysis. Unidade: IME

    Subjects: BIOINFORMÁTICA, ESTATÍSTICA COMPUTACIONAL, ANÁLISE DE CONGLOMERADOS, ANÁLISE ESPECTRAL (ANÁLISE DE SÉRIES TEMPORAIS), HEURÍSTICA

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    • ABNT

      FUJITA, André e TAKAHASHI, Daniel Yasumasa e PATRIOTA, Alexandre Galvão. A non-parametric method to estimate the number of clusters. Computational Statistics & Data Analysis, v. 73, p. 27-39, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2013.11.012. Acesso em: 05 nov. 2024.

    • APA

      Fujita, A., Takahashi, D. Y., & Patriota, A. G. (2014). A non-parametric method to estimate the number of clusters. Computational Statistics & Data Analysis, 73, 27-39. doi:10.1016/j.csda.2013.11.012

    • NLM

      Fujita A, Takahashi DY, Patriota AG. A non-parametric method to estimate the number of clusters [Internet]. Computational Statistics & Data Analysis. 2014 ; 73 27-39.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.csda.2013.11.012

    • Vancouver

      Fujita A, Takahashi DY, Patriota AG. A non-parametric method to estimate the number of clusters [Internet]. Computational Statistics & Data Analysis. 2014 ; 73 27-39.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.csda.2013.11.012
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