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Filtros : "Financiamento FAPESP" "Indexado no Web of Science" "Chaos, Solitons and Fractals" Limpar

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1 - 6 (6 records)

  • Artigo de periodico

    New lower bound for the Hilbert number in low degree Kolmogorov systems (2023)

    Carvalho, Yagor Romano ; Cruz, Leonardo Pereira Costa da ; Gouveia, Luiz Fernando da Silva

    Source: Chaos, Solitons and Fractals. Unidade: ICMC

    Subjects: TEORIA QUALITATIVA, TEORIA DA BIFURCAÇÃO, SISTEMAS DINÂMICOS

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    • ABNT

      CARVALHO, Yagor Romano e CRUZ, Leonardo Pereira Costa da e GOUVEIA, Luiz Fernando da Silva. New lower bound for the Hilbert number in low degree Kolmogorov systems. Chaos, Solitons and Fractals, v. 175, p. 1-9, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2023.113937. Acesso em: 08 out. 2025.

    • APA

      Carvalho, Y. R., Cruz, L. P. C. da, & Gouveia, L. F. da S. (2023). New lower bound for the Hilbert number in low degree Kolmogorov systems. Chaos, Solitons and Fractals, 175, 1-9. doi:10.1016/j.chaos.2023.113937

    • NLM

      Carvalho YR, Cruz LPC da, Gouveia LF da S. New lower bound for the Hilbert number in low degree Kolmogorov systems [Internet]. Chaos, Solitons and Fractals. 2023 ; 175 1-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2023.113937

    • Vancouver

      Carvalho YR, Cruz LPC da, Gouveia LF da S. New lower bound for the Hilbert number in low degree Kolmogorov systems [Internet]. Chaos, Solitons and Fractals. 2023 ; 175 1-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2023.113937

  • Artigo de periodico

    Interspecific competition shapes the structural stability of mutualistic networks (2023)

    Wang, Xiangrong ; Peron, Thomas ; Dubbeldam, Johan L. A ; Kéfi, Sonia ; Moreno, Yamir

    Source: Chaos, Solitons and Fractals. Unidade: ICMC

    Subjects: MUTUALISMO (BIOLOGIA), COMPETIÇÃO, ESTABILIDADE ESTRUTURAL, ANÁLISE NUMÉRICA APLICADA

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    • ABNT

      WANG, Xiangrong et al. Interspecific competition shapes the structural stability of mutualistic networks. Chaos, Solitons and Fractals, v. 172, p. 1-9, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2023.113507. Acesso em: 08 out. 2025.

    • APA

      Wang, X., Peron, T., Dubbeldam, J. L. A., Kéfi, S., & Moreno, Y. (2023). Interspecific competition shapes the structural stability of mutualistic networks. Chaos, Solitons and Fractals, 172, 1-9. doi:10.1016/j.chaos.2023.113507

    • NLM

      Wang X, Peron T, Dubbeldam JLA, Kéfi S, Moreno Y. Interspecific competition shapes the structural stability of mutualistic networks [Internet]. Chaos, Solitons and Fractals. 2023 ; 172 1-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2023.113507

    • Vancouver

      Wang X, Peron T, Dubbeldam JLA, Kéfi S, Moreno Y. Interspecific competition shapes the structural stability of mutualistic networks [Internet]. Chaos, Solitons and Fractals. 2023 ; 172 1-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2023.113507

  • Artigo de periodico

    Forecasting new diseases in low-data settings using transfer learning (2022)

    Roster, Kirstin ; Connaughton, Colm ; Rodrigues, Francisco Aparecido

    Source: Chaos, Solitons and Fractals. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, COVID-19, ZIKA VÍRUS, TOMADA DE DECISÃO, SURTOS DE DOENÇAS

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    • ABNT

      ROSTER, Kirstin e CONNAUGHTON, Colm e RODRIGUES, Francisco Aparecido. Forecasting new diseases in low-data settings using transfer learning. Chaos, Solitons and Fractals, v. 161, p. 1-8, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2022.112306. Acesso em: 08 out. 2025.

    • APA

      Roster, K., Connaughton, C., & Rodrigues, F. A. (2022). Forecasting new diseases in low-data settings using transfer learning. Chaos, Solitons and Fractals, 161, 1-8. doi:10.1016/j.chaos.2022.112306

    • NLM

      Roster K, Connaughton C, Rodrigues FA. Forecasting new diseases in low-data settings using transfer learning [Internet]. Chaos, Solitons and Fractals. 2022 ; 161 1-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2022.112306

    • Vancouver

      Roster K, Connaughton C, Rodrigues FA. Forecasting new diseases in low-data settings using transfer learning [Internet]. Chaos, Solitons and Fractals. 2022 ; 161 1-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2022.112306

  • Artigo de periodico

    Statistical properties of mutualistic-competitive random networks (2021)

    Martínez-Martínez, C. T; Méndez-Bermúdez, J. A ; Peron, Thomas ; Moreno, Yamir

    Source: Chaos, Solitons and Fractals. Unidade: ICMC

    Subjects: REDES COMPLEXAS, MATRIZES

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    • ABNT

      MARTÍNEZ-MARTÍNEZ, C. T et al. Statistical properties of mutualistic-competitive random networks. Chaos, Solitons and Fractals, v. 153, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111504. Acesso em: 08 out. 2025.

    • APA

      Martínez-Martínez, C. T., Méndez-Bermúdez, J. A., Peron, T., & Moreno, Y. (2021). Statistical properties of mutualistic-competitive random networks. Chaos, Solitons and Fractals, 153, 1-11. doi:10.1016/j.chaos.2021.111504

    • NLM

      Martínez-Martínez CT, Méndez-Bermúdez JA, Peron T, Moreno Y. Statistical properties of mutualistic-competitive random networks [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-11.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2021.111504

    • Vancouver

      Martínez-Martínez CT, Méndez-Bermúdez JA, Peron T, Moreno Y. Statistical properties of mutualistic-competitive random networks [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-11.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2021.111504

  • Artigo de periodico

    Dynamic graph in a symbolic data framework: an account of the causal relation using COVID-19 reports and some reflections on the financial world (2021)

    Nascimento, Diego Carvalho do ; Pimentel, Bruno Almeida ; Souza, Renata M. C. R; Costa, Lilia; Gonçalves, Sandro; Louzada, Francisco

    Source: Chaos, Solitons and Fractals. Unidade: ICMC

    Subjects: INFERÊNCIA ESTATÍSTICA, ANÁLISE DE DADOS, COVID-19

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    • ABNT

      NASCIMENTO, Diego Carvalho do et al. Dynamic graph in a symbolic data framework: an account of the causal relation using COVID-19 reports and some reflections on the financial world. Chaos, Solitons and Fractals, v. 153, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111440. Acesso em: 08 out. 2025.

    • APA

      Nascimento, D. C. do, Pimentel, B. A., Souza, R. M. C. R., Costa, L., Gonçalves, S., & Louzada, F. (2021). Dynamic graph in a symbolic data framework: an account of the causal relation using COVID-19 reports and some reflections on the financial world. Chaos, Solitons and Fractals, 153, 1-14. doi:10.1016/j.chaos.2021.111440

    • NLM

      Nascimento DC do, Pimentel BA, Souza RMCR, Costa L, Gonçalves S, Louzada F. Dynamic graph in a symbolic data framework: an account of the causal relation using COVID-19 reports and some reflections on the financial world [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-14.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2021.111440

    • Vancouver

      Nascimento DC do, Pimentel BA, Souza RMCR, Costa L, Gonçalves S, Louzada F. Dynamic graph in a symbolic data framework: an account of the causal relation using COVID-19 reports and some reflections on the financial world [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-14.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2021.111440

  • Artigo de periodico

    The drivers of systemic risk in financial networks: a data-driven machine learning analysis (2021)

    Alexandre, Michel ; Silva, Thiago Christiano ; Connaughton, Colm ; Rodrigues, Francisco Aparecido

    Source: Chaos, Solitons and Fractals. Unidade: ICMC

    Subjects: REDES COMPLEXAS, INSTITUIÇÕES FINANCEIRAS, RISCO (SEGURO)

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    • ABNT

      ALEXANDRE, Michel et al. The drivers of systemic risk in financial networks: a data-driven machine learning analysis. Chaos, Solitons and Fractals, v. 153, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111588. Acesso em: 08 out. 2025.

    • APA

      Alexandre, M., Silva, T. C., Connaughton, C., & Rodrigues, F. A. (2021). The drivers of systemic risk in financial networks: a data-driven machine learning analysis. Chaos, Solitons and Fractals, 153, 1-11. doi:10.1016/j.chaos.2021.111588

    • NLM

      Alexandre M, Silva TC, Connaughton C, Rodrigues FA. The drivers of systemic risk in financial networks: a data-driven machine learning analysis [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-11.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2021.111588

    • Vancouver

      Alexandre M, Silva TC, Connaughton C, Rodrigues FA. The drivers of systemic risk in financial networks: a data-driven machine learning analysis [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-11.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2021.111588
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