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  • Source: Climate Dynamics. Unidade: IF

    Subjects: MUDANÇA CLIMÁTICA, MONÇÕES, REDES COMPLEXAS, CHUVA

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    • ABNT

      CIEMER, Catrin et al. Temporal evolution of the spatial covariability of rainfall in South America. Climate Dynamics, v. 51, n. 1–2, p. 371–382, 2018Tradução . . Disponível em: https://doi.org/10.1007/s00382-017-3929-x. Acesso em: 21 jan. 2026.
    • APA

      Ciemer, C., Boers, N., Barbosa, H. de M. J., Kurths, J., & Rammig, A. (2018). Temporal evolution of the spatial covariability of rainfall in South America. Climate Dynamics, 51( 1–2), 371–382. doi:10.1007/s00382-017-3929-x
    • NLM

      Ciemer C, Boers N, Barbosa H de MJ, Kurths J, Rammig A. Temporal evolution of the spatial covariability of rainfall in South America [Internet]. Climate Dynamics. 2018 ; 51( 1–2): 371–382.[citado 2026 jan. 21 ] Available from: https://doi.org/10.1007/s00382-017-3929-x
    • Vancouver

      Ciemer C, Boers N, Barbosa H de MJ, Kurths J, Rammig A. Temporal evolution of the spatial covariability of rainfall in South America [Internet]. Climate Dynamics. 2018 ; 51( 1–2): 371–382.[citado 2026 jan. 21 ] Available from: https://doi.org/10.1007/s00382-017-3929-x
  • Source: Abstracts. Conference titles: International Conference on Nonlinear Science and Complexity. Unidade: FFCLRP

    Subjects: SISTEMAS DINÂMICOS, APRENDIZADO COMPUTACIONAL

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    • ABNT

      LIANG, Zhao e VERRI, Filipe Alves Neto e URIO, Paulo Roberto. Features of edge-centric collective dynamics in machine learning tasks. 2016, Anais.. São José dos Campos: INPE, 2016. Disponível em: https://doi.org/10.20906/cps/nsc2016-0003. Acesso em: 21 jan. 2026.
    • APA

      Liang, Z., Verri, F. A. N., & Urio, P. R. (2016). Features of edge-centric collective dynamics in machine learning tasks. In Abstracts. São José dos Campos: INPE. doi:10.20906/cps/nsc2016-0003
    • NLM

      Liang Z, Verri FAN, Urio PR. Features of edge-centric collective dynamics in machine learning tasks [Internet]. Abstracts. 2016 ;[citado 2026 jan. 21 ] Available from: https://doi.org/10.20906/cps/nsc2016-0003
    • Vancouver

      Liang Z, Verri FAN, Urio PR. Features of edge-centric collective dynamics in machine learning tasks [Internet]. Abstracts. 2016 ;[citado 2026 jan. 21 ] Available from: https://doi.org/10.20906/cps/nsc2016-0003
  • Source: Annals. Conference titles: Brazilian Conference on Intelligent Systems (BRACIS). Unidade: FFCLRP

    Subjects: PASSEIOS ALEATÓRIOS, REDES COMPLEXAS

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    • ABNT

      VERRI, Filipe Alves Neto e LIANG, Zhao. Random walk in feature-sample networks for semi-supervised classification. 2016, Anais.. Recife: IEEE, 2016. Disponível em: https://doi.org/10.1109/bracis.2016.051. Acesso em: 21 jan. 2026.
    • APA

      Verri, F. A. N., & Liang, Z. (2016). Random walk in feature-sample networks for semi-supervised classification. In Annals. Recife: IEEE. doi:10.1109/bracis.2016.051
    • NLM

      Verri FAN, Liang Z. Random walk in feature-sample networks for semi-supervised classification [Internet]. Annals. 2016 ;[citado 2026 jan. 21 ] Available from: https://doi.org/10.1109/bracis.2016.051
    • Vancouver

      Verri FAN, Liang Z. Random walk in feature-sample networks for semi-supervised classification [Internet]. Annals. 2016 ;[citado 2026 jan. 21 ] Available from: https://doi.org/10.1109/bracis.2016.051

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