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Filtros : "Financiamento DFG" "REDES COMPLEXAS" Removido: "Basei, Miguel Angelo Stipp" Limpar

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  • Artigo de periodico

    A machine learning approach to predicting dynamical observables from network structure (2024)

    Rodrigues, Francisco Aparecido ; Peron, Thomas ; Connaughton, Colm ; Kurths, Jürgen ; Moreno, Yamir

    Fonte: Proceedings of the Royal Society A. Unidade: ICMC

    Assuntos: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, SISTEMAS DINÂMICOS

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      RODRIGUES, Francisco Aparecido et al. A machine learning approach to predicting dynamical observables from network structure. Proceedings of the Royal Society A, v. 481, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1098/rspa.2024.0435. Acesso em: 03 nov. 2025.

    • APA

      Rodrigues, F. A., Peron, T., Connaughton, C., Kurths, J., & Moreno, Y. (2024). A machine learning approach to predicting dynamical observables from network structure. Proceedings of the Royal Society A, 481, 1-12. doi:10.1098/rspa.2024.0435

    • NLM

      Rodrigues FA, Peron T, Connaughton C, Kurths J, Moreno Y. A machine learning approach to predicting dynamical observables from network structure [Internet]. Proceedings of the Royal Society A. 2024 ; 481 1-12.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1098/rspa.2024.0435

    • Vancouver

      Rodrigues FA, Peron T, Connaughton C, Kurths J, Moreno Y. A machine learning approach to predicting dynamical observables from network structure [Internet]. Proceedings of the Royal Society A. 2024 ; 481 1-12.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1098/rspa.2024.0435

  • Artigo de periodico

    Clustered and deep echo state networks for signal noise reduction (2022)

    Oliveira Junior, Laercio de; Stelzer, Florian; Liang, Zhao

    Fonte: Machine Learning. Unidade: FFCLRP

    Assuntos: REDES COMPLEXAS, REDES NEURAIS, SISTEMAS DINÂMICOS

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      OLIVEIRA JUNIOR, Laercio de e STELZER, Florian e LIANG, Zhao. Clustered and deep echo state networks for signal noise reduction. Machine Learning, v. 111, n. 8, p. 2885-2904, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10994-022-06135-6. Acesso em: 03 nov. 2025.

    • APA

      Oliveira Junior, L. de, Stelzer, F., & Liang, Z. (2022). Clustered and deep echo state networks for signal noise reduction. Machine Learning, 111( 8), 2885-2904. doi:10.1007/s10994-022-06135-6

    • NLM

      Oliveira Junior L de, Stelzer F, Liang Z. Clustered and deep echo state networks for signal noise reduction [Internet]. Machine Learning. 2022 ; 111( 8): 2885-2904.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1007/s10994-022-06135-6

    • Vancouver

      Oliveira Junior L de, Stelzer F, Liang Z. Clustered and deep echo state networks for signal noise reduction [Internet]. Machine Learning. 2022 ; 111( 8): 2885-2904.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1007/s10994-022-06135-6

  • Artigo de periodico

    The impact of chaotic saddles on the synchronization of complex networks of discrete-time units (2021)

    Medeiros, Everton ; Medrano-T, Rene O.; Caldas, Iberê Luiz ; Feudel, Ulrike

    Fonte: Journal of Physics: Complexity. Unidade: IF

    Assuntos: CAOS (SISTEMAS DINÂMICOS), SISTEMAS DINÂMICOS (FÍSICA MATEMÁTICA), REDES COMPLEXAS

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      MEDEIROS, Everton et al. The impact of chaotic saddles on the synchronization of complex networks of discrete-time units. Journal of Physics: Complexity, v. 2, n. 3, 2021Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/abedc2. Acesso em: 03 nov. 2025.

    • APA

      Medeiros, E., Medrano-T, R. O., Caldas, I. L., & Feudel, U. (2021). The impact of chaotic saddles on the synchronization of complex networks of discrete-time units. Journal of Physics: Complexity, 2( 3). doi:10.1088/2632-072X/abedc2

    • NLM

      Medeiros E, Medrano-T RO, Caldas IL, Feudel U. The impact of chaotic saddles on the synchronization of complex networks of discrete-time units [Internet]. Journal of Physics: Complexity. 2021 ; 2( 3):[citado 2025 nov. 03 ] Available from: https://doi.org/10.1088/2632-072X/abedc2

    • Vancouver

      Medeiros E, Medrano-T RO, Caldas IL, Feudel U. The impact of chaotic saddles on the synchronization of complex networks of discrete-time units [Internet]. Journal of Physics: Complexity. 2021 ; 2( 3):[citado 2025 nov. 03 ] Available from: https://doi.org/10.1088/2632-072X/abedc2

  • Artigo de periodico

    Network community detection via iterative edge removal in a flocking-like system (2021)

    Verri, Filipe Alves Neto ; Gueleri, Roberto Alves ; Qiusheng, Zheng; Junbao, Zhang; Liang, Zhao

    Fonte: European Physical Journal - Special Topics. Unidades: FFCLRP, ICMC

    Assuntos: REDES COMPLEXAS, SISTEMAS DINÂMICOS, ALGORITMOS ÚTEIS E ESPECÍFICOS

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      VERRI, Filipe Alves Neto et al. Network community detection via iterative edge removal in a flocking-like system. European Physical Journal - Special Topics, v. 230, n. 14-15, p. 2843-2855, 2021Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00154-5. Acesso em: 03 nov. 2025.

    • APA

      Verri, F. A. N., Gueleri, R. A., Qiusheng, Z., Junbao, Z., & Liang, Z. (2021). Network community detection via iterative edge removal in a flocking-like system. European Physical Journal - Special Topics, 230( 14-15), 2843-2855. doi:10.1140/epjs/s11734-021-00154-5

    • NLM

      Verri FAN, Gueleri RA, Qiusheng Z, Junbao Z, Liang Z. Network community detection via iterative edge removal in a flocking-like system [Internet]. European Physical Journal - Special Topics. 2021 ; 230( 14-15): 2843-2855.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00154-5

    • Vancouver

      Verri FAN, Gueleri RA, Qiusheng Z, Junbao Z, Liang Z. Network community detection via iterative edge removal in a flocking-like system [Internet]. European Physical Journal - Special Topics. 2021 ; 230( 14-15): 2843-2855.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00154-5

  • Artigo de periodico

    A review and comparative analysis of coarsening algorithms on bipartite networks (2021)

    Valejo, Alan Demetrius Baria ; Santos, Wellington de Oliveira dos; Naldi, Murilo Coelho ; Liang, Zhao

    Fonte: The European Physical Journal Special Topics. Unidade: FFCLRP

    Assuntos: ALGORITMOS, APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS

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    • ABNT

      VALEJO, Alan Demetrius Baria et al. A review and comparative analysis of coarsening algorithms on bipartite networks. The European Physical Journal Special Topics, v. 230, n. 14-15, p. 2801 - 2811, 2021Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00159-0. Acesso em: 03 nov. 2025.

    • APA

      Valejo, A. D. B., Santos, W. de O. dos, Naldi, M. C., & Liang, Z. (2021). A review and comparative analysis of coarsening algorithms on bipartite networks. The European Physical Journal Special Topics, 230( 14-15), 2801 - 2811. doi:10.1140/epjs/s11734-021-00159-0

    • NLM

      Valejo ADB, Santos W de O dos, Naldi MC, Liang Z. A review and comparative analysis of coarsening algorithms on bipartite networks [Internet]. The European Physical Journal Special Topics. 2021 ; 230( 14-15): 2801 - 2811.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00159-0

    • Vancouver

      Valejo ADB, Santos W de O dos, Naldi MC, Liang Z. A review and comparative analysis of coarsening algorithms on bipartite networks [Internet]. The European Physical Journal Special Topics. 2021 ; 230( 14-15): 2801 - 2811.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00159-0

  • Artigo de periodico

    Time series pattern identification by hierarchical community detection (2021)

    Anghinoni, Leandro ; Vega-Oliveros, Didier Augusto ; Silva, Thiago Christiano ; Liang, Zhao

    Fonte: European Physical Journal - Special Topics. Unidades: FFCLRP, ICMC

    Assuntos: REDES COMPLEXAS, ANÁLISE DE SÉRIES TEMPORAIS, RECONHECIMENTO DE PADRÕES

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      ANGHINONI, Leandro et al. Time series pattern identification by hierarchical community detection. European Physical Journal - Special Topics, v. 230, n. 14-15, p. 2775-2782, 2021Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00163-4. Acesso em: 03 nov. 2025.

    • APA

      Anghinoni, L., Vega-Oliveros, D. A., Silva, T. C., & Liang, Z. (2021). Time series pattern identification by hierarchical community detection. European Physical Journal - Special Topics, 230( 14-15), 2775-2782. doi:10.1140/epjs/s11734-021-00163-4

    • NLM

      Anghinoni L, Vega-Oliveros DA, Silva TC, Liang Z. Time series pattern identification by hierarchical community detection [Internet]. European Physical Journal - Special Topics. 2021 ; 230( 14-15): 2775-2782.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00163-4

    • Vancouver

      Anghinoni L, Vega-Oliveros DA, Silva TC, Liang Z. Time series pattern identification by hierarchical community detection [Internet]. European Physical Journal - Special Topics. 2021 ; 230( 14-15): 2775-2782.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00163-4

  • Artigo de periodico

    Dynamical phenomena in complex networks: fundamentals and applications (2021)

    Yanchuk, Serhiy; Roque, Antônio Carlos ; Macau, Elbert E. N.; Kurths, Jürgen

    Fonte: The European Physical Journal Special Topics. Unidade: FFCLRP

    Assuntos: REDES COMPLEXAS, NEUROCIÊNCIAS, PROCESSOS ESTOCÁSTICOS

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      YANCHUK, Serhiy et al. Dynamical phenomena in complex networks: fundamentals and applications. The European Physical Journal Special Topics, v. 230, p. 2711-2716, 2021Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00282-y. Acesso em: 03 nov. 2025.

    • APA

      Yanchuk, S., Roque, A. C., Macau, E. E. N., & Kurths, J. (2021). Dynamical phenomena in complex networks: fundamentals and applications. The European Physical Journal Special Topics, 230, 2711-2716. doi:10.1140/epjs/s11734-021-00282-y

    • NLM

      Yanchuk S, Roque AC, Macau EEN, Kurths J. Dynamical phenomena in complex networks: fundamentals and applications [Internet]. The European Physical Journal Special Topics. 2021 ; 230 2711-2716.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00282-y

    • Vancouver

      Yanchuk S, Roque AC, Macau EEN, Kurths J. Dynamical phenomena in complex networks: fundamentals and applications [Internet]. The European Physical Journal Special Topics. 2021 ; 230 2711-2716.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00282-y
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