Filtros : "REDES COMPLEXAS" "Produção científica" Removidos: " GRU015" "Miranda, Willian Mulia" Limpar

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  • Source: Chaos, Solitons and Fractals. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, FÍSICA COMPUTACIONAL, REDES COMPLEXAS

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      BENATTI, Alexandre e COSTA, Luciano da Fontoura. On the transient and equilibrium features of growing fractal complex networks. Chaos, Solitons and Fractals, v. 183, p. 114904-1-114904-7, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2024.114904. Acesso em: 12 out. 2024.
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      Benatti, A., & Costa, L. da F. (2024). On the transient and equilibrium features of growing fractal complex networks. Chaos, Solitons and Fractals, 183, 114904-1-114904-7. doi:10.1016/j.chaos.2024.114904
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      Benatti A, Costa L da F. On the transient and equilibrium features of growing fractal complex networks [Internet]. Chaos, Solitons and Fractals. 2024 ; 183 114904-1-114904-7.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.chaos.2024.114904
    • Vancouver

      Benatti A, Costa L da F. On the transient and equilibrium features of growing fractal complex networks [Internet]. Chaos, Solitons and Fractals. 2024 ; 183 114904-1-114904-7.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.chaos.2024.114904
  • Source: IEEE Transactions on Network Science and Engineering. Unidades: FFCLRP, ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, DESCOBERTA DE CONHECIMENTO, ALGORITMOS ÚTEIS E ESPECÍFICOS, REDES COMPLEXAS

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      VALEJO, Alan Demetrius Baria et al. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks. IEEE Transactions on Network Science and Engineering, v. 11, n. 2, p. 1799-1809, 2024Tradução . . Disponível em: https://doi.org/10.1109/TNSE.2023.3331655. Acesso em: 12 out. 2024.
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      Valejo, A. D. B., Althoff, P. E., Faleiros, T. de P., Rocha Filho, G. P., Yu-Tao, Z., Jianglong, Y., et al. (2024). Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks. IEEE Transactions on Network Science and Engineering, 11( 2), 1799-1809. doi:10.1109/TNSE.2023.3331655
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      Valejo ADB, Althoff PE, Faleiros T de P, Rocha Filho GP, Yu-Tao Z, Jianglong Y, Weiguang L, Liang Z. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks [Internet]. IEEE Transactions on Network Science and Engineering. 2024 ; 11( 2): 1799-1809.[citado 2024 out. 12 ] Available from: https://doi.org/10.1109/TNSE.2023.3331655
    • Vancouver

      Valejo ADB, Althoff PE, Faleiros T de P, Rocha Filho GP, Yu-Tao Z, Jianglong Y, Weiguang L, Liang Z. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks [Internet]. IEEE Transactions on Network Science and Engineering. 2024 ; 11( 2): 1799-1809.[citado 2024 out. 12 ] Available from: https://doi.org/10.1109/TNSE.2023.3331655
  • Source: Physica A. Unidades: IFSC, ICMC

    Subjects: REDES NEURAIS, RECONHECIMENTO DE PADRÕES, APRENDIZAGEM PROFUNDA, REDES COMPLEXAS, TEXTURA

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      RIBAS, Lucas Correia et al. Color-texture classification based on spatio-spectral complex network representations. Physica A, v. 635, p. 129518-1-129518-15, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2024.129518. Acesso em: 12 out. 2024.
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      Ribas, L. C., Scabini, L. F. dos S., Condori, R. H. M., & Bruno, O. M. (2024). Color-texture classification based on spatio-spectral complex network representations. Physica A, 635, 129518-1-129518-15. doi:10.1016/j.physa.2024.129518
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      Ribas LC, Scabini LF dos S, Condori RHM, Bruno OM. Color-texture classification based on spatio-spectral complex network representations [Internet]. Physica A. 2024 ; 635 129518-1-129518-15.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.physa.2024.129518
    • Vancouver

      Ribas LC, Scabini LF dos S, Condori RHM, Bruno OM. Color-texture classification based on spatio-spectral complex network representations [Internet]. Physica A. 2024 ; 635 129518-1-129518-15.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.physa.2024.129518
  • Source: Knowledge and Information Systems. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), REDES COMPLEXAS, MERCADO FINANCEIRO

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      CASTILHO, Douglas et al. Forecasting financial market structure from network features using machine learning. Knowledge and Information Systems, v. 66, n. 8, p. 4497-4525, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10115-024-02095-6. Acesso em: 12 out. 2024.
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      Castilho, D., Souza, T. T. P., Kang, S. M., Gama, J., & Carvalho, A. C. P. de L. F. de. (2024). Forecasting financial market structure from network features using machine learning. Knowledge and Information Systems, 66( 8), 4497-4525. doi:10.1007/s10115-024-02095-6
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      Castilho D, Souza TTP, Kang SM, Gama J, Carvalho ACP de LF de. Forecasting financial market structure from network features using machine learning [Internet]. Knowledge and Information Systems. 2024 ; 66( 8): 4497-4525.[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/s10115-024-02095-6
    • Vancouver

      Castilho D, Souza TTP, Kang SM, Gama J, Carvalho ACP de LF de. Forecasting financial market structure from network features using machine learning [Internet]. Knowledge and Information Systems. 2024 ; 66( 8): 4497-4525.[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/s10115-024-02095-6
  • Source: Journal of Physics : Complexity. Unidade: ICMC

    Subjects: REDES COMPLEXAS, COMÉRCIO INTERNACIONAL

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      SILVA, Thiago Christiano e WILHELM, Paulo Victor Berri e AMANCIO, Diego Raphael. Interconnectivity disrupted by fading globalization: a network approach to recent international trade developments. Journal of Physics : Complexity, v. 5, p. 1-19, 2024Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ad4dfc. Acesso em: 12 out. 2024.
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      Silva, T. C., Wilhelm, P. V. B., & Amancio, D. R. (2024). Interconnectivity disrupted by fading globalization: a network approach to recent international trade developments. Journal of Physics : Complexity, 5, 1-19. doi:10.1088/2632-072X/ad4dfc
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      Silva TC, Wilhelm PVB, Amancio DR. Interconnectivity disrupted by fading globalization: a network approach to recent international trade developments [Internet]. Journal of Physics : Complexity. 2024 ; 5 1-19.[citado 2024 out. 12 ] Available from: https://doi.org/10.1088/2632-072X/ad4dfc
    • Vancouver

      Silva TC, Wilhelm PVB, Amancio DR. Interconnectivity disrupted by fading globalization: a network approach to recent international trade developments [Internet]. Journal of Physics : Complexity. 2024 ; 5 1-19.[citado 2024 out. 12 ] Available from: https://doi.org/10.1088/2632-072X/ad4dfc
  • Source: Scientometrics. Unidade: ICMC

    Subjects: REDES COMPLEXAS, PROCESSAMENTO DE LINGUAGEM NATURAL

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      TOHALINO, Jorge Andoni Valverde e SILVA, Thiago Christiano e AMANCIO, Diego Raphael. Using word embedding to detect keywords in texts modeled as complex networks. Scientometrics, v. 129, n. 7, p. 3599-3623, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11192-024-05055-7. Acesso em: 12 out. 2024.
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      Tohalino, J. A. V., Silva, T. C., & Amancio, D. R. (2024). Using word embedding to detect keywords in texts modeled as complex networks. Scientometrics, 129( 7), 3599-3623. doi:10.1007/s11192-024-05055-7
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      Tohalino JAV, Silva TC, Amancio DR. Using word embedding to detect keywords in texts modeled as complex networks [Internet]. Scientometrics. 2024 ; 129( 7): 3599-3623.[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/s11192-024-05055-7
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      Tohalino JAV, Silva TC, Amancio DR. Using word embedding to detect keywords in texts modeled as complex networks [Internet]. Scientometrics. 2024 ; 129( 7): 3599-3623.[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/s11192-024-05055-7
  • Source: Physica A : statistical mechanics and its applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS, COMÉRCIO INTERNACIONAL

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      SILVA, Thiago Christiano e WILHELM, Paulo Victor Berri e AMANCIO, Diego Raphael. Machine learning and economic forecasting: the role of international trade networks. Physica A : statistical mechanics and its applications, v. 649, p. 1-22, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2024.129977. Acesso em: 12 out. 2024.
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      Silva, T. C., Wilhelm, P. V. B., & Amancio, D. R. (2024). Machine learning and economic forecasting: the role of international trade networks. Physica A : statistical mechanics and its applications, 649, 1-22. doi:10.1016/j.physa.2024.129977
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      Silva TC, Wilhelm PVB, Amancio DR. Machine learning and economic forecasting: the role of international trade networks [Internet]. Physica A : statistical mechanics and its applications. 2024 ; 649 1-22.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.physa.2024.129977
    • Vancouver

      Silva TC, Wilhelm PVB, Amancio DR. Machine learning and economic forecasting: the role of international trade networks [Internet]. Physica A : statistical mechanics and its applications. 2024 ; 649 1-22.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.physa.2024.129977
  • Source: Diabetology & Metabolic Syndrome. Unidades: ICMC, FM

    Subjects: REDES COMPLEXAS, RESISTÊNCIA À INSULINA, ADOLESCENTES

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      ALVES-COSTA, Silas et al. High free sugars, insulin resistance, and low socioeconomic indicators: the hubs in the complex network of non-communicable diseases in adolescents. Diabetology & Metabolic Syndrome, v. 16, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.1186/s13098-024-01469-8. Acesso em: 12 out. 2024.
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      Alves-Costa, S., Souza, B. F. de, Rodrigues, F. A., Ferraro, A. A., Nascimento, G. G., Leite, F. R. M., et al. (2024). High free sugars, insulin resistance, and low socioeconomic indicators: the hubs in the complex network of non-communicable diseases in adolescents. Diabetology & Metabolic Syndrome, 16, 1-13. doi:10.1186/s13098-024-01469-8
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      Alves-Costa S, Souza BF de, Rodrigues FA, Ferraro AA, Nascimento GG, Leite FRM, Ladeira LLC, Batista RFL, Thomaz EBAF, Alves CMC, Ribeiro CCC. High free sugars, insulin resistance, and low socioeconomic indicators: the hubs in the complex network of non-communicable diseases in adolescents [Internet]. Diabetology & Metabolic Syndrome. 2024 ; 16 1-13.[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/s13098-024-01469-8
    • Vancouver

      Alves-Costa S, Souza BF de, Rodrigues FA, Ferraro AA, Nascimento GG, Leite FRM, Ladeira LLC, Batista RFL, Thomaz EBAF, Alves CMC, Ribeiro CCC. High free sugars, insulin resistance, and low socioeconomic indicators: the hubs in the complex network of non-communicable diseases in adolescents [Internet]. Diabetology & Metabolic Syndrome. 2024 ; 16 1-13.[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/s13098-024-01469-8
  • Source: Research in International Business and Finance. Unidade: FEA

    Subjects: RESSEGURO, RISCO (SEGURO), REDES COMPLEXAS

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      CARVALHO, João Vinicius de França e GUIMARÂES, Acássio Silva. Systemic risk assessment using complex networks approach: evidence from the Brazilian (re)insurance market. Research in International Business and Finance, v. 67, n. Ja 2024, 2024Tradução . . Disponível em: https://www.sciencedirect.com/science/article/pii/S0275531923001915. Acesso em: 12 out. 2024.
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      Carvalho, J. V. de F., & Guimarâes, A. S. (2024). Systemic risk assessment using complex networks approach: evidence from the Brazilian (re)insurance market. Research in International Business and Finance, 67( Ja 2024). doi:10.1016/j.ribaf.2023.102065
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      Carvalho JV de F, Guimarâes AS. Systemic risk assessment using complex networks approach: evidence from the Brazilian (re)insurance market [Internet]. Research in International Business and Finance. 2024 ; 67( Ja 2024):[citado 2024 out. 12 ] Available from: https://www.sciencedirect.com/science/article/pii/S0275531923001915
    • Vancouver

      Carvalho JV de F, Guimarâes AS. Systemic risk assessment using complex networks approach: evidence from the Brazilian (re)insurance market [Internet]. Research in International Business and Finance. 2024 ; 67( Ja 2024):[citado 2024 out. 12 ] Available from: https://www.sciencedirect.com/science/article/pii/S0275531923001915
  • Source: Physics of Life Reviews. Unidade: ICMC

    Subjects: REDES COMPLEXAS, CÉREBRO

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      PERON, Thomas. The networkness of the brain: comment on “Does the brain behave like a (complex) network? I. Dynamics” by Papo and Buldú. Physics of Life Reviews, v. 49, p. 71-73, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.plrev.2023.12.006. Acesso em: 12 out. 2024.
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      Peron, T. (2024). The networkness of the brain: comment on “Does the brain behave like a (complex) network? I. Dynamics” by Papo and Buldú. Physics of Life Reviews, 49, 71-73. doi:10.1016/j.plrev.2024.03.005
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      Peron T. The networkness of the brain: comment on “Does the brain behave like a (complex) network? I. Dynamics” by Papo and Buldú [Internet]. Physics of Life Reviews. 2024 ; 49 71-73.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.plrev.2023.12.006
    • Vancouver

      Peron T. The networkness of the brain: comment on “Does the brain behave like a (complex) network? I. Dynamics” by Papo and Buldú [Internet]. Physics of Life Reviews. 2024 ; 49 71-73.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.plrev.2023.12.006
  • Source: Pattern Recognition. Unidade: IFSC

    Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA, RECONHECIMENTO DE PADRÕES

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      RIBAS, Lucas Correia e BRUNO, Odemir Martinez. Learning a complex network representation for shape classification. Pattern Recognition, v. 154, p. 110566-1-110566-10 + supplementary data, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2024.110566. Acesso em: 12 out. 2024.
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      Ribas, L. C., & Bruno, O. M. (2024). Learning a complex network representation for shape classification. Pattern Recognition, 154, 110566-1-110566-10 + supplementary data. doi:10.1016/j.patcog.2024.110566
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      Ribas LC, Bruno OM. Learning a complex network representation for shape classification [Internet]. Pattern Recognition. 2024 ; 154 110566-1-110566-10 + supplementary data.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.patcog.2024.110566
    • Vancouver

      Ribas LC, Bruno OM. Learning a complex network representation for shape classification [Internet]. Pattern Recognition. 2024 ; 154 110566-1-110566-10 + supplementary data.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.patcog.2024.110566
  • Source: PLoS ONE. Unidade: ICMC

    Assunto: REDES COMPLEXAS

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      GUERREIRO, Lucas e SILVA, Filipi Nascimento e AMANCIO, Diego Raphael. Identifying the perceived local properties of networks reconstructed from biased random walks. PLoS ONE, v. 19, n. 1, p. 1-18, 2024Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0296088. Acesso em: 12 out. 2024.
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      Guerreiro, L., Silva, F. N., & Amancio, D. R. (2024). Identifying the perceived local properties of networks reconstructed from biased random walks. PLoS ONE, 19( 1), 1-18. doi:10.1371/journal.pone.0296088
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      Guerreiro L, Silva FN, Amancio DR. Identifying the perceived local properties of networks reconstructed from biased random walks [Internet]. PLoS ONE. 2024 ; 19( 1): 1-18.[citado 2024 out. 12 ] Available from: https://doi.org/10.1371/journal.pone.0296088
    • Vancouver

      Guerreiro L, Silva FN, Amancio DR. Identifying the perceived local properties of networks reconstructed from biased random walks [Internet]. PLoS ONE. 2024 ; 19( 1): 1-18.[citado 2024 out. 12 ] Available from: https://doi.org/10.1371/journal.pone.0296088
  • Source: Physica A : statistical mechanics and its applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS, HEURÍSTICA

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      GUERREIRO, Lucas e SILVA, Filipi Nascimento e AMANCIO, Diego Raphael. Recovering network topology and dynamics from sequences: a machine learning approach. Physica A : statistical mechanics and its applications, v. 638, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2024.129618. Acesso em: 12 out. 2024.
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      Guerreiro, L., Silva, F. N., & Amancio, D. R. (2024). Recovering network topology and dynamics from sequences: a machine learning approach. Physica A : statistical mechanics and its applications, 638, 1-13. doi:10.1016/j.physa.2024.129618
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      Guerreiro L, Silva FN, Amancio DR. Recovering network topology and dynamics from sequences: a machine learning approach [Internet]. Physica A : statistical mechanics and its applications. 2024 ; 638 1-13.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.physa.2024.129618
    • Vancouver

      Guerreiro L, Silva FN, Amancio DR. Recovering network topology and dynamics from sequences: a machine learning approach [Internet]. Physica A : statistical mechanics and its applications. 2024 ; 638 1-13.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.physa.2024.129618
  • Source: Expert Systems With Applications. Unidade: ICMC

    Subjects: MERCADO FINANCEIRO, REDES COMPLEXAS, AÇÕES

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      GARCIA, Rodrigo Dutra et al. An automated decision-making system employing complex networks and blockchain for the decentralized stock market. Expert Systems With Applications, v. 257, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2024.125131. Acesso em: 12 out. 2024.
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      Garcia, R. D., Ferreira, J. C., Zanotti, L., Ramachandran, G., Estrella, J. C., & Ueyama, J. (2024). An automated decision-making system employing complex networks and blockchain for the decentralized stock market. Expert Systems With Applications, 257, 1-12. doi:10.1016/j.eswa.2024.125131
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      Garcia RD, Ferreira JC, Zanotti L, Ramachandran G, Estrella JC, Ueyama J. An automated decision-making system employing complex networks and blockchain for the decentralized stock market [Internet]. Expert Systems With Applications. 2024 ; 257 1-12.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.eswa.2024.125131
    • Vancouver

      Garcia RD, Ferreira JC, Zanotti L, Ramachandran G, Estrella JC, Ueyama J. An automated decision-making system employing complex networks and blockchain for the decentralized stock market [Internet]. Expert Systems With Applications. 2024 ; 257 1-12.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.eswa.2024.125131
  • Source: Anais. Conference titles: Simpósio Brasileiro de Computação Aplicada à Saúde - SBCAS. Unidades: IFSC, IME

    Subjects: SISTEMA ÚNICO DE SAÚDE, POLÍTICA DE SAÚDE, REDES COMPLEXAS

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      PEREIRA, Gabriely Rangel e COSTA, Luciano da Fontoura e KON, Fábio. Análise e visualização do processo de regionalização do tema Único de Saúde (SUS): uma perspectiva em sistemas complexos. 2023, Anais.. Porto Alegre: SBC, 2023. Disponível em: https://doi.org/10.5753/sbcas_estendido.2023.229367. Acesso em: 12 out. 2024.
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      Pereira, G. R., Costa, L. da F., & Kon, F. (2023). Análise e visualização do processo de regionalização do tema Único de Saúde (SUS): uma perspectiva em sistemas complexos. In Anais. Porto Alegre: SBC. doi:10.5753/sbcas_estendido.2023.229367
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      Pereira GR, Costa L da F, Kon F. Análise e visualização do processo de regionalização do tema Único de Saúde (SUS): uma perspectiva em sistemas complexos [Internet]. Anais. 2023 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.5753/sbcas_estendido.2023.229367
    • Vancouver

      Pereira GR, Costa L da F, Kon F. Análise e visualização do processo de regionalização do tema Único de Saúde (SUS): uma perspectiva em sistemas complexos [Internet]. Anais. 2023 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.5753/sbcas_estendido.2023.229367
  • Source: Physica A. Unidades: ICMC, FEA

    Subjects: REDES COMPLEXAS, FINANÇAS, ALGORITMOS GENÉTICOS

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      ALEXANDRE, Michel et al. Efficiency-stability trade-off in financial systems: a multi-objective optimization approach. Physica A, v. 629, p. 1-9, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2023.129213. Acesso em: 12 out. 2024.
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      Alexandre, M., Michalak, K., Silva, T. C., & Rodrigues, F. A. (2023). Efficiency-stability trade-off in financial systems: a multi-objective optimization approach. Physica A, 629, 1-9. doi:10.1016/j.physa.2023.129213
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      Alexandre M, Michalak K, Silva TC, Rodrigues FA. Efficiency-stability trade-off in financial systems: a multi-objective optimization approach [Internet]. Physica A. 2023 ; 629 1-9.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.physa.2023.129213
    • Vancouver

      Alexandre M, Michalak K, Silva TC, Rodrigues FA. Efficiency-stability trade-off in financial systems: a multi-objective optimization approach [Internet]. Physica A. 2023 ; 629 1-9.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.physa.2023.129213
  • Source: Proceedings. Conference titles: IEEE International Conference on Data Mining Workshops - ICDMW. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, REDES COMPLEXAS, MERCADO FINANCEIRO

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      AMBIEL, Thiago e CASTILHO, Douglas e CARVALHO, André Carlos Ponce de Leon Ferreira de. The strength of influence ties in stock networks: empirical analysis for portfolio selection. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICDMW60847.2023.00066. Acesso em: 12 out. 2024.
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      Ambiel, T., Castilho, D., & Carvalho, A. C. P. de L. F. de. (2023). The strength of influence ties in stock networks: empirical analysis for portfolio selection. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICDMW60847.2023.00066
    • NLM

      Ambiel T, Castilho D, Carvalho ACP de LF de. The strength of influence ties in stock networks: empirical analysis for portfolio selection [Internet]. Proceedings. 2023 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.1109/ICDMW60847.2023.00066
    • Vancouver

      Ambiel T, Castilho D, Carvalho ACP de LF de. The strength of influence ties in stock networks: empirical analysis for portfolio selection [Internet]. Proceedings. 2023 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.1109/ICDMW60847.2023.00066
  • Source: Europhysics Letters. Unidades: ICMC, FEA

    Subjects: REDES COMPLEXAS, SISTEMA FINANCEIRO, DETERMINANTES

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      ALEXANDRE, Michel et al. The determinants of the individual nestedness contribution in financial systems. Europhysics Letters, v. 141, n. 4, p. 42001-p1-42001-p7, 2023Tradução . . Disponível em: https://doi.org/10.1209/0295-5075/acba42. Acesso em: 12 out. 2024.
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      Alexandre, M., Xavier, F. J., Silva, T. C., & Rodrigues, F. A. (2023). The determinants of the individual nestedness contribution in financial systems. Europhysics Letters, 141( 4), 42001-p1-42001-p7. doi:10.1209/0295-5075/acba42
    • NLM

      Alexandre M, Xavier FJ, Silva TC, Rodrigues FA. The determinants of the individual nestedness contribution in financial systems [Internet]. Europhysics Letters. 2023 ; 141( 4): 42001-p1-42001-p7.[citado 2024 out. 12 ] Available from: https://doi.org/10.1209/0295-5075/acba42
    • Vancouver

      Alexandre M, Xavier FJ, Silva TC, Rodrigues FA. The determinants of the individual nestedness contribution in financial systems [Internet]. Europhysics Letters. 2023 ; 141( 4): 42001-p1-42001-p7.[citado 2024 out. 12 ] Available from: https://doi.org/10.1209/0295-5075/acba42
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: VISUALIZAÇÃO, REDES COMPLEXAS

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      LINHARES, Claudio Douglas Gouveia et al. LargeNetVis: visual exploration of large temporal networks based on community taxonomies. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. Ja 2023, p. 203-213, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3209477. Acesso em: 12 out. 2024.
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      Linhares, C. D. G., Ponciano, J. R., Pedro, D. S., Rocha, L. E. C. da, Traina, A. J. M., & Poco, J. (2023). LargeNetVis: visual exploration of large temporal networks based on community taxonomies. IEEE Transactions on Visualization and Computer Graphics, 29( Ja 2023), 203-213. doi:10.1109/TVCG.2022.3209477
    • NLM

      Linhares CDG, Ponciano JR, Pedro DS, Rocha LEC da, Traina AJM, Poco J. LargeNetVis: visual exploration of large temporal networks based on community taxonomies [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 203-213.[citado 2024 out. 12 ] Available from: https://doi.org/10.1109/TVCG.2022.3209477
    • Vancouver

      Linhares CDG, Ponciano JR, Pedro DS, Rocha LEC da, Traina AJM, Poco J. LargeNetVis: visual exploration of large temporal networks based on community taxonomies [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 203-213.[citado 2024 out. 12 ] Available from: https://doi.org/10.1109/TVCG.2022.3209477
  • Source: European Journal of Operational Research. Unidade: ICMC

    Subjects: REDES COMPLEXAS, RISCO, FRAMEWORKS, FINANÇAS

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      ALEXANDRE, Michel et al. Does the default pecking order impact systemic risk?: evidence from Brazilian data. European Journal of Operational Research, v. 309, p. 1379-1391, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ejor.2023.01.043. Acesso em: 12 out. 2024.
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      Alexandre, M., Silva, T. C., Michalak, K., & Rodrigues, F. A. (2023). Does the default pecking order impact systemic risk?: evidence from Brazilian data. European Journal of Operational Research, 309, 1379-1391. doi:10.1016/j.ejor.2023.01.043
    • NLM

      Alexandre M, Silva TC, Michalak K, Rodrigues FA. Does the default pecking order impact systemic risk?: evidence from Brazilian data [Internet]. European Journal of Operational Research. 2023 ; 309 1379-1391.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.ejor.2023.01.043
    • Vancouver

      Alexandre M, Silva TC, Michalak K, Rodrigues FA. Does the default pecking order impact systemic risk?: evidence from Brazilian data [Internet]. European Journal of Operational Research. 2023 ; 309 1379-1391.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.ejor.2023.01.043

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