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  • Artigo de periodico

    Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks (2024)

    Valejo, Alan Demetrius Baria ; Althoff, Paulo Eduardo ; Faleiros, Thiago de Paulo ; Rocha Filho, Geraldo Pereira ; Yu-Tao, Zhu ; Jianglong, Yan; Weiguang, Liu; Liang, Zhao

    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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1109/TNSE.2023.3331655

  • Artigo de periodico

    Machine learning and economic forecasting: the role of international trade networks (2024)

    Silva, Thiago Christiano ; Wilhelm, Paulo Victor Berri ; Amancio, Diego Raphael

    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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1016/j.physa.2024.129977

  • Artigo de periodico

    Using word embedding to detect keywords in texts modeled as complex networks (2024)

    Tohalino, Jorge Andoni Valverde ; Silva, Thiago Christiano ; Amancio, Diego Raphael

    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: 19 ago. 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 ago. 19 ] Available from: https://doi.org/10.1007/s11192-024-05055-7

    • Vancouver

      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 ago. 19 ] Available from: https://doi.org/10.1007/s11192-024-05055-7

  • Artigo de periodico

    Interconnectivity disrupted by fading globalization: a network approach to recent international trade developments (2024)

    Silva, Thiago Christiano ; Wilhelm, Paulo Victor Berri ; Amancio, Diego Raphael

    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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1088/2632-072X/ad4dfc

  • Artigo de periodico

    Forecasting financial market structure from network features using machine learning (2024)

    Castilho, Douglas; Souza, Thársis Tuani Pinto; Kang, Soong Moon; Gama, João ; Carvalho, Andre Carlos Ponce de Leon Ferreira de

    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: 19 ago. 2024.

    • APA

      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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1007/s10115-024-02095-6

  • Artigo de periodico

    Recovering network topology and dynamics from sequences: a machine learning approach (2024)

    Guerreiro, Lucas ; Silva, Filipi Nascimento ; Amancio, Diego Raphael

    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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1016/j.physa.2024.129618

  • Artigo de periodico

    Identifying the perceived local properties of networks reconstructed from biased random walks (2024)

    Guerreiro, Lucas ; Silva, Filipi Nascimento ; Amancio, Diego Raphael

    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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1371/journal.pone.0296088

  • Artigo de periodico

    The networkness of the brain: comment on “Does the brain behave like a (complex) network? I. Dynamics” by Papo and Buldú (2024)

    Peron, Thomas

    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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1016/j.plrev.2023.12.006

  • Artigo de periodico

    The earthquake network: the best time scale for network construction (2023)

    Lotfi, Nastaran

    Source: Acta Geophysica. Unidade: ICMC

    Subjects: REDES COMPLEXAS, ANÁLISE DE SÉRIES TEMPORAIS, SISMOLOGIA

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      LOTFI, Nastaran. The earthquake network: the best time scale for network construction. Acta Geophysica, v. 71, n. 6, p. 2565-2571, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11600-023-01134-0. Acesso em: 19 ago. 2024.

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      Lotfi, N. (2023). The earthquake network: the best time scale for network construction. Acta Geophysica, 71( 6), 2565-2571. doi:10.1007/s11600-023-01134-0

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      Lotfi N. The earthquake network: the best time scale for network construction [Internet]. Acta Geophysica. 2023 ; 71( 6): 2565-2571.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1007/s11600-023-01134-0

    • Vancouver

      Lotfi N. The earthquake network: the best time scale for network construction [Internet]. Acta Geophysica. 2023 ; 71( 6): 2565-2571.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1007/s11600-023-01134-0

  • Artigo de periodico

    LargeNetVis: visual exploration of large temporal networks based on community taxonomies (2023)

    Linhares, Claudio Douglas Gouveia ; Ponciano, Jean Roberto ; Pedro, Diogenes Silva; Rocha, Luis Enrique Correa da ; Traina, Agma Juci Machado ; Poco, Jorge

    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: 19 ago. 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

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      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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1109/TVCG.2022.3209477

  • Artigo de periodico

    Efficiency-stability trade-off in financial systems: a multi-objective optimization approach (2023)

    Alexandre, Michel ; Michalak, Krzysztof ; Silva, Thiago Christiano ; Rodrigues, Francisco Aparecido

    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: 19 ago. 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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1016/j.physa.2023.129213

  • Artigo de periodico

    The determinants of the individual nestedness contribution in financial systems (2023)

    Alexandre, Michel ; Xavier, Felipe Jordão; Silva, Thiago Christiano ; Rodrigues, Francisco Aparecido

    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: 19 ago. 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

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      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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1209/0295-5075/acba42

  • Artigo de periodico

    Does the default pecking order impact systemic risk?: evidence from Brazilian data (2023)

    Alexandre, Michel ; Silva, Thiago Christiano ; Michalak, Krzysztof ; Rodrigues, Francisco Aparecido

    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: 19 ago. 2024.

    • APA

      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

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      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 ago. 19 ] 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 ago. 19 ] Available from: https://doi.org/10.1016/j.ejor.2023.01.043

  • Artigo de periodico

    Earthquake network construction models: from Abe-Suzuki to a multiplex approach (2023)

    Lotfi, Nastaran

    Source: Acta Geophysica. Unidade: ICMC

    Subjects: REDES COMPLEXAS, ANÁLISE DE SÉRIES TEMPORAIS, SISMOLOGIA

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      LOTFI, Nastaran. Earthquake network construction models: from Abe-Suzuki to a multiplex approach. Acta Geophysica, v. 71, n. 3, p. 1111–1117, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11600-023-01025-4. Acesso em: 19 ago. 2024.

    • APA

      Lotfi, N. (2023). Earthquake network construction models: from Abe-Suzuki to a multiplex approach. Acta Geophysica, 71( 3), 1111–1117. doi:10.1007/s11600-023-01025-4

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      Lotfi N. Earthquake network construction models: from Abe-Suzuki to a multiplex approach [Internet]. Acta Geophysica. 2023 ; 71( 3): 1111–1117.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1007/s11600-023-01025-4

    • Vancouver

      Lotfi N. Earthquake network construction models: from Abe-Suzuki to a multiplex approach [Internet]. Acta Geophysica. 2023 ; 71( 3): 1111–1117.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1007/s11600-023-01025-4

  • Artigo de periodico

    Quantifying the hierarchical adherence of modular documents (2023)

    Benatti, Alexandre ; Brito, Ana Caroline Medeiros ; Amancio, Diego Raphael ; Costa, Luciano da Fontoura

    Source: Journal of Physics : Complexity. Unidades: ICMC, IFSC, IME

    Subjects: REDES COMPLEXAS, PROCESSAMENTO DE LINGUAGEM NATURAL

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      BENATTI, Alexandre et al. Quantifying the hierarchical adherence of modular documents. Journal of Physics : Complexity, v. 4, n. 4, p. 045008-01-045008-18, 2023Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ad0a9b. Acesso em: 19 ago. 2024.

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      Benatti, A., Brito, A. C. M., Amancio, D. R., & Costa, L. da F. (2023). Quantifying the hierarchical adherence of modular documents. Journal of Physics : Complexity, 4( 4), 045008-01-045008-18. doi:10.1088/2632-072X/ad0a9b

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      Benatti A, Brito ACM, Amancio DR, Costa L da F. Quantifying the hierarchical adherence of modular documents [Internet]. Journal of Physics : Complexity. 2023 ; 4( 4): 045008-01-045008-18.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1088/2632-072X/ad0a9b

    • Vancouver

      Benatti A, Brito ACM, Amancio DR, Costa L da F. Quantifying the hierarchical adherence of modular documents [Internet]. Journal of Physics : Complexity. 2023 ; 4( 4): 045008-01-045008-18.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1088/2632-072X/ad0a9b

  • Artigo de periodico

    The structure of biological complexity: Comment on “Networks behind the morphology and structural design of living systems” by Gosak et al (2023)

    Rodrigues, Francisco Aparecido

    Source: Physics of Life Reviews. Unidade: ICMC

    Assunto: REDES COMPLEXAS

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      RODRIGUES, Francisco Aparecido. The structure of biological complexity: Comment on “Networks behind the morphology and structural design of living systems” by Gosak et al. Physics of Life Reviews, v. 44, p. 73-76, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.plrev.2022.12.005. Acesso em: 19 ago. 2024.

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      Rodrigues, F. A. (2023). The structure of biological complexity: Comment on “Networks behind the morphology and structural design of living systems” by Gosak et al. Physics of Life Reviews, 44, 73-76. doi:10.1016/j.plrev.2022.12.005

    • NLM

      Rodrigues FA. The structure of biological complexity: Comment on “Networks behind the morphology and structural design of living systems” by Gosak et al [Internet]. Physics of Life Reviews. 2023 ; 44 73-76.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1016/j.plrev.2022.12.005

    • Vancouver

      Rodrigues FA. The structure of biological complexity: Comment on “Networks behind the morphology and structural design of living systems” by Gosak et al [Internet]. Physics of Life Reviews. 2023 ; 44 73-76.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1016/j.plrev.2022.12.005

  • Artigo de periodico

    Characterizing data patterns with core-periphery network modeling (2023)

    Jianglong, Yan; Anghinoni, Leandro ; Yu-Tao, Zhu; Weiguang, Liu; Gen, Li; Qiusheng, Zheng; Liang, Zhao

    Source: Journal of Computational Science. Unidades: FFCLRP, ICMC

    Subjects: REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, RADIOGRAFIA, COVID-19

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      JIANGLONG, Yan et al. Characterizing data patterns with core-periphery network modeling. Journal of Computational Science, v. 66, n. Ja 2023, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jocs.2022.101912. Acesso em: 19 ago. 2024.

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      Jianglong, Y., Anghinoni, L., Yu-Tao, Z., Weiguang, L., Gen, L., Qiusheng, Z., & Liang, Z. (2023). Characterizing data patterns with core-periphery network modeling. Journal of Computational Science, 66( Ja 2023), 1-13. doi:10.1016/j.jocs.2022.101912

    • NLM

      Jianglong Y, Anghinoni L, Yu-Tao Z, Weiguang L, Gen L, Qiusheng Z, Liang Z. Characterizing data patterns with core-periphery network modeling [Internet]. Journal of Computational Science. 2023 ; 66( Ja 2023): 1-13.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1016/j.jocs.2022.101912

    • Vancouver

      Jianglong Y, Anghinoni L, Yu-Tao Z, Weiguang L, Gen L, Qiusheng Z, Liang Z. Characterizing data patterns with core-periphery network modeling [Internet]. Journal of Computational Science. 2023 ; 66( Ja 2023): 1-13.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1016/j.jocs.2022.101912

  • Artigo de periodico

    Complex network-based classification of radiographic images for COVID-19 diagnosis (2023)

    Weiguang, Liu; Rodrigues, Rafael Delalibera ; Jianglong, Yan; Yu-Tao, Zhu; Pereira, Everson José de Freitas; Gen, Li; Qiusheng, Zheng; Liang, Zhao

    Source: PLOS ONE. Unidades: FFCLRP, ICMC

    Subjects: REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE, RADIOGRAFIA, COVID-19

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    • ABNT

      WEIGUANG, Liu et al. Complex network-based classification of radiographic images for COVID-19 diagnosis. PLOS ONE, v. 18, n. 9, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0290968. Acesso em: 19 ago. 2024.

    • APA

      Weiguang, L., Rodrigues, R. D., Jianglong, Y., Yu-Tao, Z., Pereira, E. J. de F., Gen, L., et al. (2023). Complex network-based classification of radiographic images for COVID-19 diagnosis. PLOS ONE, 18( 9), 1-26. doi:10.1371/ journal.pone.0290968

    • NLM

      Weiguang L, Rodrigues RD, Jianglong Y, Yu-Tao Z, Pereira EJ de F, Gen L, Qiusheng Z, Liang Z. Complex network-based classification of radiographic images for COVID-19 diagnosis [Internet]. PLOS ONE. 2023 ; 18( 9): 1-26.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1371/journal.pone.0290968

    • Vancouver

      Weiguang L, Rodrigues RD, Jianglong Y, Yu-Tao Z, Pereira EJ de F, Gen L, Qiusheng Z, Liang Z. Complex network-based classification of radiographic images for COVID-19 diagnosis [Internet]. PLOS ONE. 2023 ; 18( 9): 1-26.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1371/journal.pone.0290968

  • Artigo de periodico

    Learning graph representation with randomized neural network for dynamic texture classification (2022)

    Ribas, Lucas Correia ; Sá Júnior, Jarbas Joaci de Mesquita; Manzanera, Antoine ; Bruno, Odemir Martinez

    Source: Applied Soft Computing. Unidades: IFSC, ICMC

    Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL, REDES NEURAIS

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    • ABNT

      RIBAS, Lucas Correia et al. Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, v. 114, n. Ja 2022, p. 108035-1-108035-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108035. Acesso em: 19 ago. 2024.

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      Ribas, L. C., Sá Júnior, J. J. de M., Manzanera, A., & Bruno, O. M. (2022). Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, 114( Ja 2022), 108035-1-108035-14. doi:10.1016/j.asoc.2021.108035

    • NLM

      Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035

    • Vancouver

      Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035

  • Artigo de periodico

    Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments (2022)

    Alves, Caroline Lourenço ; Cury, Rubens Gisbert ; Roster, Kirstin ; Pineda, Aruane Mello ; Rodrigues, Francisco Aparecido ; Thielemann, Christiane ; Ciba, Manuel

    Source: PLOS ONE. Unidades: ICMC, FM

    Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, ELETROENCEFALOGRAFIA

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    • ABNT

      ALVES, Caroline Lourenço et al. Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments. PLOS ONE, v. 17, n. 12, p. 1-26, 2022Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0277257. Acesso em: 19 ago. 2024.

    • APA

      Alves, C. L., Cury, R. G., Roster, K., Pineda, A. M., Rodrigues, F. A., Thielemann, C., & Ciba, M. (2022). Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments. PLOS ONE, 17( 12), 1-26. doi:10.1371/journal.pone.0277257

    • NLM

      Alves CL, Cury RG, Roster K, Pineda AM, Rodrigues FA, Thielemann C, Ciba M. Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments [Internet]. PLOS ONE. 2022 ; 17( 12): 1-26.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1371/journal.pone.0277257

    • Vancouver

      Alves CL, Cury RG, Roster K, Pineda AM, Rodrigues FA, Thielemann C, Ciba M. Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments [Internet]. PLOS ONE. 2022 ; 17( 12): 1-26.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1371/journal.pone.0277257

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