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  • Source: Brazilian Journal of Physics. Unidade: ICMC

    Subjects: REDES COMPLEXAS, FINANÇAS, ANÁLISE DE RISCO

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      ALEXANDRE, Michel e RODRIGUES, Francisco Aparecido. Complex financial networks. Brazilian Journal of Physics, v. 55, p. 1-8, 2025Tradução . . Disponível em: https://doi.org/10.1007/s13538-024-01682-w. Acesso em: 08 out. 2025.
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      Alexandre, M., & Rodrigues, F. A. (2025). Complex financial networks. Brazilian Journal of Physics, 55, 1-8. doi:10.1007/s13538-024-01682-w
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      Alexandre M, Rodrigues FA. Complex financial networks [Internet]. Brazilian Journal of Physics. 2025 ; 55 1-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s13538-024-01682-w
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      Alexandre M, Rodrigues FA. Complex financial networks [Internet]. Brazilian Journal of Physics. 2025 ; 55 1-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s13538-024-01682-w
  • Source: Physical Review E. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS

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      LOBER, Luiza e PALMERO, Matheus e RODRIGUES, Francisco Aparecido. Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks. Physical Review E, v. 112, p. 014210-1-014210-13, 2025Tradução . . Disponível em: https://doi.org/10.1103/wz7j-lzvs. Acesso em: 08 out. 2025.
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      Lober, L., Palmero, M., & Rodrigues, F. A. (2025). Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks. Physical Review E, 112, 014210-1-014210-13. doi:10.1103/wz7j-lzvs
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      Lober L, Palmero M, Rodrigues FA. Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks [Internet]. Physical Review E. 2025 ; 112 014210-1-014210-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/wz7j-lzvs
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      Lober L, Palmero M, Rodrigues FA. Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks [Internet]. Physical Review E. 2025 ; 112 014210-1-014210-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/wz7j-lzvs
  • Source: PLoS ONE. Unidade: ICMC

    Subjects: REDES COMPLEXAS, CONGRESSO NACIONAL, VOTAÇÃO

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      TOLEDO JUNIOR, Tiago José de Oliveira e AMANCIO, Diego Raphael e ROMERO, Roseli Aparecida Francelin. Complex networks applied to political analysis: group voting behavior in the brazilian congress. PLoS ONE, v. 20, n. 4, p. 1-30, 2025Tradução . . Disponível em: https://doi.org/10.1371/ journal.pone.0319643. Acesso em: 08 out. 2025.
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      Toledo Junior, T. J. de O., Amancio, D. R., & Romero, R. A. F. (2025). Complex networks applied to political analysis: group voting behavior in the brazilian congress. PLoS ONE, 20( 4), 1-30. doi:10.1371/ journal.pone.0319643
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      Toledo Junior TJ de O, Amancio DR, Romero RAF. Complex networks applied to political analysis: group voting behavior in the brazilian congress [Internet]. PLoS ONE. 2025 ; 20( 4): 1-30.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/ journal.pone.0319643
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      Toledo Junior TJ de O, Amancio DR, Romero RAF. Complex networks applied to political analysis: group voting behavior in the brazilian congress [Internet]. PLoS ONE. 2025 ; 20( 4): 1-30.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/ journal.pone.0319643
  • Source: Physica A. Unidades: IFSC, ICMC

    Subjects: REDES COMPLEXAS, PROCESSAMENTO DE LINGUAGEM NATURAL, CIENTOMETRIA

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      VITAL JUNIOR, Adilson et al. Predicting citation impact of research papers using GPT and other text embeddings. Physica A, v. 674, p. 130789-1-130789-13 + supplementary data, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2025.130789. Acesso em: 08 out. 2025.
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      Vital Junior, A., Silva, F. N., Oliveira Junior, O. N. de, & Amancio, D. R. (2025). Predicting citation impact of research papers using GPT and other text embeddings. Physica A, 674, 130789-1-130789-13 + supplementary data. doi:10.1016/j.physa.2025.130789
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      Vital Junior A, Silva FN, Oliveira Junior ON de, Amancio DR. Predicting citation impact of research papers using GPT and other text embeddings [Internet]. Physica A. 2025 ; 674 130789-1-130789-13 + supplementary data.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2025.130789
    • Vancouver

      Vital Junior A, Silva FN, Oliveira Junior ON de, Amancio DR. Predicting citation impact of research papers using GPT and other text embeddings [Internet]. Physica A. 2025 ; 674 130789-1-130789-13 + supplementary data.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2025.130789
  • Source: PLoS One. Unidades: ICMC, EP

    Subjects: REDES COMPLEXAS, PROCESSAMENTO DE LINGUAGEM NATURAL

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      AMANCIO, Diego Raphael e MACHICAO, Jeaneth e QUISPE, Laura Vanessa Cruz. Leveraging word embeddings to enhance co-occurrence networks: a statistical analysis. PLoS One, v. 20, n. 7, p. 1-17, 2025Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0327421. Acesso em: 08 out. 2025.
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      Amancio, D. R., Machicao, J., & Quispe, L. V. C. (2025). Leveraging word embeddings to enhance co-occurrence networks: a statistical analysis. PLoS One, 20( 7), 1-17. doi:10.1371/journal.pone.0327421
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      Amancio DR, Machicao J, Quispe LVC. Leveraging word embeddings to enhance co-occurrence networks: a statistical analysis [Internet]. PLoS One. 2025 ; 20( 7): 1-17.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/journal.pone.0327421
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      Amancio DR, Machicao J, Quispe LVC. Leveraging word embeddings to enhance co-occurrence networks: a statistical analysis [Internet]. PLoS One. 2025 ; 20( 7): 1-17.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/journal.pone.0327421
  • Source: Chaos, Solitons and Fractals. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística, IFSC

    Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, APRENDIZAGEM PROFUNDA

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      SALLUM, Loriz Francisco et al. Revealing patterns in major depressive disorder with machine learning and networks. Chaos, Solitons and Fractals, v. 194, p. 116163-1-116163-16, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2025.116163. Acesso em: 08 out. 2025.
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      Sallum, L. F., Alves, C. L., Toutain, T. G. L. de, Porto, J. A. M., Thielemann, C., & Rodrigues, F. A. (2025). Revealing patterns in major depressive disorder with machine learning and networks. Chaos, Solitons and Fractals, 194, 116163-1-116163-16. doi:10.1016/j.chaos.2025.116163
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      Sallum LF, Alves CL, Toutain TGL de, Porto JAM, Thielemann C, Rodrigues FA. Revealing patterns in major depressive disorder with machine learning and networks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116163-1-116163-16.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116163
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      Sallum LF, Alves CL, Toutain TGL de, Porto JAM, Thielemann C, Rodrigues FA. Revealing patterns in major depressive disorder with machine learning and networks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116163-1-116163-16.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116163
  • Source: International Journal of Biological Macromolecules. Unidades: ICMC, IFSC

    Subjects: REDES COMPLEXAS, PROCESSAMENTO DE LINGUAGEM NATURAL, CIENTOMETRIA, REVISÃO SISTEMÁTICA, CICATRIZAÇÃO, QUITOSANA

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      KLARAK, Jaromir et al. Using network analysis and large-language models to obtain a landscape of the literature on dressing materials for wound healing: the predominance of chitosan and other biomacromolecules : a review. International Journal of Biological Macromolecules, v. 306, p. 1-13, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.ijbiomac.2025.141565. Acesso em: 08 out. 2025.
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      Klarak, J., Brito, A. C. M., Moreira, L. F., Silva, F. N., Amancio, D. R., Andok, R., et al. (2025). Using network analysis and large-language models to obtain a landscape of the literature on dressing materials for wound healing: the predominance of chitosan and other biomacromolecules : a review. International Journal of Biological Macromolecules, 306, 1-13. doi:10.1016/j.ijbiomac.2025.141565
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      Klarak J, Brito ACM, Moreira LF, Silva FN, Amancio DR, Andok R, Oliveira MCF de, Bardosova M, Oliveira Junior ON de. Using network analysis and large-language models to obtain a landscape of the literature on dressing materials for wound healing: the predominance of chitosan and other biomacromolecules : a review [Internet]. International Journal of Biological Macromolecules. 2025 ; 306 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.ijbiomac.2025.141565
    • Vancouver

      Klarak J, Brito ACM, Moreira LF, Silva FN, Amancio DR, Andok R, Oliveira MCF de, Bardosova M, Oliveira Junior ON de. Using network analysis and large-language models to obtain a landscape of the literature on dressing materials for wound healing: the predominance of chitosan and other biomacromolecules : a review [Internet]. International Journal of Biological Macromolecules. 2025 ; 306 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.ijbiomac.2025.141565
  • Source: ACS Omega. Unidades: ICMC, IFSC

    Subjects: REDES COMPLEXAS, PROCESSAMENTO DE LINGUAGEM NATURAL, REVISÃO SISTEMÁTICA, SENSORES BIOMÉDICOS, TECNOLOGIAS DA SAÚDE

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      KLARAK, Jaromir et al. The landscape of wearable sensors and automated literature analysis with large-language models. ACS Omega, v. 10, n. 37, p. 42127-42134, 2025Tradução . . Disponível em: https://doi.org/10.1021/acsomega.5c04542. Acesso em: 08 out. 2025.
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      Klarak, J., Santi, V. H. B. D., Moreira, L. F., Andok, R., Bardosova, M., Oliveira, M. C. F. de, & Oliveira Junior, O. N. de. (2025). The landscape of wearable sensors and automated literature analysis with large-language models. ACS Omega, 10( 37), 42127-42134. doi:10.1021/acsomega.5c04542
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      Klarak J, Santi VHBD, Moreira LF, Andok R, Bardosova M, Oliveira MCF de, Oliveira Junior ON de. The landscape of wearable sensors and automated literature analysis with large-language models [Internet]. ACS Omega. 2025 ; 10( 37): 42127-42134.[citado 2025 out. 08 ] Available from: https://doi.org/10.1021/acsomega.5c04542
    • Vancouver

      Klarak J, Santi VHBD, Moreira LF, Andok R, Bardosova M, Oliveira MCF de, Oliveira Junior ON de. The landscape of wearable sensors and automated literature analysis with large-language models [Internet]. ACS Omega. 2025 ; 10( 37): 42127-42134.[citado 2025 out. 08 ] Available from: https://doi.org/10.1021/acsomega.5c04542
    GDS 03. Good health and well-being
  • Unidade: ICMC

    Subjects: REDES COMPLEXAS, INSTITUIÇÕES FINANCEIRAS, MERCADO FINANCEIRO, RISCO

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      ALEXANDRE, Michel et al. Nestedness and systemic risk in financial networks. v. 6, p. 1-8, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.latcb.2024.100136. Acesso em: 08 out. 2025.
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      Alexandre, M., Xavier, F. J., Silva, T. C., & Rodrigues, F. A. (2025). Nestedness and systemic risk in financial networks, 6, 1-8. doi:10.1016/j.latcb.2024.100136
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      Alexandre M, Xavier FJ, Silva TC, Rodrigues FA. Nestedness and systemic risk in financial networks [Internet]. 2025 ; 6 1-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.latcb.2024.100136
    • Vancouver

      Alexandre M, Xavier FJ, Silva TC, Rodrigues FA. Nestedness and systemic risk in financial networks [Internet]. 2025 ; 6 1-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.latcb.2024.100136
  • Source: IEEE Geoscience and Remote Sensing Letters. Unidade: ICMC

    Subjects: SENSORIAMENTO REMOTO, SISTEMA DE INFORMAÇÃO GEOGRÁFICA, REDES COMPLEXAS

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      NESPOLO, Renan Guilherme e VALEJO, Alan Demetrius Baria e LOPES, Alneu de Andrade. Predicting land sensing indicators with geolocalized complex network. IEEE Geoscience and Remote Sensing Letters, v. 22, p. 2505205-1-2505205-5, 2025Tradução . . Disponível em: https://doi.org/10.1109/LGRS.2025.3587590. Acesso em: 08 out. 2025.
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      Nespolo, R. G., Valejo, A. D. B., & Lopes, A. de A. (2025). Predicting land sensing indicators with geolocalized complex network. IEEE Geoscience and Remote Sensing Letters, 22, 2505205-1-2505205-5. doi:10.1109/LGRS.2025.3587590
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      Nespolo RG, Valejo ADB, Lopes A de A. Predicting land sensing indicators with geolocalized complex network [Internet]. IEEE Geoscience and Remote Sensing Letters. 2025 ; 22 2505205-1-2505205-5.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/LGRS.2025.3587590
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      Nespolo RG, Valejo ADB, Lopes A de A. Predicting land sensing indicators with geolocalized complex network [Internet]. IEEE Geoscience and Remote Sensing Letters. 2025 ; 22 2505205-1-2505205-5.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/LGRS.2025.3587590
    GDS 11. Sustainable cities and communitiesGDS 15. Life on land
  • 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: 08 out. 2025.
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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 2025 out. 08 ] Available from: https://doi.org/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 2025 out. 08 ] Available from: https://doi.org/10.1109/TNSE.2023.3331655
  • Unidade: ICMC

    Subjects: GRAFOS ALEATÓRIOS, SISTEMAS DINÂMICOS, REDES COMPLEXAS

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      BIAN, Zheng. Rigorous mean-field dimensional reduction in heterogeneous network dynamics. 2024. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2024. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-30092024-145313/. Acesso em: 08 out. 2025.
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      Bian, Z. (2024). Rigorous mean-field dimensional reduction in heterogeneous network dynamics (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-30092024-145313/
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      Bian Z. Rigorous mean-field dimensional reduction in heterogeneous network dynamics [Internet]. 2024 ;[citado 2025 out. 08 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-30092024-145313/
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      Bian Z. Rigorous mean-field dimensional reduction in heterogeneous network dynamics [Internet]. 2024 ;[citado 2025 out. 08 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-30092024-145313/
  • Source: Physical Review E. Unidade: ICMC

    Assunto: REDES COMPLEXAS

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      PHAM, Tuan Minh e PERON, Thomas e METZ, Fernando L. Effects of clustering heterogeneity on the spectral density of sparse networks. Physical Review E, v. 110, 2024Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.110.054307. Acesso em: 08 out. 2025.
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      Pham, T. M., Peron, T., & Metz, F. L. (2024). Effects of clustering heterogeneity on the spectral density of sparse networks. Physical Review E, 110. doi:10.1103/PhysRevE.110.054307
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      Pham TM, Peron T, Metz FL. Effects of clustering heterogeneity on the spectral density of sparse networks [Internet]. Physical Review E. 2024 ; 110[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.110.054307
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      Pham TM, Peron T, Metz FL. Effects of clustering heterogeneity on the spectral density of sparse networks [Internet]. Physical Review E. 2024 ; 110[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.110.054307
  • Source: PLoS ONE. Unidade: ICMC

    Subjects: REDES COMPLEXAS, PASSEIOS ALEATÓRIOS

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      VITAL JUNIOR, Adilson e SILVA, Filipi Nascimento e AMANCIO, Diego Raphael. Comparing random walks in graph embedding and link prediction. PLoS ONE, v. 19, n. 11, p. 1-22, 2024Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0312863. Acesso em: 08 out. 2025.
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      Vital Junior, A., Silva, F. N., & Amancio, D. R. (2024). Comparing random walks in graph embedding and link prediction. PLoS ONE, 19( 11), 1-22. doi:10.1371/journal.pone.0312863
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      Vital Junior A, Silva FN, Amancio DR. Comparing random walks in graph embedding and link prediction [Internet]. PLoS ONE. 2024 ; 19( 11): 1-22.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/journal.pone.0312863
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      Vital Junior A, Silva FN, Amancio DR. Comparing random walks in graph embedding and link prediction [Internet]. PLoS ONE. 2024 ; 19( 11): 1-22.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/journal.pone.0312863
  • Source: Physical Review E. Unidade: ICMC

    Subjects: PROCESSOS ESTOCÁSTICOS, REDES COMPLEXAS, SURTOS DE DOENÇAS

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      SILVA, Diogo Henrique da e RODRIGUES, Francisco Aparecido e FERREIRA, Silvio C. Accuracy of discrete- and continuous-time mean-field theories for epidemic processes on complex networks. Physical Review E, v. 110, n. 1, p. 014302-1-014302-9, 2024Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.110.014302. Acesso em: 08 out. 2025.
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      Silva, D. H. da, Rodrigues, F. A., & Ferreira, S. C. (2024). Accuracy of discrete- and continuous-time mean-field theories for epidemic processes on complex networks. Physical Review E, 110( 1), 014302-1-014302-9. doi:10.1103/PhysRevE.110.014302
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      Silva DH da, Rodrigues FA, Ferreira SC. Accuracy of discrete- and continuous-time mean-field theories for epidemic processes on complex networks [Internet]. Physical Review E. 2024 ; 110( 1): 014302-1-014302-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.110.014302
    • Vancouver

      Silva DH da, Rodrigues FA, Ferreira SC. Accuracy of discrete- and continuous-time mean-field theories for epidemic processes on complex networks [Internet]. Physical Review E. 2024 ; 110( 1): 014302-1-014302-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.110.014302
  • 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: 08 out. 2025.
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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 2025 out. 08 ] 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 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2024.129977
  • 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: 08 out. 2025.
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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 2025 out. 08 ] 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 2025 out. 08 ] 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: 08 out. 2025.
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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 2025 out. 08 ] 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 2025 out. 08 ] Available from: https://doi.org/10.1007/s11192-024-05055-7
  • 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: 08 out. 2025.
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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 2025 out. 08 ] 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 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2024.129518
  • Source: Proceedings of the Royal Society A. Unidade: ICMC

    Subjects: 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: 08 out. 2025.
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      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 out. 08 ] 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 out. 08 ] Available from: https://doi.org/10.1098/rspa.2024.0435

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