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Artigo de periodico
Cavity approach for the approximation of spectral density of graphs with heterogeneous structures (2024)
Guzman, Grover Enrique Castro ; Stadler, Peter F. ; Fujita, André
Source: Physical Review E. Unidade: IME
Assunto: MÉTODO DE MONTE CARLO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUZMAN, Grover Enrique Castro e STADLER, Peter F. e FUJITA, André. Cavity approach for the approximation of spectral density of graphs with heterogeneous structures. Physical Review E, v. 109, n. 3, p. 1, 2024Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.109.034303. Acesso em: 04 nov. 2024.
APA
Guzman, G. E. C., Stadler, P. F., & Fujita, A. (2024). Cavity approach for the approximation of spectral density of graphs with heterogeneous structures. Physical Review E, 109( 3), 1. doi:10.1103/PhysRevE.109.034303
NLM
Guzman GEC, Stadler PF, Fujita A. Cavity approach for the approximation of spectral density of graphs with heterogeneous structures [Internet]. Physical Review E. 2024 ; 109( 3): 1.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1103/PhysRevE.109.034303
Vancouver
Guzman GEC, Stadler PF, Fujita A. Cavity approach for the approximation of spectral density of graphs with heterogeneous structures [Internet]. Physical Review E. 2024 ; 109( 3): 1.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1103/PhysRevE.109.034303
Artigo de periodico
A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity (2023)
Guzman, Grover Enrique Castro ; Fujita, André
Source: Journal of Complex Networks. Unidade: IME
Subjects: GRAFOS ALEATÓRIOS, TEORIA ESPECTRAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUZMAN, Grover Enrique Castro e FUJITA, André. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity. Journal of Complex Networks, v. 11, n. 2, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnad005. Acesso em: 04 nov. 2024.
APA
Guzman, G. E. C., & Fujita, A. (2023). A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity. Journal of Complex Networks, 11( 2), 1-15. doi:10.1093/comnet/cnad005
NLM
Guzman GEC, Fujita A. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity [Internet]. Journal of Complex Networks. 2023 ; 11( 2): 1-15.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1093/comnet/cnad005
Vancouver
Guzman GEC, Fujita A. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity [Internet]. Journal of Complex Networks. 2023 ; 11( 2): 1-15.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1093/comnet/cnad005
Artigo de periodico
A fast parameter estimator for large complex networks (2022)
Guzman, Grover Enrique Castro ; Takahashi, Daniel Yasumasa; Fujita, André
Source: Journal of Complex Networks. Unidade: IME
Subjects: COMBINATÓRIA, TEORIA DOS GRAFOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUZMAN, Grover Enrique Castro e TAKAHASHI, Daniel Yasumasa e FUJITA, André. A fast parameter estimator for large complex networks. Journal of Complex Networks, v. 10, n. artigo cnac022. p. 1-11, 2022Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnac022. Acesso em: 04 nov. 2024.
APA
Guzman, G. E. C., Takahashi, D. Y., & Fujita, A. (2022). A fast parameter estimator for large complex networks. Journal of Complex Networks, 10( artigo cnac022. p. 1-11). doi:10.1093/comnet/cnac022
NLM
Guzman GEC, Takahashi DY, Fujita A. A fast parameter estimator for large complex networks [Internet]. Journal of Complex Networks. 2022 ; 10( artigo cnac022. p. 1-11):[citado 2024 nov. 04 ] Available from: https://doi.org/10.1093/comnet/cnac022
Vancouver
Guzman GEC, Takahashi DY, Fujita A. A fast parameter estimator for large complex networks [Internet]. Journal of Complex Networks. 2022 ; 10( artigo cnac022. p. 1-11):[citado 2024 nov. 04 ] Available from: https://doi.org/10.1093/comnet/cnac022
Artigo de periodico
Efficient eigenvalue counts for tree-like networks (2022)
Guzman, Grover Enrique Castro ; Stadler, Peter F. ; Fujita, André
Source: Journal of Complex Networks. Unidade: IME
Subjects: COMBINATÓRIA, TEORIA DOS GRAFOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUZMAN, Grover Enrique Castro e STADLER, Peter F. e FUJITA, André. Efficient eigenvalue counts for tree-like networks. Journal of Complex Networks, v. 10, n. 5, 2022Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnac040. Acesso em: 04 nov. 2024.
APA
Guzman, G. E. C., Stadler, P. F., & Fujita, A. (2022). Efficient eigenvalue counts for tree-like networks. Journal of Complex Networks, 10( 5). doi:10.1093/comnet/cnac040
NLM
Guzman GEC, Stadler PF, Fujita A. Efficient eigenvalue counts for tree-like networks [Internet]. Journal of Complex Networks. 2022 ; 10( 5):[citado 2024 nov. 04 ] Available from: https://doi.org/10.1093/comnet/cnac040
Vancouver
Guzman GEC, Stadler PF, Fujita A. Efficient eigenvalue counts for tree-like networks [Internet]. Journal of Complex Networks. 2022 ; 10( 5):[citado 2024 nov. 04 ] Available from: https://doi.org/10.1093/comnet/cnac040
Artigo de periodico
Convolution-based linear discriminant analysis for functional data classification (2021)
Guzman, Grover Enrique Castro ; Fujita, André
Source: Information Sciences. Unidade: IME
Subjects: ANÁLISE MULTIVARIADA, ESTATÍSTICA DE PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUZMAN, Grover Enrique Castro e FUJITA, André. Convolution-based linear discriminant analysis for functional data classification. Information Sciences, v. 581, p. 469-478, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2021.09.057. Acesso em: 04 nov. 2024.
APA
Guzman, G. E. C., & Fujita, A. (2021). Convolution-based linear discriminant analysis for functional data classification. Information Sciences, 581, 469-478. doi:10.1016/j.ins.2021.09.057
NLM
Guzman GEC, Fujita A. Convolution-based linear discriminant analysis for functional data classification [Internet]. Information Sciences. 2021 ; 581 469-478.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.ins.2021.09.057
Vancouver
Guzman GEC, Fujita A. Convolution-based linear discriminant analysis for functional data classification [Internet]. Information Sciences. 2021 ; 581 469-478.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.ins.2021.09.057
Artigo de periodico
Efficient Laplacian spectral density computations for networks with arbitrary degree distributions (2021)
Guzman, Grover Enrique Castro ; Stadler, Peter F. ; Fujita, André
Source: Network Science. Unidade: IME
Assunto: TEORIA DOS GRAFOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUZMAN, Grover Enrique Castro e STADLER, Peter F. e FUJITA, André. Efficient Laplacian spectral density computations for networks with arbitrary degree distributions. Network Science, v. 9, n. 3, p. 312-327, 2021Tradução . . Disponível em: https://doi.org/10.1017/nws.2021.10. Acesso em: 04 nov. 2024.
APA
Guzman, G. E. C., Stadler, P. F., & Fujita, A. (2021). Efficient Laplacian spectral density computations for networks with arbitrary degree distributions. Network Science, 9( 3), 312-327. doi:10.1017/nws.2021.10
NLM
Guzman GEC, Stadler PF, Fujita A. Efficient Laplacian spectral density computations for networks with arbitrary degree distributions [Internet]. Network Science. 2021 ; 9( 3): 312-327.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1017/nws.2021.10
Vancouver
Guzman GEC, Stadler PF, Fujita A. Efficient Laplacian spectral density computations for networks with arbitrary degree distributions [Internet]. Network Science. 2021 ; 9( 3): 312-327.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1017/nws.2021.10
Artigo de periodico
Identification of alterations associated with age in the clustering structure of functional brain networks (2018)
Guzman, Grover Enrique Castro ; Sato, João Ricardo ; Vidal, Maciel Calebe ; Fujita, André
Source: PLOS ONE. Unidade: IME
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUZMAN, Grover Enrique Castro et al. Identification of alterations associated with age in the clustering structure of functional brain networks. PLOS ONE, v. 13, n. 5 , p. 1-14, 2018Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0195906. Acesso em: 04 nov. 2024.
APA
Guzman, G. E. C., Sato, J. R., Vidal, M. C., & Fujita, A. (2018). Identification of alterations associated with age in the clustering structure of functional brain networks. PLOS ONE, 13( 5 ), 1-14. doi:10.1371/journal.pone.0195906
NLM
Guzman GEC, Sato JR, Vidal MC, Fujita A. Identification of alterations associated with age in the clustering structure of functional brain networks [Internet]. PLOS ONE. 2018 ; 13( 5 ): 1-14.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1371/journal.pone.0195906
Vancouver
Guzman GEC, Sato JR, Vidal MC, Fujita A. Identification of alterations associated with age in the clustering structure of functional brain networks [Internet]. PLOS ONE. 2018 ; 13( 5 ): 1-14.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1371/journal.pone.0195906

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