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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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.1103/PhysRevE.109.034303
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NASPOLINI, Nathalia Ferrazzo et al. Lead contamination in human milk affects infants' language trajectory: results from a prospective cohort study. Frontiers in Public Health, v. 12, p. 1-6, 2024Tradução . . Disponível em: https://doi.org/10.3389/fpubh.2024.1450570. Acesso em: 08 nov. 2024.
APA
Naspolini, N. F., Vanzele, P. A. R., Tótolo, P., Schüroff, P. A., Fatori, D., Vicentini Neto, S. A., et al. (2024). Lead contamination in human milk affects infants' language trajectory: results from a prospective cohort study. Frontiers in Public Health, 12, 1-6. doi:10.3389/fpubh.2024.1450570
NLM
Naspolini NF, Vanzele PAR, Tótolo P, Schüroff PA, Fatori D, Vicentini Neto SA, Barata-Silva C, Santos LMG dos, Fujita A, Passos-Bueno MR, Beltrão-Braga P, Campos AC de, Carvalho ACP de LF de, Polanczyk GV, Moreira JC, Taddei CR. Lead contamination in human milk affects infants' language trajectory: results from a prospective cohort study [Internet]. Frontiers in Public Health. 2024 ; 12 1-6.[citado 2024 nov. 08 ] Available from: https://doi.org/10.3389/fpubh.2024.1450570
Vancouver
Naspolini NF, Vanzele PAR, Tótolo P, Schüroff PA, Fatori D, Vicentini Neto SA, Barata-Silva C, Santos LMG dos, Fujita A, Passos-Bueno MR, Beltrão-Braga P, Campos AC de, Carvalho ACP de LF de, Polanczyk GV, Moreira JC, Taddei CR. Lead contamination in human milk affects infants' language trajectory: results from a prospective cohort study [Internet]. Frontiers in Public Health. 2024 ; 12 1-6.[citado 2024 nov. 08 ] Available from: https://doi.org/10.3389/fpubh.2024.1450570
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MORETTI, Eduardo Hermógenes et al. Autoregulation of blood flow drives early hypotension in a rat model of systemic inflammation induced by bacterial lipopolysaccharide. PNAS Nexus, v. 2, n. 2, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1093/pnasnexus/pgad014. Acesso em: 08 nov. 2024.
APA
Moretti, E. H., Rodrigues, A. C., Marques, B. V. D., Lopes, L. B., Moreira, T. dos S., Akamine, E. H., et al. (2023). Autoregulation of blood flow drives early hypotension in a rat model of systemic inflammation induced by bacterial lipopolysaccharide. PNAS Nexus, 2( 2), 1-13. doi:10.1093/pnasnexus/pgad014
NLM
Moretti EH, Rodrigues AC, Marques BVD, Lopes LB, Moreira T dos S, Akamine EH, Baccala LA, Fujita A, Steiner AA. Autoregulation of blood flow drives early hypotension in a rat model of systemic inflammation induced by bacterial lipopolysaccharide [Internet]. PNAS Nexus. 2023 ; 2( 2): 1-13.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1093/pnasnexus/pgad014
Vancouver
Moretti EH, Rodrigues AC, Marques BVD, Lopes LB, Moreira T dos S, Akamine EH, Baccala LA, Fujita A, Steiner AA. Autoregulation of blood flow drives early hypotension in a rat model of systemic inflammation induced by bacterial lipopolysaccharide [Internet]. PNAS Nexus. 2023 ; 2( 2): 1-13.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1093/pnasnexus/pgad014
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VILLELA, Victor Chavauty e LIRA, Eduardo Silva e FUJITA, André. Spectrum-based statistical methods for directed graphs with applications in biological data. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-42715-2_5. Acesso em: 08 nov. 2024.
APA
Villela, V. C., Lira, E. S., & Fujita, A. (2023). Spectrum-based statistical methods for directed graphs with applications in biological data. In . Cham: Springer. doi:10.1007/978-3-031-42715-2_5
NLM
Villela VC, Lira ES, Fujita A. Spectrum-based statistical methods for directed graphs with applications in biological data [Internet]. 2023 ;[citado 2024 nov. 08 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_5
Vancouver
Villela VC, Lira ES, Fujita A. Spectrum-based statistical methods for directed graphs with applications in biological data [Internet]. 2023 ;[citado 2024 nov. 08 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_5
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CUNHA, Mateus Trinconi et al. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study. Cancer Medicine, v. 12, n. 4, p. 5099-5109, 2023Tradução . . Disponível em: https://doi.org/10.1002/cam4.5254. Acesso em: 08 nov. 2024.
APA
Cunha, M. T., Borges, A. P. de S., Carvalho, V. J., Fujita, A., & Castro Junior, G. de C. (2023). Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study. Cancer Medicine, 12( 4), 5099-5109. doi:10.1002/cam4.5254
NLM
Cunha MT, Borges AP de S, Carvalho VJ, Fujita A, Castro Junior G de C. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study [Internet]. Cancer Medicine. 2023 ; 12( 4): 5099-5109.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1002/cam4.5254
Vancouver
Cunha MT, Borges AP de S, Carvalho VJ, Fujita A, Castro Junior G de C. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study [Internet]. Cancer Medicine. 2023 ; 12( 4): 5099-5109.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1002/cam4.5254
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RELVAS, Carlos E. M. et al. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification. Journal of Bioinformatics and Computational Biology, v. 21, n. artigo 2350019, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1142/S0219720023500191. Acesso em: 08 nov. 2024.
APA
Relvas, C. E. M., Nakata, A., Chen, G., Beer, D. G., Gotoh, N., & Fujita, A. (2023). A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification. Journal of Bioinformatics and Computational Biology, 21( artigo 2350019), 1-26. doi:10.1142/S0219720023500191
NLM
Relvas CEM, Nakata A, Chen G, Beer DG, Gotoh N, Fujita A. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification [Internet]. Journal of Bioinformatics and Computational Biology. 2023 ; 21( artigo 2350019): 1-26.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1142/S0219720023500191
Vancouver
Relvas CEM, Nakata A, Chen G, Beer DG, Gotoh N, Fujita A. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification [Internet]. Journal of Bioinformatics and Computational Biology. 2023 ; 21( artigo 2350019): 1-26.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1142/S0219720023500191
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BATALHA, Caio M. P. F e FUJITA, André e SOUZA-PINTO, Nadja Cristhina de. Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues. bioRxiv, 2023Tradução . . Disponível em: https://doi.org/10.1101/2023.05.26.542445. Acesso em: 08 nov. 2024.
APA
Batalha, C. M. P. F., Fujita, A., & Souza-Pinto, N. C. de. (2023). Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues. bioRxiv. doi:10.1101/2023.05.26.542445
NLM
Batalha CMPF, Fujita A, Souza-Pinto NC de. Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues [Internet]. bioRxiv. 2023 ;[citado 2024 nov. 08 ] Available from: https://doi.org/10.1101/2023.05.26.542445
Vancouver
Batalha CMPF, Fujita A, Souza-Pinto NC de. Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues [Internet]. bioRxiv. 2023 ;[citado 2024 nov. 08 ] Available from: https://doi.org/10.1101/2023.05.26.542445
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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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.1093/comnet/cnad005
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FARHAT, Luis C. et al. Networks of neurodevelopmental traits, socioenvironmental factors, emotional dysregulation in childhood, and depressive symptoms across development in two U.K. cohorts. American Journal of Psychiatry, v. 180, n. 10, p. 755-765, 2023Tradução . . Disponível em: https://doi.org/10.1176/appi.ajp.20220868. Acesso em: 08 nov. 2024.
APA
Farhat, L. C., Blakey, R., Davey Smith, G., Fujita, A., Shephard, E., Stergiakouli, E., et al. (2023). Networks of neurodevelopmental traits, socioenvironmental factors, emotional dysregulation in childhood, and depressive symptoms across development in two U.K. cohorts. American Journal of Psychiatry, 180( 10), 755-765. doi:10.1176/appi.ajp.20220868
NLM
Farhat LC, Blakey R, Davey Smith G, Fujita A, Shephard E, Stergiakouli E, Eley TC, Thapar A, Polanczyk GV. Networks of neurodevelopmental traits, socioenvironmental factors, emotional dysregulation in childhood, and depressive symptoms across development in two U.K. cohorts [Internet]. American Journal of Psychiatry. 2023 ; 180( 10): 755-765.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1176/appi.ajp.20220868
Vancouver
Farhat LC, Blakey R, Davey Smith G, Fujita A, Shephard E, Stergiakouli E, Eley TC, Thapar A, Polanczyk GV. Networks of neurodevelopmental traits, socioenvironmental factors, emotional dysregulation in childhood, and depressive symptoms across development in two U.K. cohorts [Internet]. American Journal of Psychiatry. 2023 ; 180( 10): 755-765.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1176/appi.ajp.20220868
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RIUS, Flávia Eichemberger et al. Genome-wide promoter methylation profling in a cellular model of melanoma progression reveals markers of malignancy and metastasis that predict melanoma survival. Clinical Epigenetics, v. 14, n. artigo 68, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1186/s13148-022-01291-x. Acesso em: 08 nov. 2024.
APA
Rius, F. E., Papaiz, D. D. 'A., Azevedo, H., Ayub, A. L. P., Pessoa, D. de O., Oliveira, T. F. de, et al. (2022). Genome-wide promoter methylation profling in a cellular model of melanoma progression reveals markers of malignancy and metastasis that predict melanoma survival. Clinical Epigenetics, 14( artigo 68), 1-20. doi:10.1186/s13148-022-01291-x
NLM
Rius FE, Papaiz DD'A, Azevedo H, Ayub ALP, Pessoa D de O, Oliveira TF de, Loureiro AP de M, Andrade F, Fujita A, Reis EM, Mason CE, Jasiulionis MG. Genome-wide promoter methylation profling in a cellular model of melanoma progression reveals markers of malignancy and metastasis that predict melanoma survival [Internet]. Clinical Epigenetics. 2022 ; 14( artigo 68): 1-20.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1186/s13148-022-01291-x
Vancouver
Rius FE, Papaiz DD'A, Azevedo H, Ayub ALP, Pessoa D de O, Oliveira TF de, Loureiro AP de M, Andrade F, Fujita A, Reis EM, Mason CE, Jasiulionis MG. Genome-wide promoter methylation profling in a cellular model of melanoma progression reveals markers of malignancy and metastasis that predict melanoma survival [Internet]. Clinical Epigenetics. 2022 ; 14( artigo 68): 1-20.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1186/s13148-022-01291-x
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OKU, Amanda Yumi Ambriola et al. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms. Frontiers in Computational Neuroscience, v. 16, 2022Tradução . . Disponível em: https://doi.org/10.3389/fncom.2022.975743. Acesso em: 08 nov. 2024.
APA
Oku, A. Y. A., Barreto, C., Bruneri, G., Brockington, G., Fujita, A., & Sato, J. R. (2022). Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms. Frontiers in Computational Neuroscience, 16. doi:10.3389/fncom.2022.975743
NLM
Oku AYA, Barreto C, Bruneri G, Brockington G, Fujita A, Sato JR. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms [Internet]. Frontiers in Computational Neuroscience. 2022 ; 16[citado 2024 nov. 08 ] Available from: https://doi.org/10.3389/fncom.2022.975743
Vancouver
Oku AYA, Barreto C, Bruneri G, Brockington G, Fujita A, Sato JR. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms [Internet]. Frontiers in Computational Neuroscience. 2022 ; 16[citado 2024 nov. 08 ] Available from: https://doi.org/10.3389/fncom.2022.975743
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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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.1093/comnet/cnac022
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COSTA, Diogo Ricardo da et al. Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards. Chaos, Solitons & Fractals, v. 155, n. artigo 111707, p. 1-8, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111707. Acesso em: 08 nov. 2024.
APA
Costa, D. R. da, Fujita, A., Batista, A. M., Sales, M. R., & Szezech Junior, J. D. (2022). Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards. Chaos, Solitons & Fractals, 155( artigo 111707), 1-8. doi:10.1016/j.chaos.2021.111707
NLM
Costa DR da, Fujita A, Batista AM, Sales MR, Szezech Junior JD. Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards [Internet]. Chaos, Solitons & Fractals. 2022 ; 155( artigo 111707): 1-8.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.chaos.2021.111707
Vancouver
Costa DR da, Fujita A, Batista AM, Sales MR, Szezech Junior JD. Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards [Internet]. Chaos, Solitons & Fractals. 2022 ; 155( artigo 111707): 1-8.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.chaos.2021.111707
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FARFÁN, Carlos Enrique Paucar et al. Heart rate variability predicts the subject-driven cognitive states. Research Square, 2022Tradução . . Disponível em: https://doi.org/10.21203/rs.3.rs-1957712/v1. Acesso em: 08 nov. 2024.
APA
Farfán, C. E. P., Bruel, P., Goldman, A., Takahashi, D. Y., & Fujita, A. (2022). Heart rate variability predicts the subject-driven cognitive states. Research Square. doi:10.21203/rs.3.rs-1957712/v1
NLM
Farfán CEP, Bruel P, Goldman A, Takahashi DY, Fujita A. Heart rate variability predicts the subject-driven cognitive states [Internet]. Research Square. 2022 ;[citado 2024 nov. 08 ] Available from: https://doi.org/10.21203/rs.3.rs-1957712/v1
Vancouver
Farfán CEP, Bruel P, Goldman A, Takahashi DY, Fujita A. Heart rate variability predicts the subject-driven cognitive states [Internet]. Research Square. 2022 ;[citado 2024 nov. 08 ] Available from: https://doi.org/10.21203/rs.3.rs-1957712/v1
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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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.1093/comnet/cnac040
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COSTA, Diogo Ricardo da et al. Dynamical properties for a tunable circular to polygonal billiard. Brazilian Journal of Physics, v. 52, n. artigo 75, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1007/s13538-022-01075-x. Acesso em: 08 nov. 2024.
APA
Costa, D. R. da, Fujita, A., Sales, M. R., Szezech Jr., J. D., & Batista, A. M. (2022). Dynamical properties for a tunable circular to polygonal billiard. Brazilian Journal of Physics, 52( artigo 75), 1-10. doi:10.1007/s13538-022-01075-x
NLM
Costa DR da, Fujita A, Sales MR, Szezech Jr. JD, Batista AM. Dynamical properties for a tunable circular to polygonal billiard [Internet]. Brazilian Journal of Physics. 2022 ; 52( artigo 75): 1-10.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1007/s13538-022-01075-x
Vancouver
Costa DR da, Fujita A, Sales MR, Szezech Jr. JD, Batista AM. Dynamical properties for a tunable circular to polygonal billiard [Internet]. Brazilian Journal of Physics. 2022 ; 52( artigo 75): 1-10.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1007/s13538-022-01075-x
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BIAZZI, Renata Biaggi e FUJITA, André e TAKAHASHI, Daniel Yasumasa. Predicting soft robot's locomotion fitness. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3449726.3459417. Acesso em: 08 nov. 2024.
APA
Biazzi, R. B., Fujita, A., & Takahashi, D. Y. (2021). Predicting soft robot's locomotion fitness. In Proceedings. New York: ACM. doi:10.1145/3449726.3459417
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SANTOS, Suzana de Siqueira e FUJITA, André e MATIAS, Catherine. Spectral density of random graphs: convergence properties and application in model fitting. Journal of Complex Networks, v. 9, n. 6, p. 1-27, 2021Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnab041. Acesso em: 08 nov. 2024.
APA
Santos, S. de S., Fujita, A., & Matias, C. (2021). Spectral density of random graphs: convergence properties and application in model fitting. Journal of Complex Networks, 9( 6), 1-27. doi:10.1093/comnet/cnab041
NLM
Santos S de S, Fujita A, Matias C. Spectral density of random graphs: convergence properties and application in model fitting [Internet]. Journal of Complex Networks. 2021 ; 9( 6): 1-27.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1093/comnet/cnab041
Vancouver
Santos S de S, Fujita A, Matias C. Spectral density of random graphs: convergence properties and application in model fitting [Internet]. Journal of Complex Networks. 2021 ; 9( 6): 1-27.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1093/comnet/cnab041
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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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.1016/j.ins.2021.09.057