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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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ABNT
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: 15 out. 2024.
APA
Alexandre, M., Xavier, F. J., Silva, T. C., & Rodrigues, F. A. (2023). The determinants of the individual nestedness contribution in financial systems. Europhysics Letters, 141( 4), 42001-p1-42001-p7. doi:10.1209/0295-5075/acba42
NLM
Alexandre M, Xavier FJ, Silva TC, Rodrigues FA. The determinants of the individual nestedness contribution in financial systems [Internet]. Europhysics Letters. 2023 ; 141( 4): 42001-p1-42001-p7.[citado 2024 out. 15 ] Available from: https://doi.org/10.1209/0295-5075/acba42
Vancouver
Alexandre M, Xavier FJ, Silva TC, Rodrigues FA. The determinants of the individual nestedness contribution in financial systems [Internet]. Europhysics Letters. 2023 ; 141( 4): 42001-p1-42001-p7.[citado 2024 out. 15 ] 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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ABNT
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: 15 out. 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
NLM
Alexandre M, Silva TC, Michalak K, Rodrigues FA. Does the default pecking order impact systemic risk?: evidence from Brazilian data [Internet]. European Journal of Operational Research. 2023 ; 309 1379-1391.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.ejor.2023.01.043
Vancouver
Alexandre M, Silva TC, Michalak K, Rodrigues FA. Does the default pecking order impact systemic risk?: evidence from Brazilian data [Internet]. European Journal of Operational Research. 2023 ; 309 1379-1391.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.ejor.2023.01.043
Artigo de periodico-carta/editorial
Brazil's Indigenous schools...[Editorial] (2023)
Gonçalves, André Calixto ; Valentim, Rodolfo; Rodrigues, Francisco Aparecido ; Fernandes, Ivan Filipe
Source: Nature: international weekly journal of science. Unidade: ICMC
Subjects: GRUPOS INDÍGENAS, EDUCAÇÃO ESCOLAR, ACULTURAÇÃO, LÍNGUAS INDÍGENAS
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ABNT
GONÇALVES, André Calixto et al. Brazil's Indigenous schools..[Editorial]. Nature: international weekly journal of science. London: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1038/d41586-023-03187-z. Acesso em: 15 out. 2024. , 2023
APA
Gonçalves, A. C., Valentim, R., Rodrigues, F. A., & Fernandes, I. F. (2023). Brazil's Indigenous schools..[Editorial]. Nature: international weekly journal of science. London: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1038/d41586-023-03187-z
NLM
Gonçalves AC, Valentim R, Rodrigues FA, Fernandes IF. Brazil's Indigenous schools..[Editorial] [Internet]. Nature: international weekly journal of science. 2023 ; 622 242.[citado 2024 out. 15 ] Available from: https://doi.org/10.1038/d41586-023-03187-z
Vancouver
Gonçalves AC, Valentim R, Rodrigues FA, Fernandes IF. Brazil's Indigenous schools..[Editorial] [Internet]. Nature: international weekly journal of science. 2023 ; 622 242.[citado 2024 out. 15 ] Available from: https://doi.org/10.1038/d41586-023-03187-z
Artigo de periodico
Machine learning-based prediction of Q-voter model in complex networks (2023)
Pineda, Aruane Mello ; Kent, Paul; Connaughton, Colm ; Rodrigues, Francisco Aparecido
Source: Journal of Statistical Mechanics. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMUNICAÇÃO, REDES DE INFORMAÇÃO
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ABNT
PINEDA, Aruane Mello et al. Machine learning-based prediction of Q-voter model in complex networks. Journal of Statistical Mechanics, v. 2023, p. 1-33, 2023Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/ad06a6. Acesso em: 15 out. 2024.
APA
Pineda, A. M., Kent, P., Connaughton, C., & Rodrigues, F. A. (2023). Machine learning-based prediction of Q-voter model in complex networks. Journal of Statistical Mechanics, 2023, 1-33. doi:10.1088/1742-5468/ad06a6
NLM
Pineda AM, Kent P, Connaughton C, Rodrigues FA. Machine learning-based prediction of Q-voter model in complex networks [Internet]. Journal of Statistical Mechanics. 2023 ; 2023 1-33.[citado 2024 out. 15 ] Available from: https://doi.org/10.1088/1742-5468/ad06a6
Vancouver
Pineda AM, Kent P, Connaughton C, Rodrigues FA. Machine learning-based prediction of Q-voter model in complex networks [Internet]. Journal of Statistical Mechanics. 2023 ; 2023 1-33.[citado 2024 out. 15 ] Available from: https://doi.org/10.1088/1742-5468/ad06a6
Artigo de periodico
Machine learning in physics: a short guide (2023)
Rodrigues, Francisco Aparecido
Source: Europhysics Letters. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, APRENDIZAGEM PROFUNDA, FÍSICA
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ABNT
RODRIGUES, Francisco Aparecido. Machine learning in physics: a short guide. Europhysics Letters, v. 144, n. 2, p. 22001-p1-22001-p7, 2023Tradução . . Disponível em: https://doi.org/10.1209/0295-5075/ad0575. Acesso em: 15 out. 2024.
APA
Rodrigues, F. A. (2023). Machine learning in physics: a short guide. Europhysics Letters, 144( 2), 22001-p1-22001-p7. doi:10.1209/0295-5075/ad0575
NLM
Rodrigues FA. Machine learning in physics: a short guide [Internet]. Europhysics Letters. 2023 ; 144( 2): 22001-p1-22001-p7.[citado 2024 out. 15 ] Available from: https://doi.org/10.1209/0295-5075/ad0575
Vancouver
Rodrigues FA. Machine learning in physics: a short guide [Internet]. Europhysics Letters. 2023 ; 144( 2): 22001-p1-22001-p7.[citado 2024 out. 15 ] Available from: https://doi.org/10.1209/0295-5075/ad0575
Artigo de periodico
Forecasting new diseases in low-data settings using transfer learning (2022)
Roster, Kirstin ; Connaughton, Colm ; Rodrigues, Francisco Aparecido
Source: Chaos, Solitons and Fractals. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COVID-19, ZIKA VÍRUS, TOMADA DE DECISÃO, SURTOS DE DOENÇAS
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ABNT
ROSTER, Kirstin e CONNAUGHTON, Colm e RODRIGUES, Francisco Aparecido. Forecasting new diseases in low-data settings using transfer learning. Chaos, Solitons and Fractals, v. 161, p. 1-8, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2022.112306. Acesso em: 15 out. 2024.
APA
Roster, K., Connaughton, C., & Rodrigues, F. A. (2022). Forecasting new diseases in low-data settings using transfer learning. Chaos, Solitons and Fractals, 161, 1-8. doi:10.1016/j.chaos.2022.112306
NLM
Roster K, Connaughton C, Rodrigues FA. Forecasting new diseases in low-data settings using transfer learning [Internet]. Chaos, Solitons and Fractals. 2022 ; 161 1-8.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.chaos.2022.112306
Vancouver
Roster K, Connaughton C, Rodrigues FA. Forecasting new diseases in low-data settings using transfer learning [Internet]. Chaos, Solitons and Fractals. 2022 ; 161 1-8.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.chaos.2022.112306
Artigo de periodico
From subcritical behavior to a correlation-induced transition in rumor models (2022)
Arruda, Guilherme Ferraz de ; Jeub, Lucas G. S ; Mata, Angélica Sousa da ; Rodrigues, Francisco Aparecido ; Moreno, Yamir
Source: Nature Communications. Unidade: ICMC
Subjects: INFORMAÇÃO, MODELOS MATEMÁTICOS, CADEIAS DE MARKOV, BOATO
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ABNT
ARRUDA, Guilherme Ferraz de et al. From subcritical behavior to a correlation-induced transition in rumor models. Nature Communications, v. 13, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41467-022-30683-z. Acesso em: 15 out. 2024.
APA
Arruda, G. F. de, Jeub, L. G. S., Mata, A. S. da, Rodrigues, F. A., & Moreno, Y. (2022). From subcritical behavior to a correlation-induced transition in rumor models. Nature Communications, 13, 1-10. doi:10.1038/s41467-022-30683-z
NLM
Arruda GF de, Jeub LGS, Mata AS da, Rodrigues FA, Moreno Y. From subcritical behavior to a correlation-induced transition in rumor models [Internet]. Nature Communications. 2022 ; 13 1-10.[citado 2024 out. 15 ] Available from: https://doi.org/10.1038/s41467-022-30683-z
Vancouver
Arruda GF de, Jeub LGS, Mata AS da, Rodrigues FA, Moreno Y. From subcritical behavior to a correlation-induced transition in rumor models [Internet]. Nature Communications. 2022 ; 13 1-10.[citado 2024 out. 15 ] Available from: https://doi.org/10.1038/s41467-022-30683-z
Artigo de periodico
Impact of the distribution of recovery rates on disease spreading in complex networks (2020)
Arruda, Guilherme Ferraz de ; Petri, Giovanni ; Rodrigues, Francisco Aparecido ; Moreno, Yamir
Source: Physical Review Research. Unidade: ICMC
Subjects: SURTOS DE DOENÇAS, HETEROGENEIDADE, REDES COMPLEXAS
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ABNT
ARRUDA, Guilherme Ferraz de et al. Impact of the distribution of recovery rates on disease spreading in complex networks. Physical Review Research, v. 2, n. 1, p. 013046-1-013046-8, 2020Tradução . . Disponível em: https://doi.org/10.1103/PhysRevResearch.2.013046. Acesso em: 15 out. 2024.
APA
Arruda, G. F. de, Petri, G., Rodrigues, F. A., & Moreno, Y. (2020). Impact of the distribution of recovery rates on disease spreading in complex networks. Physical Review Research, 2( 1), 013046-1-013046-8. doi:10.1103/PhysRevResearch.2.013046
NLM
Arruda GF de, Petri G, Rodrigues FA, Moreno Y. Impact of the distribution of recovery rates on disease spreading in complex networks [Internet]. Physical Review Research. 2020 ; 2( 1): 013046-1-013046-8.[citado 2024 out. 15 ] Available from: https://doi.org/10.1103/PhysRevResearch.2.013046
Vancouver
Arruda GF de, Petri G, Rodrigues FA, Moreno Y. Impact of the distribution of recovery rates on disease spreading in complex networks [Internet]. Physical Review Research. 2020 ; 2( 1): 013046-1-013046-8.[citado 2024 out. 15 ] Available from: https://doi.org/10.1103/PhysRevResearch.2.013046
Artigo de periodico
Collective dynamics of random Janus oscillator networks (2020)
Peron, Thomas ; Eroglu, Deniz ; Rodrigues, Francisco Aparecido ; Moreno, Yamir
Source: Physical Review Research. Unidade: ICMC
Subjects: OSCILADORES, TOPOLOGIA, ASSIMETRIA
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ABNT
PERON, Thomas et al. Collective dynamics of random Janus oscillator networks. Physical Review Research, v. 2, n. 1, p. 013255-1-013255-9, 2020Tradução . . Disponível em: https://doi.org/10.1103/PhysRevResearch.2.013255. Acesso em: 15 out. 2024.
APA
Peron, T., Eroglu, D., Rodrigues, F. A., & Moreno, Y. (2020). Collective dynamics of random Janus oscillator networks. Physical Review Research, 2( 1), 013255-1-013255-9. doi:10.1103/PhysRevResearch.2.013255
NLM
Peron T, Eroglu D, Rodrigues FA, Moreno Y. Collective dynamics of random Janus oscillator networks [Internet]. Physical Review Research. 2020 ; 2( 1): 013255-1-013255-9.[citado 2024 out. 15 ] Available from: https://doi.org/10.1103/PhysRevResearch.2.013255
Vancouver
Peron T, Eroglu D, Rodrigues FA, Moreno Y. Collective dynamics of random Janus oscillator networks [Internet]. Physical Review Research. 2020 ; 2( 1): 013255-1-013255-9.[citado 2024 out. 15 ] Available from: https://doi.org/10.1103/PhysRevResearch.2.013255
Artigo de periodico
Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks (2020)
Arruda, Guilherme Ferraz de ; Méndez-Bermúdez, J. A ; Rodrigues, Francisco Aparecido ; Moreno, Yamir
Source: Journal of Statistical Mechanics: Theory and Experiment. Unidade: ICMC
Subjects: TEORIA ESPECTRAL, MODELAGEM DE EPIDEMIA, REDES COMPLEXAS
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ABNT
ARRUDA, Guilherme Ferraz de et al. Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks. Journal of Statistical Mechanics: Theory and Experiment, v. 2020, p. 1-10, 2020Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/abbcd4. Acesso em: 15 out. 2024.
APA
Arruda, G. F. de, Méndez-Bermúdez, J. A., Rodrigues, F. A., & Moreno, Y. (2020). Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks. Journal of Statistical Mechanics: Theory and Experiment, 2020, 1-10. doi:10.1088/1742-5468/abbcd4
NLM
Arruda GF de, Méndez-Bermúdez JA, Rodrigues FA, Moreno Y. Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks [Internet]. Journal of Statistical Mechanics: Theory and Experiment. 2020 ; 2020 1-10.[citado 2024 out. 15 ] Available from: https://doi.org/10.1088/1742-5468/abbcd4
Vancouver
Arruda GF de, Méndez-Bermúdez JA, Rodrigues FA, Moreno Y. Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks [Internet]. Journal of Statistical Mechanics: Theory and Experiment. 2020 ; 2020 1-10.[citado 2024 out. 15 ] Available from: https://doi.org/10.1088/1742-5468/abbcd4
Artigo de periodico
Segmentation of large images based on super-pixels and community detection in graphs (2017)
Linares, Oscar A. C; Botelho, Glenda Michele; Rodrigues, Francisco Aparecido ; Batista Neto, João do Espírito Santo
Source: IET Image Processing. Unidade: ICMC
Subjects: RENDERIZAÇÃO, ALGORITMOS PARA IMAGENS, APRENDIZADO COMPUTACIONAL
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ABNT
LINARES, Oscar A. C et al. Segmentation of large images based on super-pixels and community detection in graphs. IET Image Processing, v. 11, n. 12, p. 1219-1228, 2017Tradução . . Disponível em: https://doi.org/10.1049/iet-ipr.2016.0072. Acesso em: 15 out. 2024.
APA
Linares, O. A. C., Botelho, G. M., Rodrigues, F. A., & Batista Neto, J. do E. S. (2017). Segmentation of large images based on super-pixels and community detection in graphs. IET Image Processing, 11( 12), 1219-1228. doi:10.1049/iet-ipr.2016.0072
NLM
Linares OAC, Botelho GM, Rodrigues FA, Batista Neto J do ES. Segmentation of large images based on super-pixels and community detection in graphs [Internet]. IET Image Processing. 2017 ; 11( 12): 1219-1228.[citado 2024 out. 15 ] Available from: https://doi.org/10.1049/iet-ipr.2016.0072
Vancouver
Linares OAC, Botelho GM, Rodrigues FA, Batista Neto J do ES. Segmentation of large images based on super-pixels and community detection in graphs [Internet]. IET Image Processing. 2017 ; 11( 12): 1219-1228.[citado 2024 out. 15 ] Available from: https://doi.org/10.1049/iet-ipr.2016.0072

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