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Artigo de periodico
Cultural heterogeneity constrains diffusion of innovations (2023)
Pineda, Aruane Mello ; Reia, Sandro Martinelli ; Connaughton, Colm ; Fontanari, José Fernando ; Rodrigues, Francisco Aparecido
Source: EPL - Europhysics Letters. Unidades: IFSC, ICMC
Subjects: MODELOS, COMPORTAMENTO SOCIAL (ESTUDO), CONSCIÊNCIA (PERCEPÇÃO), INTELIGÊNCIA COLETIVA, APRENDIZAGEM SOCIAL, FÍSICA TEÓRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINEDA, Aruane Mello et al. Cultural heterogeneity constrains diffusion of innovations. EPL - Europhysics Letters, v. 143, n. 4, p. 42003-p1-42003-p6, 2023Tradução . . Disponível em: https://doi.org/10.1209/0295-5075/aceeab. Acesso em: 13 jun. 2024.
APA
Pineda, A. M., Reia, S. M., Connaughton, C., Fontanari, J. F., & Rodrigues, F. A. (2023). Cultural heterogeneity constrains diffusion of innovations. EPL - Europhysics Letters, 143( 4), 42003-p1-42003-p6. doi:10.1209/0295-5075/aceeab
NLM
Pineda AM, Reia SM, Connaughton C, Fontanari JF, Rodrigues FA. Cultural heterogeneity constrains diffusion of innovations [Internet]. EPL - Europhysics Letters. 2023 ; 143( 4): 42003-p1-42003-p6.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1209/0295-5075/aceeab
Vancouver
Pineda AM, Reia SM, Connaughton C, Fontanari JF, Rodrigues FA. Cultural heterogeneity constrains diffusion of innovations [Internet]. EPL - Europhysics Letters. 2023 ; 143( 4): 42003-p1-42003-p6.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1209/0295-5075/aceeab
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 13 jun. 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 jun. 13 ] 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 jun. 13 ] Available from: https://doi.org/10.1088/1742-5468/ad06a6
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 13 jun. 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 jun. 13 ] 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 jun. 13 ] Available from: https://doi.org/10.1016/j.chaos.2022.112306
Artigo de periodico
The drivers of systemic risk in financial networks: a data-driven machine learning analysis (2021)
Alexandre, Michel ; Silva, Thiago Christiano ; Connaughton, Colm ; Rodrigues, Francisco Aparecido
Source: Chaos, Solitons and Fractals. Unidade: ICMC
Subjects: REDES COMPLEXAS, INSTITUIÇÕES FINANCEIRAS, RISCO (SEGURO)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALEXANDRE, Michel et al. The drivers of systemic risk in financial networks: a data-driven machine learning analysis. Chaos, Solitons and Fractals, v. 153, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111588. Acesso em: 13 jun. 2024.
APA
Alexandre, M., Silva, T. C., Connaughton, C., & Rodrigues, F. A. (2021). The drivers of systemic risk in financial networks: a data-driven machine learning analysis. Chaos, Solitons and Fractals, 153, 1-11. doi:10.1016/j.chaos.2021.111588
NLM
Alexandre M, Silva TC, Connaughton C, Rodrigues FA. The drivers of systemic risk in financial networks: a data-driven machine learning analysis [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-11.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.chaos.2021.111588
Vancouver
Alexandre M, Silva TC, Connaughton C, Rodrigues FA. The drivers of systemic risk in financial networks: a data-driven machine learning analysis [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-11.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1016/j.chaos.2021.111588
Trabalho de evento-resumo periodico
Estimating the causal effect of mobility on Dengue during the COVID-19 pandemic (2021)
Roster, Kirstin ; Connaughton, Colm ; Rodrigues, Francisco Aparecido
Source: International Journal of Epidemiology. Conference titles: IEA World Congress of Epidemiology - WCE. Unidade: ICMC
Subjects: DENGUE, COVID-19, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSTER, Kirstin e CONNAUGHTON, Colm e RODRIGUES, Francisco Aparecido. Estimating the causal effect of mobility on Dengue during the COVID-19 pandemic. International Journal of Epidemiology. Oxford: Oxford University Press. Disponível em: https://doi.org/10.1093/ije/dyab168.572. Acesso em: 13 jun. 2024. , 2021
APA
Roster, K., Connaughton, C., & Rodrigues, F. A. (2021). Estimating the causal effect of mobility on Dengue during the COVID-19 pandemic. International Journal of Epidemiology. Oxford: Oxford University Press. doi:10.1093/ije/dyab168.572
NLM
Roster K, Connaughton C, Rodrigues FA. Estimating the causal effect of mobility on Dengue during the COVID-19 pandemic [Internet]. International Journal of Epidemiology. 2021 ; 50( Supplement_1): i200.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1093/ije/dyab168.572
Vancouver
Roster K, Connaughton C, Rodrigues FA. Estimating the causal effect of mobility on Dengue during the COVID-19 pandemic [Internet]. International Journal of Epidemiology. 2021 ; 50( Supplement_1): i200.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1093/ije/dyab168.572

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