ReP USP - Resultado da busca

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: 30 abr. 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 abr. 30 ] 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 abr. 30 ] 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: 30 abr. 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 abr. 30 ] 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 abr. 30 ] 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: 30 abr. 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 abr. 30 ] 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 abr. 30 ] Available from: https://doi.org/10.1016/j.chaos.2022.112306
Artigo de periodico
Machine-learning-based forecasting of dengue fever in Brazilian cities using epidemiologic and meteorological variables (2022)
Roster, Kirstin ; Connaughton, Colm ; Rodrigues, Francisco Aparecido
Source: American Journal of Epidemiology. Unidade: ICMC
Subjects: DENGUE, SAÚDE PÚBLICA, APRENDIZADO COMPUTACIONAL, PREDIÇÃO
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. Machine-learning-based forecasting of dengue fever in Brazilian cities using epidemiologic and meteorological variables. American Journal of Epidemiology, v. 191, n. 10, p. 1803–1812, 2022Tradução . . Disponível em: https://doi.org/10.1093/aje/kwac090. Acesso em: 30 abr. 2024.
APA
Roster, K., Connaughton, C., & Rodrigues, F. A. (2022). Machine-learning-based forecasting of dengue fever in Brazilian cities using epidemiologic and meteorological variables. American Journal of Epidemiology, 191( 10), 1803–1812. doi:10.1093/aje/kwac090
NLM
Roster K, Connaughton C, Rodrigues FA. Machine-learning-based forecasting of dengue fever in Brazilian cities using epidemiologic and meteorological variables [Internet]. American Journal of Epidemiology. 2022 ; 191( 10): 1803–1812.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1093/aje/kwac090
Vancouver
Roster K, Connaughton C, Rodrigues FA. Machine-learning-based forecasting of dengue fever in Brazilian cities using epidemiologic and meteorological variables [Internet]. American Journal of Epidemiology. 2022 ; 191( 10): 1803–1812.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1093/aje/kwac090
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: 30 abr. 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 abr. 30 ] 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 abr. 30 ] 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: 30 abr. 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 abr. 30 ] 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 abr. 30 ] Available from: https://doi.org/10.1093/ije/dyab168.572
Trabalho de evento
Discovering causal factors of drought in Ethiopia (2020)
Noorbakhsh, Mohammad ; Connaughton, Colm ; Rodrigues, Francisco Aparecido
Source: Proceedings. Conference titles: International Conference on Climate Informatics. Unidade: ICMC
Subjects: SECA, EL NIÑO, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NOORBAKHSH, Mohammad e CONNAUGHTON, Colm e RODRIGUES, Francisco Aparecido. Discovering causal factors of drought in Ethiopia. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3429309.3429320. Acesso em: 30 abr. 2024.
APA
Noorbakhsh, M., Connaughton, C., & Rodrigues, F. A. (2020). Discovering causal factors of drought in Ethiopia. In Proceedings. New York: ACM. doi:10.1145/3429309.3429320
NLM
Noorbakhsh M, Connaughton C, Rodrigues FA. Discovering causal factors of drought in Ethiopia [Internet]. Proceedings. 2020 ;[citado 2024 abr. 30 ] Available from: https://doi.org/10.1145/3429309.3429320
Vancouver
Noorbakhsh M, Connaughton C, Rodrigues FA. Discovering causal factors of drought in Ethiopia [Internet]. Proceedings. 2020 ;[citado 2024 abr. 30 ] Available from: https://doi.org/10.1145/3429309.3429320
Artigo de periodico
Disease and information spreading at different speeds in multiplex networks (2020)
Velasquez-Rojas, Fatima; Silva, Paulo Cesar Ventura da ; Connaughton, Colm ; Moreno, Yamir ; Rodrigues, Francisco Aparecido ; Vazquez, Federico
Source: Physical Review E. Unidades: ICMC, IFSC
Subjects: CONTROLE DE DOENÇAS TRANSMISSÍVEIS, SURTOS DE DOENÇAS, COMPORTAMENTO, MATEMÁTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VELASQUEZ-ROJAS, Fatima et al. Disease and information spreading at different speeds in multiplex networks. Physical Review E, v. 102, n. 2, p. 022312-1-022312-10, 2020Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.102.022312. Acesso em: 30 abr. 2024.
APA
Velasquez-Rojas, F., Silva, P. C. V. da, Connaughton, C., Moreno, Y., Rodrigues, F. A., & Vazquez, F. (2020). Disease and information spreading at different speeds in multiplex networks. Physical Review E, 102( 2), 022312-1-022312-10. doi:10.1103/PhysRevE.102.022312
NLM
Velasquez-Rojas F, Silva PCV da, Connaughton C, Moreno Y, Rodrigues FA, Vazquez F. Disease and information spreading at different speeds in multiplex networks [Internet]. Physical Review E. 2020 ; 102( 2): 022312-1-022312-10.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1103/PhysRevE.102.022312
Vancouver
Velasquez-Rojas F, Silva PCV da, Connaughton C, Moreno Y, Rodrigues FA, Vazquez F. Disease and information spreading at different speeds in multiplex networks [Internet]. Physical Review E. 2020 ; 102( 2): 022312-1-022312-10.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1103/PhysRevE.102.022312
Artigo de periodico
Epidemic spreading with awareness and different timescales in multiplex networks (2019)
Silva, Paulo Cesar Ventura da ; Velasquez-Rojas, Fatima; Connaughton, Colm ; Vazquez, Federico; Moreno, Yamir ; Rodrigues, Francisco Aparecido
Source: Physical Review E. Unidades: ICMC, IFSC
Subjects: CONTROLE DE DOENÇAS TRANSMISSÍVEIS, SURTOS DE DOENÇAS, COMPORTAMENTO, MATEMÁTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Paulo Cesar Ventura da et al. Epidemic spreading with awareness and different timescales in multiplex networks. Physical Review E, v. 100, n. 3, p. 032313-1-032313-11, 2019Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.100.032313. Acesso em: 30 abr. 2024.
APA
Silva, P. C. V. da, Velasquez-Rojas, F., Connaughton, C., Vazquez, F., Moreno, Y., & Rodrigues, F. A. (2019). Epidemic spreading with awareness and different timescales in multiplex networks. Physical Review E, 100( 3), 032313-1-032313-11. doi:10.1103/PhysRevE.100.032313
NLM
Silva PCV da, Velasquez-Rojas F, Connaughton C, Vazquez F, Moreno Y, Rodrigues FA. Epidemic spreading with awareness and different timescales in multiplex networks [Internet]. Physical Review E. 2019 ; 100( 3): 032313-1-032313-11.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1103/PhysRevE.100.032313
Vancouver
Silva PCV da, Velasquez-Rojas F, Connaughton C, Vazquez F, Moreno Y, Rodrigues FA. Epidemic spreading with awareness and different timescales in multiplex networks [Internet]. Physical Review E. 2019 ; 100( 3): 032313-1-032313-11.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1103/PhysRevE.100.032313

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Subjects

Source title

Funding Agencies

Indexado em

Non normalized affiliation