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Artigo de periodico
Forecasting infectious diseases in Brazilian cities: integrating socio-economic and geographic data from related cities through a machine learning approach (2024)
Lober, Luiza ; Roster, Kirstin ; Rodrigues, Francisco Aparecido
Source: Chaos, Solitons and Fractals. Unidade: ICMC
Subjects: MODELAGEM DE EPIDEMIA, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), APRENDIZADO COMPUTACIONAL, CIDADES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOBER, Luiza e ROSTER, Kirstin e RODRIGUES, Francisco Aparecido. Forecasting infectious diseases in Brazilian cities: integrating socio-economic and geographic data from related cities through a machine learning approach. Chaos, Solitons and Fractals, v. 187, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2024.115417. Acesso em: 14 nov. 2024.
APA
Lober, L., Roster, K., & Rodrigues, F. A. (2024). Forecasting infectious diseases in Brazilian cities: integrating socio-economic and geographic data from related cities through a machine learning approach. Chaos, Solitons and Fractals, 187. doi:10.1016/j.chaos.2024.115417
NLM
Lober L, Roster K, Rodrigues FA. Forecasting infectious diseases in Brazilian cities: integrating socio-economic and geographic data from related cities through a machine learning approach [Internet]. Chaos, Solitons and Fractals. 2024 ; 187[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.chaos.2024.115417
Vancouver
Lober L, Roster K, Rodrigues FA. Forecasting infectious diseases in Brazilian cities: integrating socio-economic and geographic data from related cities through a machine learning approach [Internet]. Chaos, Solitons and Fractals. 2024 ; 187[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.chaos.2024.115417
Artigo de periodico
A Markov chain for metapopulations of small sizes with attraction landscape (2023)
Silva, Paulo Cesar Ventura da ; Tokuda, Eric Keiji ; Costa, Luciano da Fontoura ; Rodrigues, Francisco Aparecido
Source: Chaos, Solitons and Fractals. Unidades: IFSC, ICMC
Subjects: COMPLEXIDADE, CIÊNCIAS SOCIAIS, MÉTODOS MCMC, CADEIAS DE MARKOV
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Paulo Cesar Ventura da et al. A Markov chain for metapopulations of small sizes with attraction landscape. Chaos, Solitons and Fractals, v. 167, p. 113003-1-113003-8, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2022.113003. Acesso em: 14 nov. 2024.
APA
Silva, P. C. V. da, Tokuda, E. K., Costa, L. da F., & Rodrigues, F. A. (2023). A Markov chain for metapopulations of small sizes with attraction landscape. Chaos, Solitons and Fractals, 167, 113003-1-113003-8. doi:10.1016/j.chaos.2022.113003
NLM
Silva PCV da, Tokuda EK, Costa L da F, Rodrigues FA. A Markov chain for metapopulations of small sizes with attraction landscape [Internet]. Chaos, Solitons and Fractals. 2023 ; 167 113003-1-113003-8.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.chaos.2022.113003
Vancouver
Silva PCV da, Tokuda EK, Costa L da F, Rodrigues FA. A Markov chain for metapopulations of small sizes with attraction landscape [Internet]. Chaos, Solitons and Fractals. 2023 ; 167 113003-1-113003-8.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.chaos.2022.113003
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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] Available from: https://doi.org/10.1016/j.chaos.2022.112306
Artigo de periodico
Epidemic spreading in populations of mobile agents with adaptive behavioral response (2022)
Silva, Paulo Cesar Ventura da ; Aleta, Alberto ; Rodrigues, Francisco Aparecido ; Moreno, Yamir
Source: Chaos, Solitons and Fractals. Unidades: ICMC, IFSC
Subjects: SURTOS DE DOENÇAS, MOBILIDADE URBANA, COMPORTAMENTO
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 in populations of mobile agents with adaptive behavioral response. Chaos, Solitons and Fractals, v. 156, p. 111849-1-111849-10, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2022.111849. Acesso em: 14 nov. 2024.
APA
Silva, P. C. V. da, Aleta, A., Rodrigues, F. A., & Moreno, Y. (2022). Epidemic spreading in populations of mobile agents with adaptive behavioral response. Chaos, Solitons and Fractals, 156, 111849-1-111849-10. doi:10.1016/j.chaos.2022.111849
NLM
Silva PCV da, Aleta A, Rodrigues FA, Moreno Y. Epidemic spreading in populations of mobile agents with adaptive behavioral response [Internet]. Chaos, Solitons and Fractals. 2022 ; 156 111849-1-111849-10.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.chaos.2022.111849
Vancouver
Silva PCV da, Aleta A, Rodrigues FA, Moreno Y. Epidemic spreading in populations of mobile agents with adaptive behavioral response [Internet]. Chaos, Solitons and Fractals. 2022 ; 156 111849-1-111849-10.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.chaos.2022.111849
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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] Available from: https://doi.org/10.1016/j.chaos.2021.111588

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