Forecasting new diseases in low-data settings using transfer learning (2022)
Roster, Kirstin 
; Connaughton, Colm ; Rodrigues, Francisco Aparecido
Fonte: Chaos, Solitons and Fractals. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, COVID-19, ZIKA VÍRUS, TOMADA DE DECISÃO, SURTOS DE DOENÇAS
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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: 07 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.2022.112306NLM
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. 07 ] Available from: https://doi.org/10.1016/j.chaos.2022.112306Vancouver
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. 07 ] Available from: https://doi.org/10.1016/j.chaos.2022.112306
