Dynamic time series smoothing for symbolic interval data applied to neuroscience (2020)
Source: Information Sciences. Unidades: FMRP, ICMC, INTER: ICMC -UFSCAR
Subjects: ANÁLISE DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, ELETROENCEFALOGRAFIA
ABNT
NASCIMENTO, Diego Carvalho et al. Dynamic time series smoothing for symbolic interval data applied to neuroscience. Information Sciences, v. 517, p. 415-426, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.12.026. Acesso em: 13 nov. 2024.APA
Nascimento, D. C., Pimentel, B. A., Souza, R., Leite, J. P., Edwards, D. J., Pontelli, T. E. G. dos S., & Louzada, F. (2020). Dynamic time series smoothing for symbolic interval data applied to neuroscience. Information Sciences, 517, 415-426. doi:10.1016/j.ins.2019.12.026NLM
Nascimento DC, Pimentel BA, Souza R, Leite JP, Edwards DJ, Pontelli TEG dos S, Louzada F. Dynamic time series smoothing for symbolic interval data applied to neuroscience [Internet]. Information Sciences. 2020 ;517 415-426.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.ins.2019.12.026Vancouver
Nascimento DC, Pimentel BA, Souza R, Leite JP, Edwards DJ, Pontelli TEG dos S, Louzada F. Dynamic time series smoothing for symbolic interval data applied to neuroscience [Internet]. Information Sciences. 2020 ;517 415-426.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.ins.2019.12.026