Barros, Marcel Rodrigues de 
; Rissi, Thiago Lizier; Cabrera, Eduardo Faria; Tannuri, Eduardo Aoun ; Gomi, Edson Satoshi ; Barreira, Rodrigo Augusto ; Reali Costa, Anna Helena
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems -BRACIS 2023: Proceedings, Part 1. Unidade: EP
Assuntos: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS)
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ABNT
BARROS, Marcel Rodrigues de et al. Embracing data irregularities in multivariate time series with recurrent and graph neural networks. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-45368-7_1. Acesso em: 19 nov. 2025. , 2023APA
Barros, M. R. de, Rissi, T. L., Cabrera, E. F., Tannuri, E. A., Gomi, E. S., Barreira, R. A., & Reali Costa, A. H. (2023). Embracing data irregularities in multivariate time series with recurrent and graph neural networks. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-45368-7_1NLM
Barros MR de, Rissi TL, Cabrera EF, Tannuri EA, Gomi ES, Barreira RA, Reali Costa AH. Embracing data irregularities in multivariate time series with recurrent and graph neural networks [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 3-17.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_1Vancouver
Barros MR de, Rissi TL, Cabrera EF, Tannuri EA, Gomi ES, Barreira RA, Reali Costa AH. Embracing data irregularities in multivariate time series with recurrent and graph neural networks [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 3-17.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_1
