Learning to sense from events via semantic variational autoencoder (2021)
Fonte: PLOS ONE. Unidade: ICMC
Assuntos: RECONHECIMENTO DE TEXTO, APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS)
ABNT
GÔLO, Marcos Paulo Silva e ROSSI, Rafael Geraldeli e MARCACINI, Ricardo Marcondes. Learning to sense from events via semantic variational autoencoder. PLOS ONE, v. 16, n. 2, p. 1-20, 2021Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0260701. Acesso em: 05 jul. 2024.APA
Gôlo, M. P. S., Rossi, R. G., & Marcacini, R. M. (2021). Learning to sense from events via semantic variational autoencoder. PLOS ONE, 16( 2), 1-20. doi:10.1371/journal.pone.0260701NLM
Gôlo MPS, Rossi RG, Marcacini RM. Learning to sense from events via semantic variational autoencoder [Internet]. PLOS ONE. 2021 ; 16( 2): 1-20.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1371/journal.pone.0260701Vancouver
Gôlo MPS, Rossi RG, Marcacini RM. Learning to sense from events via semantic variational autoencoder [Internet]. PLOS ONE. 2021 ; 16( 2): 1-20.[citado 2024 jul. 05 ] Available from: https://doi.org/10.1371/journal.pone.0260701