Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, FAKE NEWS
ABNT
GÔLO, Marcos Paulo Silva et al. Learning textual representations from multiple modalities to detect fake news through one-class learning. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3470482.3479634. Acesso em: 15 out. 2024.APA
Gôlo, M. P. S., Caravanti, M., Rossi, R. G., Rezende, S. O., Nogueira, B., & Marcacini, R. M. (2021). Learning textual representations from multiple modalities to detect fake news through one-class learning. In Proceedings. New York: ACM. doi:10.1145/3470482.3479634NLM
Gôlo MPS, Caravanti M, Rossi RG, Rezende SO, Nogueira B, Marcacini RM. Learning textual representations from multiple modalities to detect fake news through one-class learning [Internet]. Proceedings. 2021 ;[citado 2024 out. 15 ] Available from: https://doi.org/10.1145/3470482.3479634Vancouver
Gôlo MPS, Caravanti M, Rossi RG, Rezende SO, Nogueira B, Marcacini RM. Learning textual representations from multiple modalities to detect fake news through one-class learning [Internet]. Proceedings. 2021 ;[citado 2024 out. 15 ] Available from: https://doi.org/10.1145/3470482.3479634