One-class learning for fake news detection through multimodal variational autoencoders (2023)
- Authors:
- USP affiliated authors: REZENDE, SOLANGE OLIVEIRA - ICMC ; MARCACINI, RICARDO MARCONDES - ICMC ; GÔLO, MARCOS PAULO SILVA - ICMC ; SOUZA, MARIANA CARAVANTI DE - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.engappai.2023.106088
- Subjects: APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE TEXTO; FAKE NEWS
- Keywords: Multimodal representation learning; Multimodal variational autoencoder; One-class fake news classification; One-class classification; Fake news classification
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Kidlington
- Date published: 2023
- Source:
- Título do periódico: Engineering Applications of Artificial Intelligence
- ISSN: 0952-1976
- Volume/Número/Paginação/Ano: v. 122, p. 1-23, June 2023
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
GÔLO, Marcos Paulo Silva et al. One-class learning for fake news detection through multimodal variational autoencoders. Engineering Applications of Artificial Intelligence, v. 122, p. 1-23, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2023.106088. Acesso em: 04 jun. 2024. -
APA
Gôlo, M. P. S., Souza, M. C. de, Rossi, R. G., Rezende, S. O., Nogueira, B. M., & Marcacini, R. M. (2023). One-class learning for fake news detection through multimodal variational autoencoders. Engineering Applications of Artificial Intelligence, 122, 1-23. doi:10.1016/j.engappai.2023.106088 -
NLM
Gôlo MPS, Souza MC de, Rossi RG, Rezende SO, Nogueira BM, Marcacini RM. One-class learning for fake news detection through multimodal variational autoencoders [Internet]. Engineering Applications of Artificial Intelligence. 2023 ; 122 1-23.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1016/j.engappai.2023.106088 -
Vancouver
Gôlo MPS, Souza MC de, Rossi RG, Rezende SO, Nogueira BM, Marcacini RM. One-class learning for fake news detection through multimodal variational autoencoders [Internet]. Engineering Applications of Artificial Intelligence. 2023 ; 122 1-23.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1016/j.engappai.2023.106088 - Keywords attention for fake news detection using few positive labels
- Learning textual representations from multiple modalities to detect fake news through one-class learning
- A heterogeneous network-based positive and unlabeled learning approach to detect fake news
- Learning to sense from events via semantic variational autoencoder
- Triple-VAE: a triple variational autoencoder to represent events in one-class event detection
- Text representation through multimodal variational autoencoder for one-class learning
- Text representation through multimodal variational autoencoder for one-class learning
- A network-based positive and unlabeled learning approach for fake news detection
- Uso da mineração de textos na análise exploratória de artigos científicos
- Mineração de textos e semântica: desafios, abordagens e aplicações
Informações sobre o DOI: 10.1016/j.engappai.2023.106088 (Fonte: oaDOI API)
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