Triple-VAE: a triple variational autoencoder to represent events in one-class event detection (2021)
- Authors:
- USP affiliated authors: MARCACINI, RICARDO MARCONDES - ICMC ; GÔLO, MARCOS PAULO SILVA - ICMC
- Unidade: ICMC
- Subjects: APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE PADRÕES
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2021
- Source:
- Título: Anais
- Conference titles: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC
-
ABNT
GÔLO, Marcos Paulo Silva e ROSSI, Rafael Geraldeli e MARCACINI, Ricardo Marcondes. Triple-VAE: a triple variational autoencoder to represent events in one-class event detection. 2021, Anais.. Porto Alegre: SBC, 2021. Disponível em: https://sol.sbc.org.br/index.php/eniac/article/view/18291. Acesso em: 09 fev. 2026. -
APA
Gôlo, M. P. S., Rossi, R. G., & Marcacini, R. M. (2021). Triple-VAE: a triple variational autoencoder to represent events in one-class event detection. In Anais. Porto Alegre: SBC. Recuperado de https://sol.sbc.org.br/index.php/eniac/article/view/18291 -
NLM
Gôlo MPS, Rossi RG, Marcacini RM. Triple-VAE: a triple variational autoencoder to represent events in one-class event detection [Internet]. Anais. 2021 ;[citado 2026 fev. 09 ] Available from: https://sol.sbc.org.br/index.php/eniac/article/view/18291 -
Vancouver
Gôlo MPS, Rossi RG, Marcacini RM. Triple-VAE: a triple variational autoencoder to represent events in one-class event detection [Internet]. Anais. 2021 ;[citado 2026 fev. 09 ] Available from: https://sol.sbc.org.br/index.php/eniac/article/view/18291 - Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models
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