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Material Type: Artigo de Congresso
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Learning textual representations from multiple modalities to detect fake news through one-class learningMarcos Paulo Silva Gôlo Mariana Caravanti; Rafael Geraldeli Rossi; Solange Oliveira Rezende; Bruno Nogueira; Ricardo Marcondes Marcacini; Brazilian Symposium on Multimedia and the Web - WebMedia (27. 2021 Belo Horizonte)Proceedings New York : ACM, 2021New York ACM 2021Localização: ICMC - Inst. Ciên. Mat. Computação (PROD-3048912 )(Acessar) |
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Material Type: Artigo
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Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learningMarcos Paulo Silva Gôlo Adailton Ferreira de Araujo; Rafael Geraldeli Rossi; Ricardo Marcondes MarcaciniInformation and Software Technology Amsterdam v. 151, p. 1-12, Nov. 2022Amsterdam 2022Localização: ICMC - Inst. Ciên. Mat. Computação (PROD-3086686 )(Acessar) |
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Material Type: Artigo de Congresso
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On the evaluation of outlier detection and one-class classification methodsLorne Swersky Henrique O Marques; Jörg Sander; Ricardo José Gabrielli Barreto Campello; Arthur Zimek; IEEE International Conference on Data Science and Advanced Analytics - DSAA (3. 2016 Montreal)Proceedings Los Alamitos : IEEE, 2016Los Alamitos IEEE 2016Localização: ICMC - Inst. Ciên. Mat. Computação (PROD-2800296 )(Acessar) |
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Material Type: Artigo
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One-class learning for fake news detection through multimodal variational autoencodersMarcos Paulo Silva Gôlo Mariana Caravanti de Souza; Rafael Geraldeli Rossi; Solange Oliveira Rezende; Bruno Magalhães Nogueira; Ricardo Marcondes MarcaciniEngineering Applications of Artificial Intelligence Kidlington v. 122, p. 1-23, June 2023Kidlington 2023Localização: ICMC - Inst. Ciên. Mat. Computação (PROD-3125638 )(Acessar) |
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Material Type: Artigo
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Deep Learning for Anomaly Detection: A ReviewPang, Guansong ; Shen, Chunhua ; Cao, Longbing ; Hengel, Anton Van DenACM computing surveys, 2021-04, Vol.54 (2), p.1-38 [Periódico revisado por pares]Baltimore: Association for Computing MachineryTexto completo disponível |
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Material Type: Artigo
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Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly DetectionWu, Jingyao ; Zhao, Zhibin ; Sun, Chuang ; Yan, Ruqiang ; Chen, XuefengIEEE transactions on industrial informatics, 2020-12, Vol.16 (12), p.7479-7488Piscataway: IEEETexto completo disponível |
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Material Type: Artigo
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A step-by-step training method for multi generator GANs with application to anomaly detection and cybersecurityAdiban, Mohammad ; Siniscalchi, Sabato Marco ; Salvi, GiampieroNeurocomputing (Amsterdam), 2023-06, Vol.537, p.296-308 [Periódico revisado por pares]Elsevier B.VTexto completo disponível |
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Material Type: Artigo
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Learning Deep Features for One-Class ClassificationPerera, Pramuditha ; Patel, Vishal M.IEEE transactions on image processing, 2019-11, Vol.28 (11), p.5450-5463 [Periódico revisado por pares]United States: IEEETexto completo disponível |
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Material Type: Artigo
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A Unifying Review of Deep and Shallow Anomaly DetectionRuff, Lukas ; Kauffmann, Jacob R. ; Vandermeulen, Robert A. ; Montavon, Gregoire ; Samek, Wojciech ; Kloft, Marius ; Dietterich, Thomas G. ; Muller, Klaus-RobertProceedings of the IEEE, 2021-05, Vol.109 (5), p.756-795 [Periódico revisado por pares]New York: IEEETexto completo disponível |
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Material Type: Artigo
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Less complexity one-class classification approach using construction error of convolutional image transformation networkHayashi, Toshitaka ; Fujita, Hamido ; Hernandez-Matamoros, AndresInformation sciences, 2021-06, Vol.560, p.217-234 [Periódico revisado por pares]Elsevier IncTexto completo disponível |