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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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Hunting attacks in the dark: clustering and correlation analysis for unsupervised anomaly detectionMazel, Johan ; Casas, Pedro ; Fontugne, Romain ; Fukuda, Kensuke ; Owezarski, PhilippeInternational journal of network management, 2015-09, Vol.25 (5), p.283-305 [Periódico revisado por pares]Chichester: Blackwell Publishing LtdTexto completo disponível |
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Material Type: Artigo
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An Efficient Method to Detect Outliers in High Dimensional DataGarg, Atul ; Kaur, KamaljeetJournal of computational and theoretical nanoscience, 2019-09, Vol.16 (9), p.3938-394426650 The Old Road, Suite 208, Valencia, California 91381, USA: American Scientific PublishersSem texto completo |
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Material Type: Artigo
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A Review on Outlier/Anomaly Detection in Time Series DataBlázquez-García, Ane ; Conde, Angel ; Mori, Usue ; Lozano, Jose A.ACM computing surveys, 2022-04, Vol.54 (3), p.1-33 [Periódico revisado por pares]Baltimore: Association for Computing MachineryTexto completo disponível |
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Material Type: Artigo
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A Comprehensive Survey on Graph Anomaly Detection With Deep LearningMa, Xiaoxiao ; Wu, Jia ; Xue, Shan ; Yang, Jian ; Zhou, Chuan ; Sheng, Quan Z. ; Xiong, Hui ; Akoglu, LemanIEEE transactions on knowledge and data engineering, 2023-12, Vol.35 (12), p.12012-12038 [Periódico revisado por pares]New York: IEEETexto completo disponível |
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Material Type: Artigo
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Financial Fraud: A Review of Anomaly Detection Techniques and Recent AdvancesHilal, Waleed ; Gadsden, S. Andrew ; Yawney, JohnExpert systems with applications, 2022-05, Vol.193, p.116429, Article 116429 [Periódico revisado por pares]New York: Elsevier LtdTexto completo disponível |
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Material Type: Artigo
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High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learningErfani, Sarah M. ; Rajasegarar, Sutharshan ; Karunasekera, Shanika ; Leckie, ChristopherPattern recognition, 2016-10, Vol.58, p.121-134 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
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Material Type: Artigo
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adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detectionWang, Xuhong ; Du, Ying ; Lin, Shijie ; Cui, Ping ; Shen, Yuntian ; Yang, YupuKnowledge-based systems, 2020-02, Vol.190, p.105187, Article 105187 [Periódico revisado por pares]Amsterdam: Elsevier B.VTexto completo disponível |
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Material Type: Artigo
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Outlier Dirichlet Mixture Mechanism: Adversarial Statistical Learning for Anomaly Detection in the FogMoustafa, Nour ; Choo, Kim-Kwang Raymond ; Radwan, Ibrahim ; Camtepe, SeyitIEEE transactions on information forensics and security, 2019-08, Vol.14 (8), p.1975-1987 [Periódico revisado por pares]New York: IEEETexto completo disponível |
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Material Type: Artigo
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Anomaly Detection Methods for Categorical Data: A ReviewTaha, Ayman ; Hadi, Ali S.ACM computing surveys, 2019-05, Vol.52 (2), p.1-35, Article 38 [Periódico revisado por pares]New York, NY, USA: ACMTexto completo disponível |