Bayesian autoencoders with uncertainty quantification: Towards
trustworthy anomaly detection

Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection

Expert systems with applications (ESWA), 2022

25 February 2022

Bang Xiang Yong

Alexandra Brintrup

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Papers citing "Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection"

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Title
Graph Evidential Learning for Anomaly Detection Chunyu Wei Wenji Hu Xingjia Hao Yunhai Wang Yueguo Chen Bing Bai Haiwei Yang 123 1 0 31 May 2025
Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection Yunbo Long Zhengyang Ling Sam Brook Duncan McFarlane Alexandra Brintrup 239 2 0 24 Sep 2024
Explainability through uncertainty: Trustworthy decision-making with neural networksEuropean Journal of Operational Research (EJOR), 2023 Arthur Thuy Dries F. Benoit 218 33 0 15 Mar 2024
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected ReconstructionPattern Recognition (Pattern Recogn.), 2023 Xu Tan Jiawei Yang Junqi Chen S. Rahardja S. Rahardja UQCV 275 4 0 03 Apr 2023