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Cited By

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

ArXiv (abs)PDF HTML

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

4 / 4 papers shown

Graph Evidential Learning for Anomaly Detection

Graph Evidential Learning for Anomaly Detection

148

2

0

31 May 2025

Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly
Detection

Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection

Duncan McFarlane

Alexandra Brintrup

265

2

0

24 Sep 2024

Explainability through uncertainty: Trustworthy decision-making with
neural networks

Explainability through uncertainty: Trustworthy decision-making with neural networksEuropean Journal of Operational Research (EJOR), 2023

Dries F. Benoit

252

34

0

15 Mar 2024

MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected
Reconstruction

MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected ReconstructionPattern Recognition (Pattern Recogn.), 2023

309

4

0

03 Apr 2023

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