A new interpretable unsupervised anomaly detection method based on residual explanation

14 March 2021

Papers citing "A new interpretable unsupervised anomaly detection method based on residual explanation"

3 / 3 papers shown

Title
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey Haotian Zhang S. D. Semujju Zhicheng Wang Xianwei Lv Kang Xu ... Jing Wu Zhuo Long Wensheng Liang Xiaoguang Ma Ruiyan Zhuang UQCV AI4TS AI4CE 29 4 0 11 Dec 2023
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series Max Schemmer Joshua Holstein Niklas Bauer Niklas Kühl G. Satzger 33 2 0 07 Feb 2023
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,684 0 28 Feb 2017