Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly
Detection

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Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection

8 September 2019

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Papers citing "Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection"

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Title
Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction Francesco Vitale Marco Pegoraro W. V. Aalst Nicola Mazzocca 161 1 0 17 Feb 2025
Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD Valentina Zaccaria Chiara Masiero David Dandolo Gian Antonio Susto AI4CE 45 1 0 29 Apr 2024
AcME-AD: Accelerated Model Explanations for Anomaly Detection Valentina Zaccaria David Dandolo Chiara Masiero Gian Antonio Susto 91 2 0 02 Mar 2024
Try with Simpler -- An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection Lin Yang Jun-Cheng Chen Shutao Gao Zhihao Gong Hongyu Zhang Yue Kang Huaan Li 61 6 0 24 Aug 2023
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model Khushnaseeb Roshan Aasim Zafar 73 17 0 31 Jul 2023
Interpretable Ensembles of Hyper-Rectangles as Base Models A. Konstantinov Lev V. Utkin 109 3 0 15 Mar 2023
A Survey on Explainable Anomaly Detection Zhong Li Yuxuan Zhu M. Leeuwen 115 79 0 13 Oct 2022
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data Timur Sattarov Dayananda Herurkar Jörn Hees 67 9 0 21 Sep 2022
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations Ricardo Müller Marco Schreyer Timur Sattarov Damian Borth AAML MLAU 127 7 0 19 Sep 2022
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP) Khushnaseeb Roshan Aasim Zafar AAML 65 54 0 14 Dec 2021
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data Lev V. Utkin A. Konstantinov Kirill Vishniakov FAtt 113 6 0 16 Jun 2021
Explainable Machine Learning for Fraud Detection I. Psychoula A. Gutmann Pradip Mainali Sharon H. Lee Paul Dunphy F. Petitcolas FaML 139 37 0 13 May 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 59 21 0 04 Mar 2021
A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores Naoya Takeishi Yoshinobu Kawahara TDI FAtt 24 3 0 09 Apr 2020
Explaining Anomalies Detected by Autoencoders Using SHAP Liat Antwarg Ronnie Mindlin Miller Bracha Shapira Lior Rokach FAtt TDI 77 86 0 06 Mar 2019