Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection

8 September 2019

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

7 / 7 papers shown

Title
Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction Francesco Vitale Marco Pegoraro W. V. Aalst Nicola Mazzocca 57 0 0 17 Feb 2025
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model Khushnaseeb Roshan Aasim Zafar 17 16 0 31 Jul 2023
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data Timur Sattarov Dayananda Herurkar Jörn Hees 30 8 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 26 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 16 50 0 14 Dec 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 16 20 0 04 Mar 2021
Explaining Anomalies Detected by Autoencoders Using SHAP Liat Antwarg Ronnie Mindlin Miller Bracha Shapira Lior Rokach FAtt TDI 19 86 0 06 Mar 2019