A survey on explainable anomaly detection Z Li, Y Zhu, M van Leeuwen ACM Transactions on Knowledge Discovery from Data 18 (1), 1–54, 2023 | 35 | 2023 |
Explainable Contextual Anomaly Detection using Quantile Regression Forests Z Li, M van Leeuwen Data Mining and Knowledge Discovery, 2023 | 5* | 2023 |
Graph Neural Network based Log Anomaly Detection and Explanation Z Li, J Shi, M van Leeuwen arXiv preprint arXiv:2307.00527, 2023 | 3 | 2023 |
Choosing and changing the analysis scale in non-inferiority trials with a binary outcome Z Li, M Quartagno, S Böhringer, N van Geloven Clinical Trials 19 (1), 14-21, 2022 | 3 | 2022 |
Feature Selection for Fault Detection and Prediction based on Event Log Analysis Z Li, M van Leeuwen ACM SIGKDD Explorations Newsletter 24 (2), 96-104, 2022 | 2 | 2022 |