| A unifying review of deep and shallow anomaly detection L Ruff, JR Kauffmann, RA Vandermeulen, G Montavon, W Samek, M Kloft, ... Proceedings of the IEEE 109 (5), 756-795, 2021 | 1092 | 2021 |
| From clustering to cluster explanations via neural networks J Kauffmann, M Esders, L Ruff, G Montavon, W Samek, KR Müller IEEE Transactions on Neural Networks and Learning Systems 35 (2), 1926-1940, 2022 | 119 | 2022 |
| Towards explaining anomalies: a deep Taylor decomposition of one-class models J Kauffmann, KR Müller, G Montavon Pattern Recognition 101, 107198, 2020 | 118 | 2020 |
| The clever Hans effect in anomaly detection J Kauffmann, L Ruff, G Montavon, KR Müller arXiv preprint arXiv:2006.10609, 2020 | 44 | 2020 |
| Explaining the predictions of unsupervised learning models G Montavon, J Kauffmann, W Samek, KR Müller International Workshop on Extending Explainable AI Beyond Deep Models and …, 2020 | 42 | 2020 |
| The clever hans effect in unsupervised learning J Kauffmann, J Dippel, L Ruff, W Samek, KR Müller, G Montavon arXiv preprint arXiv:2408.08041, 2024 | 4 | 2024 |
| XAI for unsupervised learning J Kauffmann | | 2024 |
| Unsupervised Detection and Explanation of Latent-class Contextual Anomalies J Kauffmann, G Montavon, LA Lima, S Nakajima, KR Müller, N Görnitz arXiv preprint arXiv:1806.11326, 2018 | | 2018 |
