| Explainable deep one-class classification P Liznerski, L Ruff, RA Vandermeulen, BJ Franks, M Kloft, KR Müller arXiv preprint arXiv:2007.01760, 2020 | 164 | 2020 |
| Rethinking assumptions in deep anomaly detection L Ruff, RA Vandermeulen, BJ Franks, KR Müller, M Kloft arXiv preprint arXiv:2006.00339, 2020 | 80 | 2020 |
| Exposing outlier exposure: What can be learned from few, one, and zero outlier images P Liznerski, L Ruff, RA Vandermeulen, BJ Franks, KR Müller, M Kloft arXiv preprint arXiv:2205.11474, 2022 | 14 | 2022 |
| Explainable deep one-class classification. arXiv 2020 P Liznerski, L Ruff, RA Vandermeulen, BJ Franks, M Kloft, KR Müller arXiv preprint arXiv:2007.01760, 0 | 6 | |
| Explainable deep one-class classification (2020) P Liznerski, L Ruff, RA Vandermeulen, BJ Franks, M Kloft, KR Müller arXiv preprint arXiv:2007.01760, 2007 | 5 | 2007 |
| Ordinal Regression for Difficulty Prediction of StepMania Levels BJ Franks, B Dinkelmann, M Kloft, S Fellenz Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
| A Systematic Approach to Universal Random Features in Graph Neural Networks BJ Franks, M Anders, M Kloft, P Schweitzer Transactions on Machine Learning Research, 2023 | | 2023 |
| Deep Anomaly Detection on Tennessee Eastman Process Data F Hartung, BJ Franks, T Michels, D Wagner, P Liznerski, S Reithermann, ... Chemie Ingenieur Technik, 2023 | | 2023 |
| Ordinal Regression for Difficulty Estimation of StepMania Levels BJ Franks, B Dinkelmann, S Fellenz, M Kloft arXiv preprint arXiv:2301.09485, 2023 | | 2023 |
| A systematic approach to random data augmentation on graph neural networks BJ Franks, M Anders, M Kloft, P Schweitzer arXiv preprint arXiv:2112.04314, 2021 | | 2021 |
Marius KloftRPTU Kaiserslautern-LandauVerified email at cs.uni-kl.de
