| A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification PF Jaeger, CT Lüth, L Klein, TJ Bungert International Conference on Learning Representations (ICLR), 2023, 2023 | 39 | 2023 |
| Navigating the pitfalls of active learning evaluation: A systematic framework for meaningful performance assessment C Lüth, T Bungert, L Klein, P Jaeger Advances in Neural Information Processing Systems 36, 2024 | 14* | 2024 |
| Discovering Process Dynamics for Scalable Perovskite Solar Cell Manufacturing with Explainable AI L Klein, S Ziegler, F Laufer, C Debus, M Götz, K Maier‐Hein, UW Paetzold, ... Advanced Materials 36 (7), 2307160, 2024 | 3 | 2024 |
| From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process L Klein, M El-Assady, PF Jäger arXiv preprint arXiv:2207.04969, 2022 | 2 | 2022 |
| Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings L Klein, JBS Carvalho, M El-Assady, P Penna, JM Buhmann, PF Jaeger MIDL 2022, 2021 | 2 | 2021 |
| Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics L Klein, CT Lüth, U Schlegel, TJ Bungert, M El-Assady, PF Jäger arXiv preprint arXiv:2409.16756, 2024 | | 2024 |
| Enhancing predictive imaging biomarker discovery through treatment effect analysis S Xiao, L Klein, J Petersen, P Vollmuth, PF Jaeger, KH Maier-Hein arXiv preprint arXiv:2406.02534, 2024 | | 2024 |
Paul F. JaegerInteractive Machine Learning Research Group at DKFZ在 dkfz.de 的电子邮件经过验证
