| Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems L von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ... IEEE Transactions on Knowledge and Data Engineering, 2021 | 612 | 2021 |
| Harnessing Prior Knowledge for Explainable Machine Learning: An Overview K Beckh, S Müller, M Jakobs, V Toborek, H Tan, R Fischer, P Welke, ... 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 450-463, 2023 | 39* | 2023 |
| Die Nachvollziehbarkeit von KI-Anwendungen in der Medizin: Eine Betrachtung aus juristischer Perspektive mit Beispielszenarien S Hänold, N Schlee, D Antweiler, K Beckh Medizinrecht 39 (6), 516-523, 2021 | 6 | 2021 |
| Supporting verification of news articles with automated search for semantically similar articles V Gupta, K Beckh, S Giesselbach, D Wegener, T Wirtz Proceedings of the workshop Reducing Online Misinformation Through Credible …, 2021 | 6 | 2021 |
| The effect of effort on the allocation of visual attention during the induction of general anesthesia: A SEEV model analysis T Grundgeiger, K Beckh, O Happel Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64 (1 …, 2020 | 4 | 2020 |
| An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning S Müller, V Toborek, K Beckh, M Jakobs, C Bauckhage, P Welke Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 2 | 2023 |
| Digitalization Workflow for Automated Structuring and Standardization of Maintenance Information of Wind Turbines into Domain Standard as a Basis for Reliability KPI Calculation MA Lutz, J Walgern, K Beckh, J Schneider, S Faulstich, S Pfaffel Journal of Physics: Conference Series 2257 (1), 012004, 2022 | 2 | 2022 |
| Digitalisierungsworkflow zur Strukturierung und Standardisierung von Instandhaltungsinformationen von Windenergieanlagen MA Lutz, K Beckh, J Kindermann, J Schneider, J Walgern, S Pfaffel, ... Gesellschaft für Informatik, Bonn, 2021 | 2 | 2021 |
| A Quantitative Human-Grounded Evaluation Process for Explainable Machine Learning. K Beckh, S Müller, S Rüping LWDA, 13-20, 2022 | 1 | 2022 |
| Künstliche Intelligenz im Krankenhaus: Potenziale und Herausforderungen-Eine Fallstudie im Bereich der Notfallversorgung D Antweiler, K Beckh, J Sander, S Rüping Fraunhofer IAIS, 2020 | 1 | 2020 |
| Natural Language Processing in der Medizin. Whitepaper D Antweiler, K Beckh, N Chakraborty, S Giesselbach, K Klug, S Rüping | | 2023 |
| Fusing Multi-label Classification and Semantic Tagging J Kindermann, K Beckh Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" 2738, 88-99, 2020 | | 2020 |
Laura von RuedenResearch Scientist, Fraunhofer IAIS, Fraunhofer Center for Machine LearningVerified email at iais.fraunhofer.de
