| Comprehensible artificial intelligence on knowledge graphs: A survey S Schramm, C Wehner, U Schmid Journal of Web Semantics 79, 100806, 2023 | 16 | 2023 |
| Explainable online lane change predictions on a digital twin with a layer normalized lstm and layer-wise relevance propagation C Wehner, F Powlesland, B Altakrouri, U Schmid International Conference on Industrial, Engineering and Other Applications …, 2022 | 9 | 2022 |
| Interactive and intelligent root cause analysis in manufacturing with causal Bayesian networks and knowledge graphs C Wehner, M Kertel, J Wewerka 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-7, 2023 | 5 | 2023 |
| ManuKnowVis: How to Support Different User Groups in Contextualizing and Leveraging Knowledge Repositories J Eirich, D Jäckle, M Sedlmair, C Wehner, U Schmid, J Bernard, T Schreck IEEE Transactions on Visualization and Computer Graphics 29 (8), 3441-3457, 2023 | 4 | 2023 |
| Anwendung von Causal-Discovery-Algorithmen zur Root-Cause-Analyse in der Fahrzeugmontage L Possner, L Bahr, L Roehl, C Wehner, S Groeger arXiv preprint arXiv:2407.16388, 2024 | | 2024 |
| Knowledge Graph Enhanced Retrieval-Augmented Generation for Failure Mode and Effects Analysis L Bahr, C Wehner, J Wewerka, J Bittencourt, U Schmid, R Daub arXiv preprint arXiv:2406.18114, 2024 | | 2024 |
| From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures C Wehner, C Iliopoulou, TR Besold arXiv preprint arXiv:2406.01759, 2024 | | 2024 |
Ute SchmidProfessor of Cognitive Systems, University of BambergVerified email at uni-bamberg.de
