| 2026 | ESANN | Local Concept Embeddings in the Context of Self-Supervised Learning. | Kim Paulke, Hans-Oliver Hansen, Thomas Martinetz, Gesina Schwalbe |
| 2025 | RV | Hidden-Layer Monitoring for Out-of-Distribution Localization in Image Segmentation. | Jan Kretnsk, Sabine Rieder, Gesina Schwalbe, Youssef Shoeb |
| 2024 | CVPR | Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study. | Pallavi Mitra, Gesina Schwalbe, Nadja Klein |
| 2024 | ECCV | Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? | Jae Hee Lee, Georgii Mikriukov, Gesina Schwalbe, Stefan Wermter, Diedrich Wolter |
| 2024 | WACV | Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes. | Youssef Shoeb, Robin Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Gney, Hanno Gottschalk |
| 2023 | CVPR | Interpretable Model-Agnostic Plausibility Verification for 2D Object Detectors Using Domain-Invariant Concept Bottleneck Models. | Mert Keser, Gesina Schwalbe, Azarm Nowzad, Alois Knoll |
| 2020 | KI | Expressive Explanations of DNNs by Combining Concept Analysis with ILP. | Johannes Rabold, Gesina Schwalbe, Ute Schmid |
| 2020 | SAFECOMP | Structuring the Safety Argumentation for Deep Neural Network Based Perception in Automotive Applications. | Gesina Schwalbe, Bernhard Knie, Timo Smann, Timo Dobberphul, Lydia Gauerhof, Shervin Raafatnia, Vittorio Rocco |