| 2025 | KI | Toward Simple and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance. | Yuliia Kaidashova, Bettina Finzel, Ute Schmid |
| 2025 | KI | Re-evaluating the Robustness and Interpretability of the Contrastive Explanations Method for Image Classification. | Luisa Schneider, Bettina Finzel, Ute Schmid |
| 2024 | IDEAL | Near Hit and Near Miss Example Explanations for Model Revision in Binary Image Classification. | Bettina Finzel, Judith Knoblach, Anna Magdalena Thaler, Ute Schmid |
| 2022 | ICPR | CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition. | Ines Rieger, Jaspar Pahl, Bettina Finzel, Ute Schmid |
| 2022 | ILP | Explaining with Attribute-Based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust. | Bettina Finzel, Simon P. Kuhn, David E. Tafler, Ute Schmid |
| 2021 | KI | Explanation as a Process: User-Centric Construction of Multi-level and Multi-modal Explanations. | Bettina Finzel, David E. Tafler, Stephan Scheele, Ute Schmid |
| 2020 | ESANN | Verifying Deep Learning-based Decisions for Facial Expression Recognition. | Ines Rieger, Rene Kollmann, Bettina Finzel, Dominik Seuss, Ute Schmid |
| 2017 | BTW | Towards Understanding Mobility in Museums. | Golnaz Elmamooz, Bettina Finzel, Daniela Nicklas |