| Multi-prototype few-shot learning in histopathology J Deuschel, D Firmbach, CI Geppert, M Eckstein, A Hartmann, V Bruns, ... Proceedings of the IEEE/CVF international conference on computer vision, 620-628, 2021 | 28 | 2021 |
| Uncovering the bias in facial expressions J Deuschel, B Finzel, I Rieger arXiv preprint arXiv:2011.11311, 2020 | 18 | 2020 |
| ADABase: A Multimodal Dataset for Cognitive Load Estimation MP Oppelt, A Foltyn, J Deuschel, NR Lang, N Holzer, BM Eskofier, ... Sensors 23 (1), 340, 2022 | 14 | 2022 |
| Towards reliable multimodal stress detection under distribution shift A Foltyn, J Deuschel Companion Publication of the 2021 International Conference on Multimodal …, 2021 | 8 | 2021 |
| Benchmarking Robustness to Natural Distribution Shifts for Facial Analysis J Deuschel, A Foltyn, LA Adams, JM Vieregge, U Schmid NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021 | 4 | 2021 |
| Evaluating the robustness of multimodal task load estimation models A Foltyn, J Deuschel, NR Lang-Richter, N Holzer, MP Oppelt Frontiers in Computer Science 6, 1371181, 2024 | 2 | 2024 |
| The Role of Uncertainty Quantification for Trustworthy AI J Deuschel, A Foltyn, K Roscher, S Scheele Unlocking Artificial Intelligence: From Theory to Applications, 95-115, 2024 | | 2024 |
| Kolloquium Forschende Frauen 2020: Gender in Gesellschaft 4.0: Beiträge Bamberger Nachwuchswissenschaftlerinnen J Rauscher, J Deuschel, B Finzel, I Rieger, A Wagner, C Velde, ... University of Bamberg Press, 2021 | | 2021 |
