| Conditional dependence tests reveal the usage of ABCD rule features and bias variables in automatic skin lesion classification C Reimers, N Penzel, P Bodesheim, J Runge, J Denzler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 9 | 2021 |
| Interpreting Art by Leveraging Pre-Trained Models N Penzel, J Denzler 2023 18th International Conference on Machine Vision and Applications (MVA), 1-6, 2023 | | 2023 |
| Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances N Penzel, J Kierdorf, R Roscher, J Denzler Proceedings of the IEEE/CVF International Conference on Computer Vision, 572-581, 2023 | | 2023 |
| Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization J Blunk, N Penzel, P Bodesheim, J Denzler | | 2023 |
| Investigating Neural Network Training on a Feature Level Using Conditional Independence N Penzel, C Reimers, P Bodesheim, J Denzler European Conference on Computer Vision, 383-399, 2022 | | 2022 |
| Investigating the Consistency of Uncertainty Sampling in Deep Active Learning N Penzel, C Reimers, CA Brust, J Denzler DAGM GCPR 2021 43, 159-173, 2021 | | 2021 |
Joachim DenzlerProfessor für Informatik, Friedrich-Schiller University JenaBestätigte E-Mail-Adresse bei uni-jena.de
