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 | 16 | 2021 |
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 | 3 | 2022 |
Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances N Penzel, J Kierdorf, R Roscher, J Denzler 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW …, 2023 | 1 | 2023 |
Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization J Blunk, N Penzel, P Bodesheim, J Denzler | 1 | 2023 |
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out T Piater, N Penzel, G Stein, J Denzler arXiv preprint arXiv:2404.12295, 2024 | | 2024 |
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change N Penzel, G Stein, J Denzler arXiv preprint arXiv:2404.12292, 2024 | | 2024 |
The Power of Properties: Uncovering the Influential Factors in Emotion Classification T Büchner, N Penzel, O Guntinas-Lichius, J Denzler arXiv preprint arXiv:2404.07867, 2024 | | 2024 |
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 |
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 |