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Niklas Penzel
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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
92021
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
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