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Benchmarking the Attribution Quality of Vision Models
Attribution maps are one of the most established tools to explain the functioning of computer vision models. They assign importance scores to input features, indicating how... -
Normalization of Anomaly Detection Scores Based on Antagonistic Fuzzy-sets - ...
Normalization of Anomaly Detection Scores Based on Antagonistic Fuzzy-sets - Evaluation Tests conducted for the paper: Interpreting and Unifying Anomaly Scores with Antagonistic... -
Experimental Data for the Paper "Subgroup Discovery with Small and Alternativ...
These are the experimental data for the paper Bach, Jakob. "Subgroup Discovery with Small and Alternative Feature Sets" The paper was accepted at the conference SIGMOD 2025.... -
Experimental Data for the Paper "Using Constraints to Discover Sparse and Alt...
These are the experimental data for the second version (v2) of the paper Bach, Jakob. "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" This version... -
Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Al...
These are the experimental data for the third version (v3) of the paper Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" This version of... -
Experimental Data for the Dissertation "Leveraging Constraints for User-Centr...
These are the experimental data for the dissertation Bach, Jakob. "Leveraging Constraints for User-Centric Feature Selection" at the Department of Informatics of the Karlsruhe... -
Experimental Data for the Paper "Alternative feature selection with user cont...
These are the experimental data for the paper Bach, Jakob, and Klemens Böhm. "Alternative feature selection with user control" published in the International Journal of Data... -
Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Al...
These are the experimental data for the paper Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" published on arXiv in 2023. You can find... -
Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Al...
These are the experimental data for the second version (v2) of the paper Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" published on... -
Experimental Data for the Paper "Using Constraints to Discover Sparse and Alt...
These are the experimental data for the paper Bach, Jakob. "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" published on arXiv in 2024. You can... -
Fast Axiomatic Attribution for Neural Networks
Mitigating the dependence on spurious correlations present in the training dataset is a quickly emerging and important topic of deep learning. Recent approaches include priors...