Quantus: An explainable ai toolkit for responsible evaluation of neural network explanations and beyond A Hedström, L Weber, D Krakowczyk, D Bareeva, F Motzkus, W Samek, ... Journal of Machine Learning Research 24 (34), 1-11, 2023 | 115 | 2023 |
Finding the right XAI method--A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P Bommer, M Kretschmer, A Hedström, D Bareeva, MMC Höhne arXiv preprint arXiv:2303.00652, 2023 | 14 | 2023 |
Manipulating Feature Visualizations with Gradient Slingshots D Bareeva, MMC Höhne, A Warnecke, L Pirch, KR Müller, K Rieck, ... arXiv preprint arXiv:2401.06122, 2024 | 1 | 2024 |
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression D Bareeva, M Dreyer, F Pahde, W Samek, S Lapuschkin arXiv preprint arXiv:2404.09601, 2024 | | 2024 |
Evaluation of explainable AI solutions in climate science P Bommer, M Kretschmer, A Hedstroem, D Bareeva, MMC Hoehne EGU General Assembly Conference Abstracts, EGU-12528, 2023 | | 2023 |
A comparison of explainable AI solutions to a climate change prediction task PL Bommer, M Kretschmer, D Bareeva, K Aksoy, M Höhne EGU General Assembly Conference Abstracts, EGU22-8130, 2022 | | 2022 |