Підписатись
Dilyara Bareeva
Dilyara Bareeva
PhD Candidate in Interpretability
Підтверджена електронна адреса в hhi.fraunhofer.de
Назва
Посилання
Посилання
Рік
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
2462023
Finding the right XAI method—A guide for the evaluation and ranking of explainable AI methods in climate science
PL Bommer, M Kretschmer, A Hedström, D Bareeva, MMC Höhne
Artificial Intelligence for the Earth Systems 3 (3), e230074, 2024
442024
Manipulating feature visualizations with gradient slingshots
D Bareeva, MMC Höhne, A Warnecke, L Pirch, KR Müller, K Rieck, ...
arXiv preprint arXiv:2401.06122, 2024
32024
Beyond scalars: Concept-based alignment analysis in vision transformers
J Vielhaben, D Bareeva, J Berend, W Samek, N Strodthoff
arXiv preprint arXiv:2412.06639, 2024
12024
Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond
D Bareeva, GÜ Yolcu, A Hedström, N Schmolenski, T Wiegand, W Samek, ...
arXiv preprint arXiv:2410.07158, 2024
2024
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression
D Bareeva, M Dreyer, F Pahde, W Samek, S Lapuschkin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 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
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