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1 Ergebnisse
1
Classification Metrics for Image Explanations: Towards Buil..:
, In:
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency
,
Fresz, Benjamin
;
Lörcher, Lena
;
Huber, Marco
- p. 1-19 , 2024
Link:
https://dl.acm.org/doi/10.1145/3630106.3658537
RT T1 <cTitle>Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency</cTitle>: T1 <Title>Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3658537&Exemplar=1&LAN=DE A1 Fresz, Benjamin A1 Lörcher, Lena A1 Huber, Marco PB ACM YR 2024 K1 XAI K1 eXplainable AI K1 heatmaps K1 objective XAI evaluation K1 psychometric testing K1 quantitative evaluation K1 reliability K1 saliency maps K1 saliency metrics K1 validity K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Interest point and salient region detections K1 General and reference K1 Cross-computing tools and techniques K1 Metrics K1 Machine learning K1 Human-centered computing K1 Human computer interaction (HCI) SP 1 OP 19 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3630106.3658537 DO https://dl.acm.org/doi/10.1145/3630106.3658537 SF ELIB - SuUB Bremen
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