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1 Ergebnisse
1
An Experimental Study of Quantitative Evaluations on Salien..:
, In:
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
,
Li, Xiao-Hui
;
Shi, Yuhan
;
Li, Haoyang
... - p. 3200-3208 , 2021
Link:
https://dl.acm.org/doi/10.1145/3447548.3467148
RT T1 <cTitle>Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>An Experimental Study of Quantitative Evaluations on Saliency Methods</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3467148&Exemplar=1&LAN=DE A1 Li, Xiao-Hui A1 Shi, Yuhan A1 Li, Haoyang A1 Bai, Wei A1 Cao, Caleb Chen A1 Chen, Lei PB ACM YR 2021 K1 evaluation K1 explainable artificial intelligence K1 metrics K1 model diagnosis K1 General and reference K1 Cross-computing tools and techniques K1 Metrics K1 Computing methodologies K1 Artificial intelligence K1 Human-centered computing K1 Visualization K1 Visualization design and evaluation methods K1 Visualization techniques K1 Heat maps SP 3200 OP 3208 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3447548.3467148 DO https://dl.acm.org/doi/10.1145/3447548.3467148 SF ELIB - SuUB Bremen
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