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1 Ergebnisse
1
Refining Saliency Maps Using Gaussian Mixture Model:
, In:
2024 IEEE International Conference on Big Data and Smart Computing (BigComp)
,
Han, Seung-Ho
;
Choi, Ho-Jin
- p. 56-59 , 2024
Link:
https://doi.org/10.1109/BigComp60711.2024.00018
RT T1 <cTitle>2024 IEEE International Conference on Big Data and Smart Computing (BigComp)</cTitle>: T1 <Title>Refining Saliency Maps Using Gaussian Mixture Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10488175&Exemplar=1&LAN=DE A1 Han, Seung-Ho A1 Choi, Ho-Jin YR 2024 SN 2375-9356 K1 Deep learning K1 Computational modeling K1 Instruments K1 Noise K1 Refining K1 Probability K1 Reliability K1 Layer-wise Relevance Propagation K1 Gaussian Mixture Model K1 Explainable AI K1 Interpretable AI SP 56 OP 59 LK http://dx.doi.org/https://doi.org/10.1109/BigComp60711.2024.00018 DO https://doi.org/10.1109/BigComp60711.2024.00018 SF ELIB - SuUB Bremen
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