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1 Ergebnisse
1
High-Order Faithful Interpretation Methods for Tensor-Based..:
, In:
2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
,
Chen, Pengxu
;
Liu, Huazhong
;
Zhang, Hanning
... - p. 680-687 , 2023
Link:
https://doi.org/10.1109/ISPA-BDCloud-SocialCom-Sustain..
RT T1 <cTitle>2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)</cTitle>: T1 <Title>High-Order Faithful Interpretation Methods for Tensor-Based CNNs</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10491753&Exemplar=1&LAN=DE A1 Chen, Pengxu A1 Liu, Huazhong A1 Zhang, Hanning A1 Ding, Jihong A1 Zhang, Yunfan A1 Chen, Dehua YR 2023 K1 Tensors K1 Convolution K1 Neural networks K1 Machine learning K1 Big Data K1 Convolutional neural networks K1 Data mining K1 Interpretable Machine Learning K1 Tensor-Based Convolutional Neural Network K1 High-Order Interpretability SP 680 OP 687 LK http://dx.doi.org/https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00121 DO https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom59178.2023.00121 SF ELIB - SuUB Bremen
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