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1 Ergebnisse
1
Test Input Selection for Deep Neural Network Enhancement Ba..:
, In:
2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
,
Hao, Yao
;
Huang, Zhiqiu
;
Guo, Hongjing
. - p. 534-545 , 2023
Link:
https://doi.org/10.1109/SANER56733.2023.00056
RT T1
2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
: T1
Test Input Selection for Deep Neural Network Enhancement Based on Multiple-Objective Optimization
UL https://suche.suub.uni-bremen.de/peid=ieee-10123539&Exemplar=1&LAN=DE A1 Hao, Yao A1 Huang, Zhiqiu A1 Guo, Hongjing A1 Shen, Guohua YR 2023 SN 2640-7574 K1 Deep learning K1 Uncertainty K1 Image recognition K1 Neural networks K1 Diversity methods K1 Data models K1 Software K1 deep neural network testing K1 test input selection K1 retraining K1 multiple-objective optimization SP 534 OP 545 LK http://dx.doi.org/https://doi.org/10.1109/SANER56733.2023.00056 DO https://doi.org/10.1109/SANER56733.2023.00056 SF ELIB - SuUB Bremen
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