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ORCIDNeurocomputing, Volume 498
Volume 498, August 2022
- Sung-Tae Lee, Hyeongsu Kim, Honam Yoo, Dongseok Kwon, Jong-Ho Lee:
Novel, parallel and differential synaptic architecture based on NAND flash memory for high-density and highly-reliable binary neural networks. 1-13 - Si Shi
, Jianjun Li, Guohui Li, Peng Pan, Qi Chen, Qing Sun:
GPM: A graph convolutional network based reinforcement learning framework for portfolio management. 14-27 - Aloïs Pourchot, Kévin Bailly, Alexis Ducarouge, Olivier Sigaud:
An extensive appraisal of weight-sharing on the NAS-Bench-101 benchmark. 28-42 - Spyridon D. Mourtas, Vasilios N. Katsikis:
Exploiting the Black-Litterman framework through error-correction neural networks. 43-58 - Chuang Zhu, Zheng Hu, Huihui Dong, Gang He, Zekuan Yu, Shangshang Zhang:
Construct informative triplet with two-stage hard-sample generation. 59-74 - Qiong Chen, Zhong-Liang Zhang, Wenpo Huang, Jian Wu, Xing-Gang Luo:
PF-SMOTE: A novel parameter-free SMOTE for imbalanced datasets. 75-88 - Qing-le Zhang, Jun-e Feng, Peixin Zhao:
Controllability of Markovian jump Boolean control networks: A graphical approach. 89-97 - Wenlu Liu, Xueyan Yang, Rajan Rakkiyappan, Xiaodi Li:
Dynamic analysis of delayed neural networks: Event-triggered impulsive Halanay inequality approach. 98-107
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