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ORCIDNeurocomputing, Volume 479
Volume 479, March 2022
- Jianjun Zhang, Ting Wang, Wing W. Y. Ng
, Witold Pedrycz:
Ensembling perturbation-based oversamplers for imbalanced datasets. 1-11 - Fang Chen, Zhongliang Yang, Yongfeng Huang:
A multi-task learning framework for end-to-end aspect sentiment triplet extraction. 12-21 - Jinsheng Wei, Guanming Lu, Jingjie Yan, Yuan Zong:
Learning two groups of discriminative features for micro-expression recognition. 22-36 - Xibin An, Chen Hu, Zhenhua Li, Haoshen Lin, Gang Liu:
Decentralized AdaBoost algorithm over sensor networks. 37-46 - Haoying Li, Yifan Yang, Meng Chang, Shiqi Chen, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen:
SRDiff: Single image super-resolution with diffusion probabilistic models. 47-59 - Humayun Kayesh, Md. Saiful Islam, Junhu Wang, Ryoma J. Ohira, Zhe Wang:
SCAN: A shared causal attention network for adverse drug reactions detection in tweets. 60-74 - Peng Liu, Zonghua Zhang, Zhaozong Meng, Nan Gao, Chao Wang:
PDR-Net: Progressive depth reconstruction network for color guided depth map super-resolution. 75-88 - Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh, Khoat Than:
From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. 89-105 - Mirko Polato, Guglielmo Faggioli, Fabio Aiolli:
PRL: A game theoretic large margin method for interpretable feature learning. 106-120
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