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A Deep Nonnegative Matrix Factorization Approach via Autoencoder for Nonlinear Fault Detection 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 8, 页码: 5042-5052
作者:  Ren, Zelin;  Zhang, Wensheng;  Zhang, Zhizhong
Adobe PDF(2122Kb)  |  收藏  |  浏览/下载：325/47  |  提交时间：2020/07/06
data-driven fault detection  deep autoencoder  nonlinear industrial process  nonnegative matrix factorization (NMF)  
PKGCN: prior knowledge enhanced graph convolutional network for graph-based semi-supervised learning 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3115-3127
作者:  Yu, Shaowei;  Yang, Xuebing;  Zhang, Wensheng
浏览  |  Adobe PDF(1959Kb)  |  收藏  |  浏览/下载：299/42  |  提交时间：2020/03/30
Graph convolutional network  Semi-supervised learning  Prior knowledge  Node classification  
Multi-task Character-Level Attentional Networks for Medical Concept Normalization 期刊论文
NEURAL PROCESSING LETTERS, 2019, 卷号: 49, 期号: 3, 页码: 1239-1256
作者:  Niu, Jinghao;  Yang, Yehui;  Zhang, Siheng;  Sun, Zhengya;  Zhang, Wensheng
浏览  |  Adobe PDF(756Kb)  |  收藏  |  浏览/下载：406/83  |  提交时间：2019/12/16
Convolutional neural network  Multi-task learning  Medical concept normalization