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An attention-based multi-task model for named entity recognition and intent analysis of Chinese online medical questions 期刊论文
Journal of Biomedical Informatics, 2020, 卷号: 108, 期号: 108, 页码: 103511
作者:  Wu, Chaochen;  Luo, Guan;  Guo, Chao;  Ren, Yin;  Zheng, Anni;  Yang, Cheng
Adobe PDF(1191Kb)  |  收藏  |  浏览/下载：207/80  |  提交时间：2020/10/13
Natural language processingDeep learningMulti-task learningNamed entity recognitionIntent analysisInterpretability  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
作者:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
浏览  |  Adobe PDF(2315Kb)  |  收藏  |  浏览/下载：341/63  |  提交时间：2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography  
Color‐Guided Depth Map Super‐Resolution Using a Dual‐Branch Multi‐Scale Residual Network with Channel Interaction 期刊论文
Sensors, 2020, 卷号: 20, 期号: 6, 页码: 1560
作者:  陈睿进;  高伟
浏览  |  Adobe PDF(2336Kb)  |  收藏  |  浏览/下载：265/67  |  提交时间：2020/04/30
Depth Map  Super‐resolution  Guidance  Residual Network  Channel Interaction