中国科学院计算技术研究所机构知识库

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发表日期：2021

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	Combination of graphics, uncertainty, and semantics: A survey 期刊论文 CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 页码: 14 作者:  Gao, Yuan;  Rafi, Muhammad Adnan 收藏  |  浏览/下载：22/0  |  提交时间：2022/06/21 computer science  graph-based knowledge representation  knowledge representation  probabilistic graphical model  probability
	Systematic Survey of the Alteration of the Faecal Microbiota in Rats With Gastrointestinal Disorder and Modulation by Multicomponent Drugs 期刊论文 FRONTIERS IN PHARMACOLOGY, 2021, 卷号: 12, 页码: 13 作者:  Wu, Yue;  Wu, Yang;  Wu, Hongwei;  Wu, Changxun;  Ji, Enhui;  Xu, Jing;  Zhang, Yi;  Wei, Junying;  Zhao, Yi;  Yang, Hongjun 收藏  |  浏览/下载：28/0  |  提交时间：2022/06/21 XEFP  functional dyspepsia  intestinal flora  metabonomics  network pharmacology
	Deep reinforcement learning in medical imaging: A literature review 期刊论文 MEDICAL IMAGE ANALYSIS, 2021, 卷号: 73, 页码: 20 作者:  Zhou, S. Kevin;  Le, Hoang Ngan;  Luu, Khoa;  Nguyen, Hien, V;  Ayache, Nicholas 收藏  |  浏览/下载：37/0  |  提交时间：2021/12/01 Deep reinforcement learning  Medical imaging  Survey
	A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises 期刊论文 PROCEEDINGS OF THE IEEE, 2021, 卷号: 109, 期号: 5, 页码: 820-838 作者:  Zhou, S. Kevin;  Greenspan, Hayit;  Davatzikos, Christos;  Duncan, James S.;  Van Ginneken, Bram;  Madabhushi, Anant;  Prince, Jerry L.;  Rueckert, Daniel;  Summers, Ronald M. 收藏  |  浏览/下载：34/0  |  提交时间：2021/12/01 Imaging  Medical diagnostic imaging  Image segmentation  Diseases  Task analysis  Medical services  Computed tomography  Deep learning (DL)  medical imaging  survey
	A Comprehensive Survey on Transfer Learning 期刊论文 PROCEEDINGS OF THE IEEE, 2021, 卷号: 109, 期号: 1, 页码: 43-76 作者:  Zhuang, Fuzhen;  Qi, Zhiyuan;  Duan, Keyu;  Xi, Dongbo;  Zhu, Yongchun;  Zhu, Hengshu;  Xiong, Hui;  He, Qing 收藏  |  浏览/下载：59/0  |  提交时间：2021/12/01 Task analysis  Semisupervised learning  Data models  Covariance matrices  Machine learning  Adaptation models  Kernel  Domain adaptation  interpretation  machine learning  transfer learning