Liyun He - researchr alias

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Viewing Publication 1 - 17 from 17

2020

Effective attention-based network for syndrome differentiation of AIDSHuaxin Pang, Shikui Wei, Yufeng Zhao, Liyun He, Jian Wang, Baoyan Liu, Yao Zhao 0001. midm, 20(1):264, 2020. [doi]

2018

A randomization and trial supply management system for adaptive clinical studies of TCM and its scientific research application in recurrent tuberculosisTiancai Wen, Baoyan Liu, Liyun He, Xiaoying Lv, Xin Wang, Yanning Zhang. bibm 2018: 1917-1921 [doi]

2015

Learning-Based Emulation of Sea Surface Wind Fields From Numerical Model Outputs and SAR DataLiyun He, Ronan Fablet, Bertrand Chapron, Jean Tournadre. staeors, 8(10):4742-4750, 2015. [doi]

2014

2013

Aid decision of Chinese traditional patent medicine based on manifold rankingYufeng Zhao, Liyun He, Yufeng Zhao, Baoyan Liu, Ruili Huo, Xianghong Jing. bibm 2013: 330-331 [doi]

2009

Information fusion for indoor localizationPierre Blanchart, Liyun He, François Le Gland. fusion 2009: 2083-2090 [doi]

2007

A Flexible Distributed Maximum Log-Likelihood Scheme for UWB Indoor PositioningBenoît Denis, Liyun He, Laurent Ouvry. wpnc 2007: 77-86 [doi]

2006

Using Positive Region to Reduce the Computational Complexity of Discernibility Matrix MethodHonghai Feng, Zhao Shuo, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li. ieaaie 2006: 1290-1298 [doi]

Using Rough Set to Induce More Abstract Rules from Rule BaseHonghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li, Zhao Shuo. kes 2006: 498-505 [doi]

An Algorithm for Eliminating the Inconsistencies Caused During DiscretizationHonghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yumei Chen, Zhao Shuo. kes 2006: 145-152 [doi]

A Discretization Algorithm That Keeps Positive Regions of All the Decision ClassesHonghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li. kes 2006: 1029-1036 [doi]

Algorithms for Finding and Correcting Four Kinds of Data Mistakes in Information TableHonghai Feng, Xu Hao, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li. kes 2006: 714-719 [doi]

Using Rough Set to Induce All Kinds of Positive Region Knowledge and It s use in SARS Data SetHonghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yumei Chen, Shuo Zhao. incdm 2006: 244-252

2005

Using rough set to induce dependencies between attributes where there are a large amount of missing values: a SARS data applicationHonghai Feng, Baoyan Liu, Liyun He. kcap 2005: 201-202 [doi]

A Rough Set Based Algorithm for Handling Information Systems where there are a Large Number of Missing ValuesHonghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Huang Yong. iicai 2005: 2411-2419

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