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Kang Liu 0011
Person information
- affiliation: Guangdong University of Foreign Studies, School of Business, Guangzhou, China
- affiliation (former): Sun Yat-sen University, School of Business, Guangzhou, China
Other persons with the same name
- Kang Liu — disambiguation page
- Kang Liu 0001
— Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- Kang Liu 0002 — Leibniz Universität Hannover, Germany
- Kang Liu 0003 — Wuhan University, School of Remote Sensing and Information Engineering, CVRS Lab, China
- Kang Liu 0004 — Central South University, Hunan, China
- Kang Liu 0005 — University of Western Ontario London, Canada
- Kang Liu 0006
- Kang Liu 0007 — Harbin Engineering University, China
- Kang Liu 0008
- Kang Liu 0009
- Kang Liu 0010
- Kang Liu 0012 — German Aerospace Center, Remote Sensing Technology Institute, Wessling, Germany
- Kang Liu 0013 — City University of Hong Kong, Department of Building and Construction, Hong Kong
- Kang Liu 0014
- Kang Liu 0015 — Xidian University, National Key Lab for Radar Signal Processing / Institute of Intelligent Information Processing, Xi'an, China
- Kang Liu 0016 — Beijing University of Posts and Telecommunications, Department of Automation, China
- Kang Liu 0017
- Kang Liu 0018 — Henan University of Science and Technology, College of Information Engineering, Luoyang, China
- Kang Liu 0019 — Northwestern Polytechnical University, MOE Key Laboratory of Micro/Nano Systems for Aerospace, Xi'an, China
- Kang Liu 0020 — Chinese Academy of Sciences, Engineering Center for Space Utilization, Beijing, China
- Kang Liu 0021
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2020 – today
- 2024
- [j9]Bo Liu
Interpretable subgroup learning-based modeling framework: Study of diabetic kidney disease prediction. Health Informatics J. 30(4) (2024) - [j8]Mingyang Zhang, Xiangzhou Zhang, Mingyang Dai, Lijuan Wu, Kang Liu, Hongnian Wang
Development and validation of a Multi-Causal investigation and discovery framework for knowledge harmonization (MINDMerge): A case study with acute kidney injury risk factor discovery using electronic medical records. Int. J. Medical Informatics 191: 105588 (2024) - 2022
- [j7]Xiangzhou Zhang
A hybrid adaptive approach for instance transfer learning with dynamic and imbalanced data. Int. J. Intell. Syst. 37(12): 11582-11599 (2022) - [j6]Kang Liu, Borong Yuan, Xiangzhou Zhang, Weiqi Chen
Characterizing the temporal changes in association between modifiable risk factors and acute kidney injury with multi-view analysis. Int. J. Medical Informatics 163: 104785 (2022) - [j5]Lijuan Wu
Temporal dynamics of clinical risk predictors for hospital-acquired acute kidney injury under different forecast time windows. Knowl. Based Syst. 245: 108655 (2022) - 2020
- [j4]Lijuan Wu, Yong Hu, Borong Yuan, Xiangzhou Zhang
Which risk predictors are more likely to indicate severe AKI in hospitalized patients? Int. J. Medical Informatics 143: 104270 (2020)
2010 – 2019
- 2018
- [j3]Weiqi Chen
Causal risk factor discovery for severe acute kidney injury using electronic health records. BMC Medical Informatics Decis. Mak. 18(S-1): 57-63 (2018) - 2015
- [j2]Yong Hu, Kang Liu, Xiangzhou Zhang
Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review. Appl. Soft Comput. 36: 534-551 (2015) - [j1]Yong Hu, Kang Liu, Xiangzhou Zhang
Concept drift mining of portfolio selection factors in stock market. Electron. Commer. Res. Appl. 14(6): 444-455 (2015) - 2014
- [c3]Yong Hu, Kang Liu, Bin Feng, Lijun Su, Xiangzhou Zhang
Concept Drift Mining of Fundamental Variables in China Stock Market. 3PGCIC 2014: 62-68 - [c2]Weiqi Chen
Discovering Many-to-One Causality in Software Project Risk Analysis. 3PGCIC 2014: 316-323 - 2013
- [c1]Yong Hu, Bin Feng, Xiangzhou Zhang
iTrade: An Adaptive Risk-Adjusted Intelligent Stock Trading System from the Perspective of Concept Drift. EIDWT 2013: 160-167
Coauthor Index
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