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Xiangzhou Zhang
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Journal Articles
- 2024
- [j21]Bo Liu
, Xiangzhou Zhang, Kang Liu, Xinhou Hu, Eric W. T. Ngai, Weiqi Chen, Ho Yin Chan, Yong Hu, Mei Liu:
Interpretable subgroup learning-based modeling framework: Study of diabetic kidney disease prediction. Health Informatics J. 30(4) (2024) - [j20]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
- [j19]Xiangzhou Zhang
A hybrid adaptive approach for instance transfer learning with dynamic and imbalanced data. Int. J. Intell. Syst. 37(12): 11582-11599 (2022) - [j18]Lijuan Wu, Yong Hu, Xiangzhou Zhang
Development of a knowledge mining approach to uncover heterogeneous risk predictors of acute kidney injury across age groups. Int. J. Medical Informatics 158(February): 104661 (2022) - [j17]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) - [j16]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) - 2021
- [j15]Qichao Luo, Shenglong Mo, Yunfei Xue, Xiangzhou Zhang, Yuliang Gu
Novel deep learning-based transcriptome data analysis for drug-drug interaction prediction with an application in diabetes. BMC Bioinform. 22(1): 318 (2021) - [j14]Xiangzhou Zhang
Location Sensitive Network for Human Instance Segmentation. IEEE Trans. Image Process. 30: 7649-7662 (2021) - 2020
- [j13]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) - 2018
- [j12]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) - 2016
- [j11]Weiqi Chen
Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction. Soft Comput. 20(11): 4575-4588 (2016) - 2015
- [j10]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) - [j9]Yong Hu, Bin Feng, Xizhu Mo, Xiangzhou Zhang
Cost-sensitive and ensemble-based prediction model for outsourced software project risk prediction. Decis. Support Syst. 72: 11-23 (2015) - [j8]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) - [j7]Yong Hu, Bin Feng, Xiangzhou Zhang
Stock trading rule discovery with an evolutionary trend following model. Expert Syst. Appl. 42(1): 212-222 (2015) - [j6]Yong Hu, Xiangzhou Zhang
iTrade: A Mobile Data-Driven Stock Trading System with Concept Drift Adaptation. Int. J. Data Warehous. Min. 11(1): 66-83 (2015) - [j5]Xiangzhou Zhang
An evolutionary trend reversion model for stock trading rule discovery. Knowl. Based Syst. 79: 27-35 (2015) - 2014
- [j4]Xiangzhou Zhang
A causal feature selection algorithm for stock prediction modeling. Neurocomputing 142: 48-59 (2014) - 2013
- [j3]Yong Hu, Jianfeng Du, Xiangzhou Zhang
An integrative framework for intelligent software project risk planning. Decis. Support Syst. 55(4): 927-937 (2013) - [j2]Yong Hu, Xiangzhou Zhang
Software project risk analysis using Bayesian networks with causality constraints. Decis. Support Syst. 56: 439-449 (2013) - 2012
- [j1]Yong Hu, Xizhu Mo, Xiangzhou Zhang
Intelligent Analysis Model for Outsourced Software Project Risk Using Constraint-based Bayesian Network. J. Softw. 7(2): 440-449 (2012)
Conference and Workshop Papers
- 2014
- [c5]Yong Hu, Kang Liu, Bin Feng, Lijun Su, Xiangzhou Zhang
Concept Drift Mining of Fundamental Variables in China Stock Market. 3PGCIC 2014: 62-68 - [c4]Weiqi Chen
Discovering Many-to-One Causality in Software Project Risk Analysis. 3PGCIC 2014: 316-323 - 2013
- [c3]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 - [c2]Hongming Zhang, Bin Feng, Xizhu Mo, Lijun Su, Xiangzhou Zhang, Yong Hu:
A Cost-sensitive Intelligent Prediction Model for Outsourced Software Project Risk. WHICEB 2013: 72 - [c1]Yong Hu, Bin Feng, Xiangzhou Zhang, Xin Ying Qiu, Risong Li, Kang Xie:
A Prediction Model for Stock Market: A Comparison of The World's Top Investors with Data Mining Method. WHICEB 2013: 107
Coauthor Index
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