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Changzheng He
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2010 – 2019
- 2019
- [j17]Xiangfei Lyu, Yuchuan Song, Changzheng He, Qi Lei, Weifei Guo:
Approach to Integrated Scheduling Problems Considering Optimal Number of Automated Guided Vehicles and Conflict-Free Routing in Flexible Manufacturing Systems. IEEE Access 7: 74909-74924 (2019) - 2016
- [j16]Ge-Er Teng, Changzheng He, Jin Xiao, Yue He, Bing Zhu, Xiaoyi Jiang:
Cluster ensemble framework based on the group method of data handling. Appl. Soft Comput. 43: 35-46 (2016) - [j15]Jin Xiao, Xiaoyi Jiang, Changzheng He, Ge-Er Teng:
Churn Prediction in Customer Relationship Management via GMDH-Based Multiple Classifiers Ensemble. IEEE Intell. Syst. 31(2): 37-44 (2016) - 2015
- [j14]Bing Zhu, Changzheng He, Xiaoyi Jiang:
A consistency-based validation for data clustering. Intell. Data Anal. 19(3): 471-484 (2015) - [j13]Yinfeng Xu, Hongmei Li, Changzheng He, Li Luo:
The online k-server problem with max-distance objective. J. Comb. Optim. 29(4): 836-846 (2015) - [j12]Bing Zhu, Changzheng He, Xiaoyi Jiang:
Customer choice prediction based on transfer learning. J. Oper. Res. Soc. 66(6): 1044-1051 (2015) - [c6]Changzheng He, Bing Zhu, Mingzhu Zhang, Yuanyuan Zhuang, Xiaoli He, Dongyue Du:
Customers' Risk Type Prediction Based on Analog Complexing. ITQM 2015: 939-943 - 2014
- [j11]Lucas Franek, Xiaoyi Jiang, Changzheng He:
Weighted mean of a pair of clusterings. Pattern Anal. Appl. 17(1): 153-166 (2014) - [j10]Ge-Er Teng, Changzheng He, Xin Gu:
Response model based on weighted bagging GMDH. Soft Comput. 18(12): 2471-2484 (2014) - [j9]Taibo Luo, Yinfeng Xu, Li Luo, Changzheng He:
Semi-online scheduling with two GoS levels and unit processing time. Theor. Comput. Sci. 521: 62-72 (2014) - 2013
- [j8]Ge-Er Teng, Changzheng He, Jin Xiao, Xiaoyi Jiang:
Customer credit scoring based on HMM/GMDH hybrid model. Knowl. Inf. Syst. 36(3): 731-747 (2013) - 2012
- [j7]Bing Zhu, Changzheng He, Panos Liatsis:
A robust missing value imputation method for noisy data. Appl. Intell. 36(1): 61-74 (2012) - [j6]Jin Xiao, Ling Xie, Changzheng He, Xiaoyi Jiang:
Dynamic classifier ensemble model for customer classification with imbalanced class distribution. Expert Syst. Appl. 39(3): 3668-3675 (2012) - [j5]Mingzhu Zhang, Changzheng He, Panos Liatsis:
A D-GMDH model for time series forecasting. Expert Syst. Appl. 39(5): 5711-5716 (2012) - [j4]Bing Zhu, Changzheng He, Panos Liatsis, Xiaoyu Li:
A GMDH-based fuzzy modeling approach for constructing TS model. Fuzzy Sets Syst. 189(1): 19-29 (2012) - [c5]Jin Xiao, Changzheng He, Shouyang Wang:
Crude Oil Price Forecasting: A Transfer Learning Based Analog Complexing Model. BIFE 2012: 29-33 - 2011
- [c4]Quang Duc Tran, Panos Liatsis, Bing Zhu, Changzheng He:
Using Density based Score Fusion for Multimodal Identification Systems under the Missing Data Scenario. DeSE 2011: 238-242 - 2010
- [j3]Jin Xiao, Changzheng He, Xiaoyi Jiang, Dunhu Liu:
A dynamic classifier ensemble selection approach for noise data. Inf. Sci. 180(18): 3402-3421 (2010) - [c3]Xiaoyu Li, Changzheng He, Panos Liatsis:
A New Robust Classification Method for CRM. APWCS 2010: 70-73
2000 – 2009
- 2009
- [j2]Jin Xiao, Changzheng He, Xiaoyi Jiang:
Structure identification of Bayesian classifiers based on GMDH. Knowl. Based Syst. 22(6): 461-470 (2009) - [c2]Jin Xiao, Changzheng He:
Dynamic Classifier Ensemble Selection Based on GMDH. CSO (1) 2009: 731-734 - [c1]Hengjun Zhao, Changzheng He:
Objective Cluster Analysis in Value-Based Customer Segmentation Method. WKDD 2009: 484-487 - 2008
- [j1]Changzheng He, J. Wu, J.-A. Müller:
Optimal cooperation between external criterion and data division in GMDH. Int. J. Syst. Sci. 39(6): 601-606 (2008)
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