| Dynamic classifier ensemble model for customer classification with imbalanced class distribution J Xiao, L Xie, C He, X Jiang Expert Systems with Applications 39 (3), 3668-3675, 2012 | 126 | 2012 |
| A dynamic classifier ensemble selection approach for noise data J Xiao, C He, X Jiang, D Liu Information Sciences 180 (18), 3402-3421, 2010 | 82 | 2010 |
| Domestic air passenger traffic and economic growth in China: Evidence from heterogeneous panel models Y Hu, J Xiao, Y Deng, Y Xiao, S Wang Journal of Air Transport Management 42, 95-100, 2015 | 80 | 2015 |
| A hybrid model based on selective ensemble for energy consumption forecasting in China J Xiao, Y Li, L Xie, D Liu, J Huang Energy 159, 534-546, 2018 | 54 | 2018 |
| Ensemble ANNs-PSO-GA approach for day-ahead stock e-exchange prices forecasting Y Xiao, J Xiao, F Lu, S Wang International Journal of Computational Intelligence Systems 7 (2), 272-290, 2014 | 54 | 2014 |
| Feature-selection-based dynamic transfer ensemble model for customer churn prediction J Xiao, Y Xiao, A Huang, D Liu, S Wang Knowledge and information systems 43 (1), 29-51, 2015 | 45 | 2015 |
| Structure identification of Bayesian classifiers based on GMDH J Xiao, C He, X Jiang Knowledge-Based Systems 22 (6), 461-470, 2009 | 42 | 2009 |
| GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries L Mo, L Xie, X Jiang, G Teng, L Xu, J Xiao Applied Soft Computing 62, 478-490, 2018 | 40 | 2018 |
| A multiscale modeling approach incorporating ARIMA and ANNs for financial market volatility forecasting Y Xiao, J Xiao, J Liu, S Wang Journal of Systems Science and Complexity 27 (1), 225-236, 2014 | 38 | 2014 |
| Churn Prediction in Customer Relationship Management via GMDH-Based Multiple Classifiers Ensemble J Xiao, X Jiang, C He, G Teng IEEE Intelligent Systems 31 (2), 37-44, 2016 | 35 | 2016 |
| Dynamic classifier ensemble selection based on GMDH J Xiao, C He 2009 International Joint Conference on Computational Sciences and …, 2009 | 31 | 2009 |
| GMDH-based semi-supervised feature selection for customer classification J Xiao, H Cao, X Jiang, X Gu, L Xie Knowledge-Based Systems 132, 236-248, 2017 | 30 | 2017 |
| Customer credit scoring based on HMM/GMDH hybrid model GE Teng, CZ He, J Xiao, XY Jiang Knowledge and information systems 36 (3), 731-747, 2013 | 24 | 2013 |
| A transfer forecasting model for container throughput guided by discrete PSO J Xiao, Y Xiao, J Fu, KK Lai Journal of Systems Science and Complexity 27 (1), 181-192, 2014 | 19 | 2014 |
| A hybrid forecasting model for non-stationary time series: An application to container throughput prediction Y Xiao, J Xiao, S Wang International Journal of Knowledge and Systems Science (IJKSS) 3 (2), 67-82, 2012 | 18 | 2012 |
| 基于社会网络分析理论的恐怖组织网络研究综述 付举磊， 孙多勇， 肖进， 汪寿阳 系统工程理论与实践 33 (9), 2177-2186, 2013 | 17 | 2013 |
| Cluster ensemble framework based on the group method of data handling G Teng, C He, J Xiao, Y He, B Zhu, X Jiang Applied Soft Computing 43, 35-46, 2016 | 16 | 2016 |
| Application of multiscale analysis-based intelligent ensemble modeling on airport traffic forecast Y Xiao, JJ Liu, J Xiao, Y Hu, H Bu, S Wang Transportation Letters 7 (2), 73-79, 2015 | 14 | 2015 |
| Cost-sensitive semi-supervised selective ensemble model for customer credit scoring J Xiao, X Zhou, Y Zhong, L Xie, X Gu, D Liu Knowledge-Based Systems 189, 105118, 2020 | 13 | 2020 |
| A hybrid reproducing graph kernel based on information entropy L Xu, X Jiang, L Bai, J Xiao, B Luo Pattern Recognition 73, 89-98, 2018 | 13 | 2018 |
Pei-Yu ChenYale UniversityVahvistettu sähköpostiosoite verkkotunnuksessa yale.edu
