| An empirical comparison of techniques for the class imbalance problem in churn prediction B Zhu, B Baesens, SKLM vanden Broucke Information sciences 408, 84-99, 2017 | 199 | 2017 |
| Evaluating the impact of carbon emissions trading scheme on Chinese firms’ total factor productivity J Xiao, G Li, B Zhu, L Xie, Y Hu, J Huang Journal of Cleaner Production 306, 127104, 2021 | 104 | 2021 |
| A hybrid deep learning model for consumer credit scoring B Zhu, W Yang, H Wang, Y Yuan 2018 international conference on artificial intelligence and big data …, 2018 | 78 | 2018 |
| A robust missing value imputation method for noisy data B Zhu, C He, P Liatsis Applied Intelligence 36 (1), 61-74, 2012 | 76 | 2012 |
| Benchmarking sampling techniques for imbalance learning in churn prediction B Zhu, B Baesens, A Backiel, SKLM Vanden Broucke Journal of the Operational Research Society 69 (1), 49-65, 2018 | 62 | 2018 |
| A GMDH-based fuzzy modeling approach for constructing TS model B Zhu, CZ He, P Liatsis, XY Li Fuzzy Sets and Systems 189 (1), 19-29, 2012 | 34 | 2012 |
| A GAN-based hybrid sampling method for imbalanced customer classification B Zhu, X Pan, S vanden Broucke, J Xiao Information Sciences, 2022 | 25 | 2022 |
| 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 | 19 | 2016 |
| An experimental investigation of calibration techniques for imbalanced data L Huang, J Zhao, B Zhu, H Chen, SV Brouck IEEE Access, 2020 | 16 | 2020 |
| IRIC: An R library for binary imbalanced classification B Zhu, Z Gao, J Zhao, SKLM Vanden Broucke SoftwareX, 2019 | 10 | 2019 |
| A balanced transfer learning model for customer churn prediction B Zhu, J Xiao, C He Proceedings of the Eighth International Conference on Management Science and …, 2014 | 10 | 2014 |
| 市场调查数据分析方法发展评述 朱兵， 贺昌政， 郑明翠 统计与决策, 139-140, 2007 | 9 | 2007 |
| A new transferred feature selection algorithm for customer identification B Zhu, Y Niu, J Xiao, B Baesens Neural Computing and Applications, 2017 | 8 | 2017 |
| An approach for multimodal biometric fusion under the missing data scenario QD Tran, P Liatsis, B Zhu, C He 2011 International Conference on Uncertainty Reasoning and Knowledge …, 2011 | 8 | 2011 |
| Investigating decision tree in churn prediction with class imbalance B Zhu, G Xie, Y Yuan, Y Duan Proceedings of the International Conference on Data Processing and …, 2018 | 7 | 2018 |
| The key factors of outstanding credit balances among revolvers: A case study of a bank in China C He, B Zhu, M Zhang, X He Procedia Computer Science 91, 341-350, 2016 | 7 | 2016 |
| One-step classifier ensemble model for customer churn prediction with imbalanced class J Xiao, G Teng, C He, B Zhu Proceedings of the Eighth International Conference on Management Science and …, 2014 | 7 | 2014 |
| A bagging-based selective ensemble model for churn prediction on imbalanced data B Zhu, C Qian, S vanden Broucke, J Xiao Expert systems with applications, 2023 | 5 | 2023 |
| Learning consumer preferences from online textual reviews and ratings based on the aggregation-disaggregation paradigm with attitudinal Choquet integral Q Yang, B Zhu, H Liao, X Wu Economic Research-Ekonomska Istraživanja 36 (1), 2023 | 5 | 2023 |
| Location-based hybrid deep learning model for purchase prediction B Zhu, W Tang, X Mao, W Yang ICCIA2020, 2020 | 5 | 2020 |
Seppe vanden BrouckeAssistant Professor at UGent - Lecturer at KU Leuven在 ugent.be 的电子邮件经过验证
