| Using class imbalance learning for software defect prediction S Wang, X Yao IEEE Transactions on Reliability 62 (2), 434-443, 2013 | 654 | 2013 |
| Multiclass Imbalance Problems: Analysis and Potential Solutions S Wang, X Yao Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 1-12, 2012 | 653 | 2012 |
| Diversity analysis on imbalanced data sets by using ensemble models S Wang, X Yao Computational Intelligence and Data Mining, 2009. CIDM'09. IEEE Symposium on …, 2009 | 643 | 2009 |
| Resampling-based ensemble methods for online class imbalance learning S Wang, LL Minku, X Yao IEEE Transactions on Knowledge and Data Engineering 27 (5), 1356-1368, 2014 | 425 | 2014 |
| A systematic study of online class imbalance learning with concept drift S Wang, LL Minku, X Yao IEEE transactions on neural networks and learning systems 29 (10), 4802-4821, 2018 | 303 | 2018 |
| Short-term power load probability density forecasting method using kernel-based support vector quantile regression and Copula theory Y He, R Liu, H Li, S Wang, X Lu Applied energy 185, 254-266, 2017 | 178 | 2017 |
| Online ensemble learning of data streams with gradually evolved classes Y Sun, K Tang, LL Minku, S Wang, X Yao IEEE Transactions on Knowledge and Data Engineering 28 (6), 1532-1545, 2016 | 178 | 2016 |
| Relationships Between Diversity of Classification Ensembles and Single-Class Performance Measures S Wang, X Yao Knowledge and Data Engineering, IEEE Transactions on, 1-1, 2011 | 150 | 2011 |
| A learning framework for online class imbalance learning S Wang, LL Minku, X Yao 2013 IEEE Symposium on Computational Intelligence and Ensemble Learning …, 2013 | 145 | 2013 |
| Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network Y He, Y Qin, S Wang, X Wang, C Wang Applied energy 233, 565-575, 2019 | 143 | 2019 |
| Negative correlation learning for classification ensembles S Wang, H Chen, X Yao Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-8, 2010 | 131 | 2010 |
| Concept drift detection for online class imbalance learning S Wang, LL Minku, D Ghezzi, D Caltabiano, P Tino, X Yao The 2013 international joint conference on neural networks (IJCNN), 1-10, 2013 | 112 | 2013 |
| Online class imbalance learning and its applications in fault detection S Wang, LL Minku, X Yao International Journal of Computational Intelligence and Applications 12 (04 …, 2013 | 80 | 2013 |
| Dealing with Multiple Classes in Online Class Imbalance Learning. S Wang, LL Minku, X Yao IJCAI, 2118-2124, 2016 | 78 | 2016 |
| Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression Y He, H Li, S Wang, X Yao Neurocomputing 430, 121-137, 2021 | 74 | 2021 |
| A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem R Shang, Y Wang, J Wang, L Jiao, S Wang, L Qi Information Sciences 277, 609-642, 2014 | 72 | 2014 |
| Fuzzy superpixels for polarimetric SAR images classification Y Guo, L Jiao, S Wang, S Wang, F Liu, W Hua IEEE Transactions on Fuzzy Systems 26 (5), 2846-2860, 2018 | 66 | 2018 |
| Fuzzy sparse autoencoder framework for single image per person face recognition Y Guo, L Jiao, S Wang, S Wang, F Liu IEEE transactions on cybernetics 48 (8), 2402-2415, 2017 | 60 | 2017 |
| Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study K Li, Z Xiang, T Chen, S Wang, KC Tan Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 59 | 2020 |
| Diversity exploration and negative correlation learning on imbalanced data sets S Wang, K Tang, X Yao Neural Networks, 2009. IJCNN 2009. International Joint Conference on, 3259-3266, 2009 | 42 | 2009 |
Leandro MinkuAssociate Professor, University of Birmingham在 bham.ac.uk 的电子邮件经过验证
