| Dual autoencoders features for imbalance classification problem WWY Ng, G Zeng, J Zhang, DS Yeung, W Pedrycz Pattern Recognition 60, 875-889, 2016 | 122 | 2016 |
| New appliance detection for nonintrusive load monitoring J Zhang, X Chen, WWY Ng, CS Lai, LL Lai IEEE Transactions on Industrial Informatics 15 (8), 4819-4829, 2019 | 56 | 2019 |
| Cost-sensitive weighting and imbalance-reversed bagging for streaming imbalanced and concept drifting in electricity pricing classification WWY Ng, J Zhang, CS Lai, W Pedrycz, LL Lai, X Wang IEEE Transactions on Industrial Informatics 15 (3), 1588-1597, 2018 | 54 | 2018 |
| Hashing-based undersampling ensemble for imbalanced pattern classification problems WWY Ng, S Xu, J Zhang, X Tian, T Rong, S Kwong IEEE Transactions on Cybernetics 52 (2), 1269-1279, 2020 | 42 | 2020 |
| Multi-view neural network ensemble for short and mid-term load forecasting CS Lai, Y Yang, K Pan, J Zhang, H Yuan, WWY Ng, Y Gao, Z Zhao, ... IEEE Transactions on Power Systems 36 (4), 2992-3003, 2020 | 41 | 2020 |
| Loan default prediction using diversified sensitivity undersampling YQ Chen, J Zhang, WWY Ng 2018 International Conference on Machine Learning and Cybernetics (ICMLC) 1 …, 2018 | 28 | 2018 |
| Undersampling near decision boundary for imbalance problems J Zhang, T Wang, WWY Ng, S Zhang, CD Nugent 2019 International conference on machine learning and cybernetics (ICMLC), 1-8, 2019 | 21 | 2019 |
| KNNENS: A k-nearest neighbor ensemble-based method for incremental learning under data stream with emerging new classes J Zhang, T Wang, WWY Ng, W Pedrycz IEEE transactions on neural networks and learning systems, 2022 | 20 | 2022 |
| Training error and sensitivity-based ensemble feature selection WWY Ng, Y Tuo, J Zhang, S Kwong International Journal of Machine Learning and Cybernetics 11, 2313-2326, 2020 | 17 | 2020 |
| Evaluation of radial basis function neural network minimizing L-GEM for sensor-based activity recognition S Zhang, WWY Ng, J Zhang, CD Nugent, N Irvine, T Wang Journal of Ambient Intelligence and Humanized Computing, 1-11, 2023 | 12 | 2023 |
| Ensembling perturbation-based oversamplers for imbalanced datasets J Zhang, T Wang, WWY Ng, W Pedrycz Neurocomputing 479, 1-11, 2022 | 12 | 2022 |
| Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model WWY Ng, Z Liu, J Zhang, W Pedrycz Applied Soft Computing 104, 107178, 2021 | 12 | 2021 |
| Stochastic sensitivity measure-based noise filtering and oversampling method for imbalanced classification problems J Zhang, WWY Ng 2018 IEEE international conference on systems, man, and cybernetics (SMC …, 2018 | 10 | 2018 |
| Human activity recognition using radial basis function neural network trained via a minimization of localized generalization error S Zhang, WWY Ng, J Zhang, CD Nugent Ubiquitous Computing and Ambient Intelligence: 11th International Conference …, 2017 | 9 | 2017 |
| Effects of different base classifiers to Learn++ family algorithms for concept drifting and imbalanced pattern classification problems J Liao, J Zhang, WWY Ng 2016 International conference on machine learning and cybernetics (ICMLC) 1 …, 2016 | 7 | 2016 |
| Bass: Broad network based on localized stochastic sensitivity T Wang, M Zhang, J Zhang, WWY Ng, CLP Chen IEEE Transactions on Neural Networks and Learning Systems, 2022 | 6 | 2022 |
| Minority oversampling using sensitivity J Zhang, T Wang, WWY Ng, W Pedrycz, S Zhang, CD Nugent 2020 international joint conference on neural networks (IJCNN), 1-7, 2020 | 4 | 2020 |
| Visual words selection for human action recognition using rbfnn via the minimization of L-GEM WWY Ng, J Li, J Zhang, Q Wu, J Li 2017 International Conference on Wavelet Analysis and Pattern Recognition …, 2017 | 4 | 2017 |
| Stochastic sensitivity tree boosting for imbalanced prediction problems of protein-ligand interaction sites WWY Ng, Y Zhang, J Zhang, DD Wang, FL Wang IEEE Transactions on Emerging Topics in Computational Intelligence 5 (3 …, 2019 | 2 | 2019 |
| Feature weighting for RBFNN based on genetic algorithm and localized generalization error model T Chen, T Wang, WWY Ng, J Zhang 2017 IEEE International Conference on Internet of Things (iThings) and IEEE …, 2017 | 1 | 2017 |
Wing W. Y. NgSouth China University of TechnologyVerified email at ieee.org
