| Determination of the spread parameter in the Gaussian kernel for classification and regression W Wang, Z Xu, W Lu, X Zhang Neurocomputing 55 (3-4), 643-663, 2003 | 537 | 2003 |
| Potential assessment of the “support vector machine” method in forecasting ambient air pollutant trends WZ Lu, WJ Wang chemosphere 59 (5), 693-701, 2005 | 273 | 2005 |
| Robust multiple kernel k-means using l21-norm L Du, P Zhou, L Shi, H Wang, M Fan, W Wang, YD Shen Twenty-fourth international joint conference on artificial intelligence, 2015 | 267 | 2015 |
| Online prediction model based on support vector machine W Wang, C Men, W Lu Neurocomputing 71 (4-6), 550-558, 2008 | 260 | 2008 |
| Error estimation based on variance analysis of k-fold cross-validation G Jiang, W Wang Pattern Recognition 69, 94-106, 2017 | 188 | 2017 |
| A heuristic training for support vector regression W Wang, Z Xu Neurocomputing 61, 259-275, 2004 | 136 | 2004 |
| Prediction of maximum daily ozone level using combined neural network and statistical characteristics W Wang, W Lu, X Wang, AYT Leung Environment International 29 (5), 555-562, 2003 | 128 | 2003 |
| Potential assessment of a neural network model with PCA/RBF approach for forecasting pollutant trends in Mong Kok urban air, Hong Kong WZ Lu, WJ Wang, XK Wang, SH Yan, JC Lam Environmental Research 96 (1), 79-87, 2004 | 127 | 2004 |
| An active learning-based SVM multi-class classification model H Guo, W Wang Pattern recognition 48 (5), 1577-1597, 2015 | 125 | 2015 |
| Three improved neural network models for air quality forecasting W Wang, Z Xu, J Weizhen Lu Engineering Computations 20 (2), 192-210, 2003 | 124 | 2003 |
| Air pollutant parameter forecasting using support vector machines W Lu, W Wang, AYT Leung, SM Lo, RKK Yuen, Z Xu, H Fan Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002 | 109 | 2002 |
| An SVM-based collaborative filtering approach for Top-N web services recommendation L Ren, W Wang Future Generation Computer Systems 78, 531-543, 2018 | 95 | 2018 |
| Using Improved Neural Network Model to Analyze RSP, NOx and NO2 Levels in Urban Air in Mong Kok, Hong Kong WZ Lu, WJ Wang, XK Wang, ZB Xu, AYT Leung Environmental monitoring and assessment 87, 235-254, 2003 | 92 | 2003 |
| A study of ozone variation trend within area of affecting human health in Hong Kong X Wang, W Lu, W Wang, AYT Leung Chemosphere 52 (9), 1405-1410, 2003 | 73 | 2003 |
| Saliency-SVM: An automatic approach for image segmentation X Bai, W Wang Neurocomputing 136, 243-255, 2014 | 66 | 2014 |
| Selective ensemble-based online adaptive deep neural networks for streaming data with concept drift H Guo, S Zhang, W Wang Neural Networks 142, 437-456, 2021 | 62 | 2021 |
| Prediction of pollutant levels in causeway bay area of Hong Kong using an improved neural network model WZ Lu, WJ Wang, HY Fan, AYT Leung, ZB Xu, SM Lo, JCK Wong Journal of environmental engineering 128 (12), 1146-1157, 2002 | 61 | 2002 |
| Facilitating the applications of support vector machine by using a new kernel R Zhang, W Wang Expert systems with applications 38 (11), 14225-14230, 2011 | 52 | 2011 |
| Granular support vector machine: a review H Guo, W Wang Artificial Intelligence Review 51, 19-32, 2019 | 48 | 2019 |
| Concept drift type identification based on multi-sliding windows H Guo, H Li, Q Ren, W Wang Information Sciences 585, 1-23, 2022 | 47 | 2022 |
