| An optimized cost-sensitive SVM for imbalanced data learning P Cao, D Zhao, O Zaiane Pacific-Asia conference on knowledge discovery and data mining, 280-292, 2013 | 150 | 2013 |
| Pulmonary nodule classification with deep convolutional neural networks on computed tomography images W Li, P Cao, D Zhao, J Wang Computational and mathematical methods in medicine 2016, 2016 | 135 | 2016 |
| Advances in knowledge discovery and data mining TB Ho, D Cheung, H Liu 9th Pacific-Asia Conference, Vietnam, 2005 | 70* | 2005 |
| Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm F Ren, P Cao, W Li, D Zhao, O Zaiane Computerized Medical Imaging and Graphics 55, 54-67, 2017 | 59 | 2017 |
| Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD P Cao, J Yang, W Li, D Zhao, O Zaiane Computerized Medical Imaging and Graphics 38 (3), 137-150, 2014 | 47 | 2014 |
| A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules P Cao, X Liu, J Yang, D Zhao, W Li, M Huang, O Zaiane Pattern Recognition 64, 327-346, 2017 | 36 | 2017 |
| A PSO-based cost-sensitive neural network for imbalanced data classification P Cao, D Zhao, OR Zaïane Pacific-Asia conference on knowledge discovery and data mining, 452-463, 2013 | 27 | 2013 |
| Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer¢s disease P Cao, X Shan, D Zhao, M Huang, O Zaiane Pattern Recognition 72, 219-235, 2017 | 25 | 2017 |
| ℓ2, 1 norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification P Cao, X Liu, J Zhang, D Zhao, M Huang, O Zaiane Neurocomputing 234, 38-57, 2017 | 23 | 2017 |
| Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures P Cao, X Liu, J Yang, D Zhao, M Huang, J Zhang, O Zaiane Computers in biology and medicine 91, 21-37, 2017 | 15 | 2017 |
| Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis P Cao, F Ren, C Wan, J Yang, O Zaiane Computerized Medical Imaging and Graphics 69, 112-124, 2018 | 13 | 2018 |
| Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease P Cao, X Liu, H Liu, J Yang, D Zhao, M Huang, O Zaiane Computer methods and programs in biomedicine 162, 19-45, 2018 | 13 | 2018 |
| ℓ2, 1− ℓ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer¢s disease P Cao, X Liu, J Yang, D Zhao, M Huang, O Zaiane Pattern Recognition 79, 195-215, 2018 | 13 | 2018 |
| Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso X Liu, AR Goncalves, P Cao, D Zhao, A Banerjee, ... Computerized Medical Imaging and Graphics 66, 100-114, 2018 | 12 | 2018 |
| Diabetic macular edema grading in retinal images using vector quantization and semi-supervised learning F Ren, P Cao, D Zhao, C Wan Technology and Health Care 26 (S1), 389-397, 2018 | 12 | 2018 |
| A ℓ2, 1 norm regularized multi-kernel learning for false positive reduction in lung nodule CAD P Cao, X Liu, J Zhang, W Li, D Zhao, M Huang, O Zaiane Computer methods and programs in biomedicine 140, 211-231, 2017 | 12 | 2017 |
| Cost sensitive Ranking Support Vector Machine for Multi-label Data Learning ORZ Peng Cao, Xiaoli Liu, Danzhe Zao 16th International Conference on Hybrid Intelligent Systems, Marrakech …, 2016 | 11* | 2016 |
| A novel cost sensitive neural network ensemble for multiclass imbalance data learning P Cao, B Li, D Zhao, O Zaiane The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | 11 | 2013 |
| Fused group lasso regularized multi-task feature learning and its application to the cognitive performance prediction of Alzheimer¢s disease X Liu, P Cao, J Wang, J Kong, D Zhao Neuroinformatics 17 (2), 271-294, 2019 | 9 | 2019 |
| Hybrid probabilistic sampling with random subspace for imbalanced data learning DZOZ Peng Cao Intelligent Data Analysis 18 (6), 1089-1108, 2014 | 9 | 2014 |
