Peng Cao
Peng Cao
Verified email at cse.neu.edu.cn
TitleCited byYear
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
942013
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
552016
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
342014
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
292017
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
252017
Advances in knowledge discovery and data mining
P Cao, D Zhao, O Zaiane
Berlin, Germany: Springer, 2013
21*2013
A PSO-based cost-sensitive neural network for imbalanced data classification
P Cao, D Zhao, OR Zaļane
Pacific-Asia conference on knowledge discovery and data mining, 452-463, 2013
142013
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
112017
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
112017
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
82017
Measure oriented cost-sensitive SVM for 3D nodule detection
P Cao, D Zhao, O Zaiane
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
82013
Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection
P Cao, D Zhao, O Zaiane
Proceedings of the 26th IEEE International Symposium on Computer-Based …, 2013
72013
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
62017
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
62013
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
52018
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
52018
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
5*2016
Hybrid probabilistic sampling with random subspace for imbalanced data learning
DZOZ Peng Cao
Intelligent Data Analysis 18 (6), 1089-1108, 2014
52014
Multi-task spare group lasso for characterizing Alzheimer’s disease
X Liu, P Cao, D Zhao, A Banerjee
5th Workshop on Data Mining for Medicine and Healthcare 49, 2016
42016
A Measure optimized cost-sensitive learning framework for imbalanced data classification
DZ Peng Cao, Osmar Zaiane
Biologically-Inspired Techniques for Knowledge Discovery and Data Mining …, 2014
4*2014
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