曹鹏
· 论文成果
Fulong Ren, Peng Cao*, Wei Li, Dazhe Zhao, Osmar R. Zaïane. Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm[J]. Computerized Medical Imaging and Graphics, 55: 54-67, 2017..
Peng Cao*, Dazhe Zhao, Osmar Zaiane, Ensemble-based hybrid probabilistic sampling for imbalanced data learning in Lung nodule CAD[J]. Computerized Medical Imaging and Graphics, 38(3), pp 137-150, April 2014..
曹鹏, 李博,栗伟,赵大哲. 基于概率分布估计的混合采样算法[J]. 控制与决策, 2014 (5) :815-520..
Peng Cao*, Dazhe Zhao and Osmar R. Zaiane, Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection[C]. 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Porto, Portugal, June 20-22, 2013 ..
李博, 曹鹏, 栗伟, 赵大哲. 聚类核值相似区特征点的医学影像分类[J]. 中国图象图形学报, 18(10), 1322-1328, 2013..
Xiaoli Liu, Peng Cao*, Jianzhong Wang, Jun Kong, Dazhe Zhao. Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer’s Disease[J]. Neuroinformatics, 1-24..
Peng Cao*, Fulong Ren, Chao Wan, Jinzhu Yan, Osmar R. Zaiane. Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis[J]. Computerized Medical Imaging and Graphics. V69, pp112-124, 2018..
Peng Cao*, Dazhe Zhao and Osmar Zaiane, A PSO-based Cost-Sensitive Neural Network for Imbalanced Data Classification[C]. Biologically Inspired Techniques for Data Mining Workshop (BDM'13), in conjunction with PAKDD 2013, Gold Coast, Australia, April 14, 2013 ..
Xiaoli Liu，Hang Bao，Dazhe Zhao and Peng Cao*. A Label Distance Maximum-Based Classifier for Multi-Label Learning[J]. Bio-Medical Materials and Engineering,vol. 26, no. s1, pp. 1969-1976, 2015..
Peng Cao*, Xiaoli Liu, Dazhe Zhao, Min Huang, Osmar Zaiane, Jian Zhang, Wei Li, l2,1-norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification[J]. Neurocomputing, Vol. 234, Issue C, pp 38-57, April 2017..