曹鹏
· 论文成果
任福龙，曹鹏，杨金柱，万超，赵大哲. 多核多示例学习的糖尿病视网膜病变诊断. 中国图象图形学报, 2018,23(04):552-563..
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 ..
Jing Zhang, Peng Cao, Doug Gross and Osmar Zaiane, On the application of multi-class classification in physical therapy recommendation[J]. Health Information Science and Systems, V.1, N.15, accepted for publication November 19, 2013..
Peng Cao*, Dazhe Zhao, Osmar R. Zaiane, A Optimized Cost-Sensitive SVM for Imbalanced Data Learning[C]. 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD), GoldCoast, Australia, 14-17 April, 2013..
任福龙，曹鹏，万超，赵大哲. 结合代价敏感半监督集成学习的糖尿病视网膜病变分类. 计算机应用, 2018,38(7): 2124-2129..
Peng Cao*, Xiaoli Liu, Hang Bao, Dazhe Zhao,Restricted Boltzmann machines based oversampling and semi-supervised learning for false positive reduction in breast CAD. Bio-medical materials and engineering 26(s1):S1541-S1547, 2015..
Peng Cao*, Dazhe Zhao and Osmar R. Zaiane, Measure Oriented Cost-Sensitive SVM for 3D nodule detection[C]. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, July 3-7, 2013..
Peng Cao*, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Wei Li, Min Huang, Osmar R. Zaiane, A Multi-kernel based framework for heterogeneous feature selection and oversampling for computer-aided detection of pulmonary nodules[J]. Pattern Recognition, 64:327-346, April 2017..
Xiaoli Liu, Peng Cao*, Jinzhu Yang, Dazhe Zhao. Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer’s Disease[J]. Computational and mathematical methods in medicine. 2018, pp. 1-23...
Wei Li, Peng Cao*, Dazhe Zhao, Junbo Wang. Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images[J]. Computational and Mathematical Methods in Medicine 2016:1-7..