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*, 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..
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..
耿欢, 覃文军, 杨金柱, 曹鹏, 赵大哲. 基于CT影像的肺组织分割方法综述[J]. 计算机应用研究, 2016, 33(7):1929-1935..
Xiaoli Liu, André R. Goncalvesd, Peng Cao*, Dazhe Zhao, Arindam Banerjee. Modeling Alzheimer's Disease Cognitive Scores using Multi-task Sparse Group Lasso[J]. Computerized Medical Imaging and Graphics, 2018, 66: 100-114..
Peng Cao*, Xiaoli Liu, Shuang Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Osmar R. Zaiane, L_2,1-L_1 regularized nonlinear multi-task representation learning for cognitive performance prediction of Alzheimer's disease[J]. Pattern Recognition, V79, pp 195-215, July 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, 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..
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..
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 ..