曹鹏
· 论文成果
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..
曹鹏, 李博, 栗伟, 赵大哲. 基于粒子群优化的不均衡数据学习[J]. 计算机应用, 2013, 33(3):789-792..
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..
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..
Xiaoli Liu, Peng Cao*, André R. Goncalvesd, Dazhe Zhao, Arindam Banerjee. Modeling Alzheimer’s Disease Progression with Fused Laplacian Sparse Group Lasso[J]. ACM Transactions on Knowledge Discovery from Data (TKDD), 2018, 12(6): 65..
Peng Cao* Xiaoli Liu, Dazhe Zhao, Min Huang, Osmar Zaiane, Jian Zhang, Wei Li, A L2,1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD[J]. Computer Methods and Programs in Biomedicine, Vol. 140, Issue C, pp 211-231, March 2017..
贾迪, 杨金柱, 曹鹏, 张一飞, 赵大哲, 于戈.一种具有边缘保护的mri影像同步去噪增强算法[J]. 小型微型计算机系统, 32(10), 2064-2067，2011..
Peng Cao*, Dazhe Zhao and Osmar Zaiane, Hybrid probabilistic sampling with random subspace for imbalanced data learning[J]. Intelligent Data Analysis, 18(6):1089-1108, November 2014..
Xiaoli Liu, Peng Cao, Dazhe Zhao, Arindam Banerjee. Multi-task Spare Group Lasso for Characterizing Alzheimer's Disease[C].Workshop on Data Mining for Medicine and Healthcare (DMMH), SDM, 2016..