· 论文成果
Peng Cao*, Dazhe Zhao and Osmar R. Zaiane. Measure optimized wrapper framework for multi-class imbalanced data learning: an empirical study[C]. Proceedings of International Joint Conference on Neural Networks (IJCNN), Dallas, Texas, USA, August 4-9, 2013. [Student travel awards]..
曹鹏, 栗伟,赵大哲. 面向不均衡数据集的ARSGOS算法[J]. 小型微型计算机系统, 2014 , 35 (4) :818-823..
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..
曹鹏, 李博, 栗伟, 赵大哲. 结合X-means聚类的自适应随机子空间组合分类算法[J]. 计算机应用, 2013, 33(2):550-553..
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..
Fulong Ren, Peng Cao, Dazhe Zhao, Chao Wan. Diabetic macular edema grading in retinal images using vector quantization and semi-supervised learning[J]. Technology and Health Care, 2018, 26(S1): 389-397...
Peng Cao*, Dazhe Zhao and Osmar R. Zaiane. A Measure optimized cost-sensitive learning framework for imbalanced data classification[M]. Chapter in: Biologically-Inspired Techniques for Knowledge Discovery and Data Mining, Advances in Data Mining and Database Management Book Series, edited by Shafiq Alam, Yun Sing Koh, and Gillian Dobbie, published by IGI Global, 2014..
Peng Cao*, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaiane, Cost sensitive Ranking Support Vector Machine for Multi-label Data Learning[C]. 16th International Conference on Hybrid Intelligent Systems, Marrakech, Morocco, 21-23 November, 2016..
Peng Cao* Xiaoli Liu, Hezi Liu, JinzhuYang, Dazhe Zhao, Min Huang, Osmar Zaiane. Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimer’s Disease[J]. Computer Methods and Programs in Biomedicine 162, pp. 19-45 August 2018..
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..
