曹鹏
· 论文成果
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..
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..
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]..
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 ..
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..
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..
曹鹏, 栗伟,赵大哲. 基于决策准则优化的不均衡数据分类[J]. 小型微型计算机系统, 2014 , 35 (5): 961-966..
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...
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..
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..