· 论文成果
Yafang Chen, Peng Cao*. An end-to-end framework for pulmonary nodule detection and false positive reduction from CT Images. ISICDM. 2020..
Peng Cao*, Zeyu Teng, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, and Osmar Zaiane, An ensemble framework with l21-norm regularized hypergraph laplacian multi-label learning for clinical data prediction, 10th International Workshop on Biomedical and Health Informatics, in conjunction with IEEE BIBM, San Diego, USA, 18-21 November 2019..
Peng Cao*, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar Zaiane, Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer’s disease, IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM), San Diego, USA, 18-21 November 2019..
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. 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 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..
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..
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, 201..
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..
