曹鹏
· 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..
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..
Peng Cao*, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Jian Zhang, Osmar R. Zaiane, Nonlinearity-Aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI Measures[J]. Computers in Biology and Medicine 91, 21–37, 2017..
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..
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...
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...
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..
Peng Cao*, Xiaoli Liu, Hang Bao, Dazhe Zhao,Restricted Boltzmann machines based oversampling and semi-supervised learning for false positive reduction in breast CAD. Bio-medical materials and engineering 26(s1):S1541-S1547, 2015..