Publications by Zhao, Dazhe
In Journal (refereed)
1. | P. Cao, X. Liu, J. Yang, D. Zhao, M. Huang, O. Zaiane. "Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease". Computer Methods and Programs in Biomedicine, 162, pp 19-45, August 2018. |
2. | P. Cao, X. Liu, S. Liu, J. Yang, D. Zhao, M. Huang, O. Zaiane. "L_2,1 - L_1 regularized nonlinear multi-task representation learning for cognitive performance prediction of Alzheimer's disease". Pattern Recognition, 79, pp 195-215, July 2018. |
3. | P. Cao, X. Liu, J. Yang, D. Zhao, M. Huang, J. Zhang, O. Zaiane. "Nonlinearity-Aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI Measures". Computers in Biology and Medicine, 91, pp 21-37, December 2017. |
4. | P. Cao, X. Liu, O. Zaiane, D. Zhao. "Sparse shared structure based multi-task learning for MRI based Cognitive Performance prediction of Alzheimer's disease". Pattern Recognition, 72, pp 219-235, December 2017. |
5. | P. Cao, X. Liu, J. Yang, D. Zhao, W. Li, M. Huang, O. Zaiane. "A Multi-kernel based framework for heterogeneous feature selection and oversampling for computer-aided detection of pulmonary nodules". Pattern Recognition, 64, pp 327-346, April 2017. |
6. | P. Cao, X. Liu, D. Zhao, M. Huang, O. Zaiane, J. Zhang, W. Li. "L2,1-norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification". Neurocomputing, 234(C), pp 38-57, April 2017. |
7. | P. Cao, X. Liu, D. Zhao, M. Huang, O. Zaiane, J. Zhang, W. Li. "A L2,1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD". Computer Methods and Programs in Biomedicine, 140(C), pp 211-231, March 2017. |
8. | F. Ren, P. Cao, W. Li, D. Zhao, O. Zaiane. "Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm". Computerized Medical Imaging and Graphics, 55, pp 54-67, January 2017. |
9. | P. Cao, D. Zhao, O. Zaiane. "Hybrid probabilistic sampling with random subspace for imbalanced data learning". Intelligent Data Analysis: An International Journal, 18(6), pp 1089-1108, November 2014. |
10. | P. Cao, D. Zhao, O. Zaiane. "Ensemble-based hybrid probabilistic sampling for imbalanced data learning in Lung nodule CAD". Computerized Medical Imaging and Graphics, 38(3), pp 137-150, April 2014. |
In Conference (refereed)
11. | X. Liu, P. Cao, J. Yang, D. Zhao, O. Zaiane. "Group guided sparse group lasso multi-task learning for cognitive performance prediction of Alzheimer's disease". International Conference on Brain Informatics, Beijing, China, November 2017. |
12. | P. Cao, X. Liu, O. Zaiane, D. Zhao. "Sparse multi-kernel based multi-task learning for joint prediction of clinical scores and biomarker identification in Alzheimer's Disease". International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec City, Canada, September 2017. |
13. | P. Cao, D. Zhao, O. Zaiane. "Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning". International Conference on Hybrid Intelligent Systems, Hammamet, Tunisia, pp 35-40, December 2013. |
14. | P. Cao, B. Li, D. Zhao, O. Zaiane. "A novel cost sensitive neural network ensemble for multiclass imbalance data learning". IJCNN, August 2013. |
15. | P. Cao, D. Zhao, O. Zaiane. "Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study". IJCNN, August 2013. |
16. | P. Cao, D. Zhao, O. Zaiane. "Measure oriented cost-sensitive SVM for 3D nodule detection". Annual International Conference of the IEEE Engineering in Medicine and Biology Society, July 2013. |
17. | P. Cao, D. Zhao, O. Zaiane. "Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection". IEEE International Symposium on Computer-Based Medical Systems, Porto, Portugal, pp 173-178, June 2013. |
18. | P. Cao, D. Zhao, O. Zaiane. "A PSO-based Cost-Sensitive Neural Network for Imbalanced Data Classification". Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), April 2013. |
19. | P. Cao, D. Zhao, O. Zaiane. "An optimized cost-effective SVM for imbalanced data learning". Proceeding of the Pacific Asia Conference on Knowledge Discovery and Data Mining, (ed: Pei, J., Tseng, V.S., Cao, L., Motoda, H., Xu, G.), pp 280-292, April 2013. |
In Workshop
20. | P. Cao, Z. Teng, M. Huang, J. Yang, D. Zhao, A. Trabelsi, O. Zaiane. "An ensemble framework with l21-norm regularized hypergraph laplacian multi-label learning for clinical data prediction". International Workshop on Biomedical and Health Informatics, (ed: Illhoi Yoo, Jinbo Bi, Xiaohua Hu), pp 1436-1442, November 2019. |
Other Categories
21. | P. Cao, O. Zaiane, D. Zhao. " A Measure optimized cost-sensitive learning framework for imbalanced data classification". Biologically-Inspired Techniques for Knowledge Discovery and Data Mining, Advances in Data Mining an, Biologically-Inspired Techniques for Knowledge Discovery and Data Mining, Advances in Data Mining and Database Management Book Series, IGI Global, (ed: Shafiq Alam, Yun Sing Koh, and Gillian Dobbie), pp 1-24, October 2014. |