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ORCIDYanmin Sun
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2010 – 2019
- 2019
[c7]Yanmin Sun, Yan Liu, Chunsheng Yang:
Railway Joint Detection Using Deep Convolutional Neural Networks. CASE 2019: 235-240- 2018
- [c6]Ziheng Li, Wenkun Zhang, Lei Li, Yanmin Sun, Chaoyan Gao, Bin Yan, Linyuan Wang:
Preliminary Study: an Efficient Solving Algorithm for Determining the Exact Sampling Condition of Limited-Angle CT Reconstruction. ICNC-FSKD 2018: 384-389 - 2016
- [c5]Lei Li, Linyuan Wang, Xiaoqi Xi, Bin Yan, Yanmin Sun:
A hybrid projection decomposition algorithm for dual-energy computed tomography. ICNC-FSKD 2016: 1352-1356
2000 – 2009
- 2009
- [j4]Yanmin Sun, Andrew K. C. Wong, Mohamed S. Kamel
:
Classification of Imbalanced Data: a Review. Int. J. Pattern Recognit. Artif. Intell. 23(4): 687-719 (2009) - 2007
- [b1]Yanmin Sun:
Cost-Sensitive Boosting for Classification of Imbalanced Data. University of Waterloo, Ontario, Canada, 2007 - [j3]Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong, Yang Wang:
Cost-sensitive boosting for classification of imbalanced data. Pattern Recognit. 40(12): 3358-3378 (2007) - [j2]Yanmin Sun, Andrew K. C. Wong, Yang Wang:
Generative and Discriminative Learning by CL-Net. IEEE Trans. Syst. Man Cybern. Part B 37(4): 1022-1029 (2007) - 2006
- [j1]Yanmin Sun, Yang Wang, Andrew K. C. Wong:
Boosting an Associative Classifier. IEEE Trans. Knowl. Data Eng. 18(7): 988-992 (2006) - [c4]Yanmin Sun, Andrew K. C. Wong, Yang Wang:
An Overview of Associative Classifiers. DMIN 2006: 138-143 - [c3]Yanmin Sun, Mohamed S. Kamel, Yang Wang:
Boosting for Learning Multiple Classes with Imbalanced Class Distribution. ICDM 2006: 592-602 - 2005
- [c2]Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong:
Empirical Study on Weighted Voting Multiple Classifiers. ICAPR (1) 2005: 335-344 - [c1]Yanmin Sun, Andrew K. C. Wong, Yang Wang:
Parameter Inference of Cost-Sensitive Boosting Algorithms. MLDM 2005: 21-30
Coauthor Index
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