Yanmin Sun - researchr alias

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Viewing Publication 1 - 12 from 12

2019

Railway Joint Detection Using Deep Convolutional Neural NetworksYanmin Sun, Yan Liu, Chunsheng Yang. case 2019: 235-240 [doi]

2018

Preliminary Study: an Efficient Solving Algorithm for Determining the Exact Sampling Condition of Limited-Angle CT ReconstructionZiheng Li, Wenkun Zhang, Lei Li, Yanmin Sun, Chaoyan Gao, Bin Yan, Linyuan Wang. icnc 2018: 384-389 [doi]

2016

A hybrid projection decomposition algorithm for dual-energy computed tomographyLei Li, Linyuan Wang, Xiaoqi Xi, Bin Yan, Yanmin Sun. icnc 2016: 1352-1356 [doi]

2009

Classification of Imbalanced Data: a ReviewYanmin Sun, Andrew K. C. Wong, Mohamed S. Kamel. ijprai, 23(4):687-719, 2009. [doi]

2007

Cost-Sensitive Boosting for Classification of Imbalanced DataYanmin Sun. PhD thesis, University of Waterloo, Ontario, Canada, 2007. [doi]

Cost-sensitive boosting for classification of imbalanced dataYanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong, Yang Wang. PR, 40(12):3358-3378, 2007. [doi]

Generative and Discriminative Learning by CL-NetYanmin Sun, Andrew K. C. Wong, Yang Wang. tsmc, 37(4):1022-1029, 2007. [doi]

2006

Boosting for Learning Multiple Classes with Imbalanced Class DistributionYanmin Sun, Mohamed S. Kamel, Yang Wang. icdm 2006: 592-602 [doi]

An Overview of Associative ClassifiersYanmin Sun, Andrew K. C. Wong, Yang Wang. dmin 2006: 138-143

Boosting an Associative ClassifierYanmin Sun, Yang Wang, Andrew K. C. Wong. tkde, 18(7):988-992, 2006. [doi]

2005

Empirical Study on Weighted Voting Multiple ClassifiersYanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong. icapr 2005: 335-344 [doi]

Parameter Inference of Cost-Sensitive Boosting AlgorithmsYanmin Sun, Andrew K. C. Wong, Yang Wang. mldm 2005: 21-30 [doi]

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