Yanmin Sun

13 papers A* 1Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Tabletop Nano-CT Image Noise Reduction Network Based on 3-Dimensional Axial Attention Mechanism.
Comput. Mater. Continua
Huijuan Fu, Linlin Zhu, Chunhui Wang, Xiaoqi Xi, Yu Han, Lei Li, Yanmin Sun, Bin Yan
2019 — conf
Railway Joint Detection Using Deep Convolutional Neural Networks.
CASE
Yanmin Sun, Yan Liu, Chunsheng Yang
2018 — conf
Preliminary Study: an Efficient Solving Algorithm for Determining the Exact Sampling Condition of Limited-Angle CT Reconstruction.
ICNC-FSKD
Ziheng Li, Wenkun Zhang, Lei Li, Yanmin Sun, Chaoyan Gao, Bin Yan, Linyuan Wang
2016 — conf
A hybrid projection decomposition algorithm for dual-energy computed tomography.
ICNC-FSKD
Lei Li, Linyuan Wang, Xiaoqi Xi, Bin Yan, Yanmin Sun
2009 J jnl
Classification of Imbalanced Data: a Review.
Int. J. Pattern Recognit. Artif. Intell.
Yanmin Sun, Andrew K. C. Wong, Mohamed S. Kamel
2007 — —
Cost-Sensitive Boosting for Classification of Imbalanced Data.
Yanmin Sun
2007 J jnl
Cost-sensitive boosting for classification of imbalanced data.
Pattern Recognit.
Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong, Yang Wang
2007 J jnl
Generative and Discriminative Learning by CL-Net.
IEEE Trans. Syst. Man Cybern. Part B
Yanmin Sun, Andrew K. C. Wong, Yang Wang
2006 — conf
An Overview of Associative Classifiers.
DMIN
Yanmin Sun, Andrew K. C. Wong, Yang Wang
2006 J jnl
Boosting an Associative Classifier.
IEEE Trans. Knowl. Data Eng.
Yanmin Sun, Yang Wang, Andrew K. C. Wong
2006 A* conf
Boosting for Learning Multiple Classes with Imbalanced Class Distribution.
ICDM
Yanmin Sun, Mohamed S. Kamel, Yang Wang
2005 — conf
Empirical Study on Weighted Voting Multiple Classifiers.
ICAPR (1)
Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong
2005 — conf
Parameter Inference of Cost-Sensitive Boosting Algorithms.
MLDM
Yanmin Sun, Andrew K. C. Wong, Yang Wang