Yanmin Sun

According to our database, Yanmin Sun authored at least 13 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A Tabletop Nano-CT Image Noise Reduction Network Based on 3-Dimensional Axial Attention Mechanism.

Huijuan Fu, Linlin Zhu, Chunhui Wang, Xiaoqi Xi, Yu Han, Lei Li, Yanmin Sun, Bin Yan

Comput. Mater. Continua, 2024

2019

Railway Joint Detection Using Deep Convolutional Neural Networks.

Yanmin Sun, Yan Liu, Chunsheng Yang

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018

Preliminary Study: an Efficient Solving Algorithm for Determining the Exact Sampling Condition of Limited-Angle CT Reconstruction.

Ziheng Li, Wenkun Zhang, Lei Li, Yanmin Sun, Chaoyan Gao, Bin Yan, Linyuan Wang

Proceedings of the 14th International Conference on Natural Computation, 2018

2016

A hybrid projection decomposition algorithm for dual-energy computed tomography.

Lei Li, Linyuan Wang, Xiaoqi Xi, Bin Yan, Yanmin Sun

Proceedings of the 12th International Conference on Natural Computation, 2016

2009

Classification of Imbalanced Data: a Review.

Yanmin Sun, Andrew K. C. Wong, Mohamed S. Kamel

Int. J. Pattern Recognit. Artif. Intell., 2009

2007

Cost-Sensitive Boosting for Classification of Imbalanced Data.

Yanmin Sun

PhD thesis, 2007

Generative and Discriminative Learning by CL-Net.

Yanmin Sun, Andrew K. C. Wong, Yang Wang

IEEE Trans. Syst. Man Cybern. Part B, 2007

Cost-sensitive boosting for classification of imbalanced data.

Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong, Yang Wang

Pattern Recognit., 2007

2006

Boosting an Associative Classifier.

Yanmin Sun, Yang Wang, Andrew K. C. Wong

IEEE Trans. Knowl. Data Eng., 2006

Boosting for Learning Multiple Classes with Imbalanced Class Distribution.

Yanmin Sun, Mohamed S. Kamel, Yang Wang

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

An Overview of Associative Classifiers.

Yanmin Sun, Andrew K. C. Wong, Yang Wang

Proceedings of the 2006 International Conference on Data Mining, 2006

2005

Parameter Inference of Cost-Sensitive Boosting Algorithms.

Yanmin Sun, Andrew K. C. Wong, Yang Wang

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Empirical Study on Weighted Voting Multiple Classifiers.

Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong

Proceedings of the Pattern Recognition and Data Mining, 2005