Yanmin Sun

According to our database1, Yanmin Sun authored at least 12 papers between 2005 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Railway Joint Detection Using Deep Convolutional Neural Networks.
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.
Proceedings of the 14th International Conference on Natural Computation, 2018

2016
A hybrid projection decomposition algorithm for dual-energy computed tomography.
Proceedings of the 12th International Conference on Natural Computation, 2016

2009
Classification of Imbalanced Data: a Review.
Int. J. Pattern Recognit. Artif. Intell., 2009

2007
Cost-Sensitive Boosting for Classification of Imbalanced Data.
PhD thesis, 2007

Generative and Discriminative Learning by CL-Net.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Cost-sensitive boosting for classification of imbalanced data.
Pattern Recognit., 2007

2006
Boosting an Associative Classifier.
IEEE Trans. Knowl. Data Eng., 2006

Boosting for Learning Multiple Classes with Imbalanced Class Distribution.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

An Overview of Associative Classifiers.
Proceedings of the 2006 International Conference on Data Mining, 2006

2005
Parameter Inference of Cost-Sensitive Boosting Algorithms.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Empirical Study on Weighted Voting Multiple Classifiers.
Proceedings of the Pattern Recognition and Data Mining, 2005


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