Che-Chang Hsu

According to our database, Che-Chang Hsu authored at least 11 papers between 2005 and 2019.

Collaborative distances:

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

2019

Equation of SVM-rebalancing: the point-normal form of a plane for class imbalance problem.

Che-Chang Hsu, Kuo-Shong Wang, Hung-Yuan Chung, Shih-Hsing Chang

Neural Comput. Appl., 2019

2016

A low noise X-band frequency synthesizer for 5G applications.

Kang-Chun Peng, Chiu-Chin Lin, Zu-Han Lin, Chien-Chang Chen, Che-Chang Hsu

Proceedings of the IEEE International Conference on Consumer Electronics-Taiwan, 2016

2015

A study of visual behavior of multidimensional scaling for kernel perceptron algorithm.

Che-Chang Hsu, Kuo-Shong Wang, Hung-Yuan Chung, Shih-Hsing Chang

Neural Comput. Appl., 2015

2012

A local synchronization protocol for low-power data transmission in wireless sensor networks.

Yen-Wen Lin, Che-Chang Hsu, Jhih-Siang Wang, Lin-Huang Chang

Simul., 2012

2011

Bayesian decision theory for support vector machines: Imbalance measurement and feature optimization.

Che-Chang Hsu, Kuo-Shong Wang, Shih-Hsing Chang

Expert Syst. Appl., 2011

Support vector machines using Bayesian-based approach in the issue of unbalanced classifications.

Hung-Yuan Chung, Chih-Hsiang Ho, Che-Chang Hsu

Expert Syst. Appl., 2011

2009

Stray Example Sheltering by Loss Regularized SVM and <i>k</i> NN Preprocessor.

Chan-Yun Yang, Che-Chang Hsu, Jr-Syu Yang

Neural Process. Lett., 2009

Fuzzy support vector machines with the uncertainty of parameter C.

Che-Chang Hsu, Ming-Feng Han, Shih-Hsing Chang, Hung-Yuan Chung

Expert Syst. Appl., 2009

2007

Flight-delay propagation, allowing for behavioural response.

Chaug-Ing Hsu, Che-Chang Hsu, Hui-Chieh Li

Int. J. Crit. Infrastructures, 2007

2006

Learning SVM with Varied Example Cost: A <i>k</i> NN Evaluating Approach.

Chan-Yun Yang, Che-Chang Hsu, Jr-Syu Yang

Proceedings of the Computational Intelligence and Security, International Conference, 2006

2005

Associating <i>k</i>NN and SVM for Higher Classification Accuracy.

Che-Chang Hsu, Chan-Yun Yang, Jr-Syu Yang

Proceedings of the Computational Intelligence and Security, International Conference, 2005