Associating kNN and SVM for Higher Classification Accuracy. - Che-Chang Hsu; Chan-Yun Yang; Jr-Syu Yang (CIS (1), 2005)

Learning SVM with Varied Example Cost: A k NN Evaluating Approach. - Chan-Yun Yang; Che-Chang Hsu; Jr-Syu Yang (CIS, 2006)

Flight-delay propagation, allowing for behavioural response. - Chaug-Ing Hsu; Che-Chang Hsu; Hui-Chieh Li (Int. J. Crit. Infrastructures, 2007)

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)

Stray Example Sheltering by Loss Regularized SVM and k NN Preprocessor. - Chan-Yun Yang; Che-Chang Hsu; Jr-Syu Yang (Neural Process. Lett., 2009)

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)

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)

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)

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)

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 (ICCE-TW, 2016)

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)