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ORCIDChe-Chang Hsu
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2010 – 2019
- 2019
[j8]Che-Chang Hsu
, Kuo-Shong Wang, Hung-Yuan Chung, Shih-Hsing Chang:
Equation of SVM-rebalancing: the point-normal form of a plane for class imbalance problem. Neural Comput. Appl. 31(10): 6013-6025 (2019)- 2016
- [c3]Kang-Chun Peng, Chiu-Chin Lin, Zu-Han Lin, Chien-Chang Chen, Che-Chang Hsu:
A low noise X-band frequency synthesizer for 5G applications. ICCE-TW 2016: 1-2 - 2015
- [j7]Che-Chang Hsu, Kuo-Shong Wang, Hung-Yuan Chung, Shih-Hsing Chang:
A study of visual behavior of multidimensional scaling for kernel perceptron algorithm. Neural Comput. Appl. 26(3): 679-691 (2015) - 2012
- [j6]Yen-Wen Lin, Che-Chang Hsu, Jhih-Siang Wang, Lin-Huang Chang:
A local synchronization protocol for low-power data transmission in wireless sensor networks. Simul. 88(12): 1419-1437 (2012) - 2011
- [j5]Che-Chang Hsu, Kuo-Shong Wang, Shih-Hsing Chang:
Bayesian decision theory for support vector machines: Imbalance measurement and feature optimization. Expert Syst. Appl. 38(5): 4698-4704 (2011) - [j4]Hung-Yuan Chung, Chih-Hsiang Ho, Che-Chang Hsu:
Support vector machines using Bayesian-based approach in the issue of unbalanced classifications. Expert Syst. Appl. 38(9): 11447-11452 (2011)
2000 – 2009
- 2009
- [j3]Che-Chang Hsu, Ming-Feng Han, Shih-Hsing Chang, Hung-Yuan Chung:
Fuzzy support vector machines with the uncertainty of parameter C. Expert Syst. Appl. 36(3): 6654-6658 (2009) - [j2]Chan-Yun Yang, Che-Chang Hsu, Jr-Syu Yang:
Stray Example Sheltering by Loss Regularized SVM and k NN Preprocessor. Neural Process. Lett. 29(1): 7-27 (2009) - 2007
- [j1]Chaug-Ing Hsu, Che-Chang Hsu, Hui-Chieh Li:
Flight-delay propagation, allowing for behavioural response. Int. J. Crit. Infrastructures 3(3/4): 301-326 (2007) - 2006
- [c2]Chan-Yun Yang, Che-Chang Hsu, Jr-Syu Yang:
Learning SVM with Varied Example Cost: A k NN Evaluating Approach. CIS 2006: 326-335 - 2005
- [c1]Che-Chang Hsu, Chan-Yun Yang, Jr-Syu Yang:
Associating kNN and SVM for Higher Classification Accuracy. CIS (1) 2005: 550-555
Coauthor Index
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