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2020 – today
- 2023
[j12]Liang-Sian Lin
, Yao-San Lin, Der-Chiang Li, Yi-Ting Chen:
Mega trend diffusion-siamese network oversampling for imbalanced datasets' SVM classification. Appl. Soft Comput. 143: 110406 (2023)- [j11]Liang-Sian Lin, Yao-San Lin, Der-Chiang Li, Yun-Hsuan Liu:
Improved learning performance for small datasets in high dimensions by new dual-net model for non-linear interpolation virtual sample generation. Decis. Support Syst. 172: 113996 (2023) - [j10]Liang-Sian Lin, Yao-San Lin, Der-Chiang Li:
Generating virtual samples to improve learning performance in small datasets with non-linear and asymmetric distributions. Neurocomputing 548: 126408 (2023) - 2022
- [j9]Der-Chiang Li, Qi-Shi Shi, Yao-San Lin, Liang-Sian Lin:
A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced Datasets. Entropy 24(3): 322 (2022) - [j8]Yao-San Lin, Liang-Sian Lin, Chih-Ching Chen:
An Integrated Framework Based on GAN and RBI for Learning with Insufficient Datasets. Symmetry 14(2): 339 (2022) - [j7]Der-Chiang Li, Szu-Chou Chen, Yao-San Lin, Wen-Yen Hsu:
A Novel Classification Method Based on a Two-Phase Technique for Learning Imbalanced Text Data. Symmetry 14(3): 567 (2022)
2010 – 2019
- 2019
- [c3]Yao-San Lin, Wan-Ni Cheng, Chien-Chih Chen, Der-Chiang Li, Hung-Yu Chen:
Generating Synthetic Samples to Improve Small Sample Learning with Mixed Numerical and Categorical Attributes. IIAI-AAI 2019: 567-572 - 2016
- [c2]Yao-San Lin:
Modeling with Insufficient Data to Increase Prediction Stability. IIAI-AAI 2016: 719-724 - 2015
- [c1]Yao-San Lin, Liang-Sian Lin, Der-Chiang Li, Wei-Lin Liao:
Non-parametric Statistical Assistance in Virtual Sample Selection for Small Data Set Prediction. ACIT-CSI 2015: 369-373 - 2012
- [j6]Der-Chiang Li, Wen-Chih Chen, Chiao-Wen Liu, Yao-San Lin:
A non-linear quality improvement model using SVR for manufacturing TFT-LCDs. J. Intell. Manuf. 23(3): 835-844 (2012) - 2010
- [j5]Yao-San Lin, Der-Chiang Li:
The Generalized-Trend-Diffusion modeling algorithm for small data sets in the early stages of manufacturing systems. Eur. J. Oper. Res. 207(1): 121-130 (2010)
2000 – 2009
- 2009
- [j4]Der-Chiang Li, Yao-San Lin, Yu-Cheng Huang:
Constructing marketing decision support systems using data diffusion technology: A case study of gas station diversification. Expert Syst. Appl. 36(2): 2525-2533 (2009) - 2008
- [j3]Der-Chiang Li, Yao-San Lin:
Learning management knowledge for manufacturing systems in the early stages using time series data. Eur. J. Oper. Res. 184(1): 169-184 (2008) - 2007
- [j2]Der-Chiang Li, Chih-Sen Wu, Tung-I Tsai, Yao-San Lin:
Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge. Comput. Oper. Res. 34(4): 966-982 (2007) - 2006
- [j1]Der-Chang Li, Yao-San Lin:
Using virtual sample generation to build up management knowledge in the early manufacturing stages. Eur. J. Oper. Res. 175(1): 413-434 (2006)
Coauthor Index
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