Yao-San Lin

17 papers Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enhancing prediction accuracy for high-dimensional small-sample-size microarray data cancer by combining chebyshev interpolation with new dual-net GAN.
Appl. Soft Comput.
Liang-Sian Lin, Yao-San Lin, Der-Chiang Li, Susan C. Hu, Chih-I Huang
2024 J jnl
Data Augmentation for Voiceprint Recognition Using Generative Adversarial Networks.
Algorithms
Yao-San Lin, Hung-Yu Chen, Mei-Ling Huang, Tsung-Yu Hsieh
2023 J jnl
Generating virtual samples to improve learning performance in small datasets with non-linear and asymmetric distributions.
Neurocomputing
Liang-Sian Lin, Yao-San Lin, Der-Chiang Li
2023 J jnl
Improved learning performance for small datasets in high dimensions by new dual-net model for non-linear interpolation virtual sample generation.
Decis. Support Syst.
Liang-Sian Lin, Yao-San Lin, Der-Chiang Li, Yun-Hsuan Liu
2023 J jnl
Mega trend diffusion-siamese network oversampling for imbalanced datasets' SVM classification.
Appl. Soft Comput.
Liang-Sian Lin, Yao-San Lin, Der-Chiang Li, Yi-Ting Chen
2022 J jnl
A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced Datasets.
Entropy
Der-Chiang Li, Qi-Shi Shi, Yao-San Lin, Liang-Sian Lin
2022 J jnl
A Novel Classification Method Based on a Two-Phase Technique for Learning Imbalanced Text Data.
Symmetry
Der-Chiang Li, Szu-Chou Chen, Yao-San Lin, Wen-Yen Hsu
2022 J jnl
An Integrated Framework Based on GAN and RBI for Learning with Insufficient Datasets.
Symmetry
Yao-San Lin, Liang-Sian Lin, Chih-Ching Chen
2019 — conf
Generating Synthetic Samples to Improve Small Sample Learning with Mixed Numerical and Categorical Attributes.
IIAI-AAI
Yao-San Lin, Wan-Ni Cheng, Chien-Chih Chen, Der-Chiang Li, Hung-Yu Chen
2016 — conf
Modeling with Insufficient Data to Increase Prediction Stability.
IIAI-AAI
Yao-San Lin
2015 — conf
Non-parametric Statistical Assistance in Virtual Sample Selection for Small Data Set Prediction.
ACIT-CSI
Yao-San Lin, Liang-Sian Lin, Der-Chiang Li, Wei-Lin Liao
2012 J jnl
A non-linear quality improvement model using SVR for manufacturing TFT-LCDs.
J. Intell. Manuf.
Der-Chiang Li, Wen-Chih Chen, Chiao-Wen Liu, Yao-San Lin
2010 J jnl
The Generalized-Trend-Diffusion modeling algorithm for small data sets in the early stages of manufacturing systems.
Eur. J. Oper. Res.
Yao-San Lin, Der-Chiang Li
2009 J jnl
Constructing marketing decision support systems using data diffusion technology: A case study of gas station diversification.
Expert Syst. Appl.
Der-Chiang Li, Yao-San Lin, Yu-Cheng Huang
2008 J jnl
Learning management knowledge for manufacturing systems in the early stages using time series data.
Eur. J. Oper. Res.
Der-Chiang Li, Yao-San Lin
2007 J jnl
Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge.
Comput. Oper. Res.
Der-Chiang Li, Chih-Sen Wu, Tung-I Tsai, Yao-San Lin
2006 J jnl
Using virtual sample generation to build up management knowledge in the early manufacturing stages.
Eur. J. Oper. Res.
Der-Chang Li, Yao-San Lin