Liang-Sian Lin

24 papers Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Improving imbalanced data classification via nonlinear synthetic sample generation with dual autoencoder.
Appl. Soft Comput.
Liang-Sian Lin
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
Improving small sample prediction performance via novel nonlinear interpolation virtual sample generation with self-supervised learning.
Inf. Sci.
Liang-Sian Lin
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
An Integrated Framework Based on GAN and RBI for Learning with Insufficient Datasets.
Symmetry
Yao-San Lin, Liang-Sian Lin, Chih-Ching Chen
2022 — conf
Improving Anomaly Detection in IoT-Based Solar Energy System Using SMOTE-PSO and SVM Model.
MLIS
Liang-Sian Lin, Zhi-Yu Chen, Yu Wang, Li-Wei Jiang
2022 — conf
IoT-Based Driver Distraction Prevention System.
MLIS
Liang-Sian Lin, Li-Wei Jiang, Yu Wang, Zhi-Yu Chen, Yi-Jie Li
2019 — conf
Improving the Learning Accuracy of the Mega Trend Diffusion Technique for Small Data Sets.
IIAI-AAI
Tung-I Tsai, Chun-Wu Yeh, Liang-Sian Lin, I-Hsiang Wen
2019 J jnl
Using virtual samples to improve learning performance for small datasets with multimodal distributions.
Soft Comput.
Der-Chiang Li, Liang-Sian Lin, Chien-Chih Chen, Wei-Hao Yu
2018 J jnl
An attribute extending method to improve learning performance for small datasets.
Neurocomputing
Liang-Sian Lin, Der-Chiang Li, Hung-Yu Chen, Yu-Chun Chiang
2018 J jnl
Rebuilding sample distributions for small dataset learning.
Decis. Support Syst.
Der-Chiang Li, Wu-Kuo Lin, Chien-Chih Chen, Hung-Yu Chen, Liang-Sian Lin
2017 J jnl
The attribute-trend-similarity method to improve learning performance for small datasets.
Int. J. Prod. Res.
Der-Chiang Li, Wu-Kuo Lin, Liang-Sian Lin, Chien-Chih Chen, Wen-Ting Huang
2016 — conf
A Learning Approach with Under-and Over-Sampling for Imbalanced Data Sets.
IIAI-AAI
Chun-Wu Yeh, Der-Chiang Li, Liang-Sian Lin, Tung-I Tsai
2016 — conf
Extending Sample Information for Small Data Set Prediction.
IIAI-AAI
Hung-Yu Chen, Der-Chiang Li, Liang-Sian Lin
2016 — conf
Improving Virtual Sample Generation for Small Sample Learning with Dependent Attributes.
IIAI-AAI
Liang-Sian Lin, Der-Chiang Li, Chih-Wei Pan
2015 — conf
Generating Multi-modality Virtual Samples with Soft DBSCAN for Small Data Set Learning.
ACIT-CSI
Liang-Sian Lin, Der-Chiang Li, Wei-Hao Yu, Yu-Mei Hsueh
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
2014 J jnl
Generating information for small data sets with a multi-modal distribution.
Decis. Support Syst.
Der-Chiang Li, Liang-Sian Lin
2014 J jnl
Improving learning accuracy by using synthetic samples for small datasets with non-linear attribute dependency.
Decis. Support Syst.
Der-Chiang Li, Liang-Sian Lin, Li-Jhong Peng
2013 J jnl
A new approach to assess product lifetime performance for small data sets.
Eur. J. Oper. Res.
Der-Chiang Li, Liang-Sian Lin
2011 J jnl
Assessing the lifetime performance index of Rayleigh products based on the Bayesian estimation under progressive type II right censored samples.
J. Comput. Appl. Math.
Wen-Chuan Lee, Jong-Wuu Wu, Mei-Ling Hong, Liang-Sian Lin, Ruei-Ling Chan