Liang-Sian Lin

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 18

Top Topics

Sample Selection

Imbalanced Datasets

Svm Classification

Top Venues

Decis. Support Syst.

Publications

Liang-Sian Lin
Improving small sample prediction performance via novel nonlinear interpolation virtual sample generation with self-supervised learning. Inf. Sci. 678 (2024)
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 (2023)
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 (2023)
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 (2023)
Liang-Sian Lin, Li-Wei Jiang, Yu Wang, Zhi-Yu Chen, Yi-Jie Li
IoT-Based Driver Distraction Prevention System. MLIS (2022)
Liang-Sian Lin, Zhi-Yu Chen, Yu Wang, Li-Wei Jiang
Improving Anomaly Detection in IoT-Based Solar Energy System Using SMOTE-PSO and SVM Model. MLIS (2022)
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) (2022)
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) (2022)
Der-Chiang Li, Liang-Sian Lin, Chien-Chih Chen, Wei-Hao Yu
Using virtual samples to improve learning performance for small datasets with multimodal distributions. Soft Comput. 23 (22) (2019)
Tung-I Tsai, Chun-Wu Yeh, Liang-Sian Lin, I-Hsiang Wen
Improving the Learning Accuracy of the Mega Trend Diffusion Technique for Small Data Sets. IIAI-AAI (2019)
Der-Chiang Li, Wu-Kuo Lin, Chien-Chih Chen, Hung-Yu Chen, Liang-Sian Lin
Rebuilding sample distributions for small dataset learning. Decis. Support Syst. 105 (2018)
Liang-Sian Lin, Der-Chiang Li, Hung-Yu Chen, Yu-Chun Chiang
An attribute extending method to improve learning performance for small datasets. Neurocomputing 286 (2018)
Der-Chiang Li, Wu-Kuo Lin, Liang-Sian Lin, Chien-Chih Chen, Wen-Ting Huang
The attribute-trend-similarity method to improve learning performance for small datasets. Int. J. Prod. Res. 55 (7) (2017)
Liang-Sian Lin, Der-Chiang Li, Chih-Wei Pan
Improving Virtual Sample Generation for Small Sample Learning with Dependent Attributes. IIAI-AAI (2016)
Hung-Yu Chen, Der-Chiang Li, Liang-Sian Lin
Extending Sample Information for Small Data Set Prediction. IIAI-AAI (2016)
Chun-Wu Yeh, Der-Chiang Li, Liang-Sian Lin, Tung-I Tsai
A Learning Approach with Under-and Over-Sampling for Imbalanced Data Sets. IIAI-AAI (2016)
Liang-Sian Lin, Der-Chiang Li, Wei-Hao Yu, Yu-Mei Hsueh
Generating Multi-modality Virtual Samples with Soft DBSCAN for Small Data Set Learning. ACIT-CSI (2015)
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)
Der-Chiang Li, Liang-Sian Lin, Li-Jhong Peng
Improving learning accuracy by using synthetic samples for small datasets with non-linear attribute dependency. Decis. Support Syst. 59 (2014)
Der-Chiang Li, Liang-Sian Lin
Generating information for small data sets with a multi-modal distribution. Decis. Support Syst. 66 (2014)
Der-Chiang Li, Liang-Sian Lin
A new approach to assess product lifetime performance for small data sets. Eur. J. Oper. Res. 230 (2) (2013)
Wen-Chuan Lee, Jong-Wuu Wu, Mei-Ling Hong, Liang-Sian Lin, Ruei-Ling Chan
Assessing the lifetime performance index of Rayleigh products based on the Bayesian estimation under progressive type II right censored samples. J. Comput. Appl. Math. 235 (6) (2011)