Liang-Sian Lin

Orcid: 0000-0003-0607-3932

According to our database1, Liang-Sian Lin authored at least 22 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Bibliography

2024
Improving small sample prediction performance via novel nonlinear interpolation virtual sample generation with self-supervised learning.
Inf. Sci., 2024

2023
Improved learning performance for small datasets in high dimensions by new dual-net model for non-linear interpolation virtual sample generation.
Decis. Support Syst., September, 2023

Mega trend diffusion-siamese network oversampling for imbalanced datasets' SVM classification.
Appl. Soft Comput., August, 2023

Generating virtual samples to improve learning performance in small datasets with non-linear and asymmetric distributions.
Neurocomputing, 2023

2022
An Integrated Framework Based on GAN and RBI for Learning with Insufficient Datasets.
Symmetry, 2022

A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced Datasets.
Entropy, 2022

IoT-Based Driver Distraction Prevention System.
Proceedings of the Machine Learning and Artificial Intelligence, 2022

Improving Anomaly Detection in IoT-Based Solar Energy System Using SMOTE-PSO and SVM Model.
Proceedings of the Machine Learning and Artificial Intelligence, 2022

2019
Using virtual samples to improve learning performance for small datasets with multimodal distributions.
Soft Comput., 2019

Improving the Learning Accuracy of the Mega Trend Diffusion Technique for Small Data Sets.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

2018
An attribute extending method to improve learning performance for small datasets.
Neurocomputing, 2018

Rebuilding sample distributions for small dataset learning.
Decis. Support Syst., 2018

2017
The attribute-trend-similarity method to improve learning performance for small datasets.
Int. J. Prod. Res., 2017

2016
A Learning Approach with Under-and Over-Sampling for Imbalanced Data Sets.
Proceedings of the 5th IIAI International Congress on Advanced Applied Informatics, 2016

Improving Virtual Sample Generation for Small Sample Learning with Dependent Attributes.
Proceedings of the 5th IIAI International Congress on Advanced Applied Informatics, 2016

Extending Sample Information for Small Data Set Prediction.
Proceedings of the 5th IIAI International Congress on Advanced Applied Informatics, 2016

2015
Generating Multi-modality Virtual Samples with Soft DBSCAN for Small Data Set Learning.
Proceedings of the 3rd International Conference on Applied Computing and Information Technology, 2015

Non-parametric Statistical Assistance in Virtual Sample Selection for Small Data Set Prediction.
Proceedings of the 3rd International Conference on Applied Computing and Information Technology, 2015

2014
Improving learning accuracy by using synthetic samples for small datasets with non-linear attribute dependency.
Decis. Support Syst., 2014

Generating information for small data sets with a multi-modal distribution.
Decis. Support Syst., 2014

2013
A new approach to assess product lifetime performance for small data sets.
Eur. J. Oper. Res., 2013

2011
Assessing the lifetime performance index of Rayleigh products based on the Bayesian estimation under progressive type II right censored samples.
J. Comput. Appl. Math., 2011


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