Liang-Sian Lin
Orcid: 0000-0003-0607-3932
According to our database1,
Liang-Sian Lin
authored at least 21 papers
between 2011 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
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
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
Neurocomputing, 2018
Decis. Support Syst., 2018
2017
The attribute-trend-similarity method to improve learning performance for small datasets.
Int. J. Prod. Res., 2017
2016
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
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
Decis. Support Syst., 2014
2013
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