國立臺北護理健康大學 |
2022-11 |
Improving Anomaly Detection in IoT-Based Solar Energy System Using SMOTE-PSO and SVM Model
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Lin, Liang-Sian; Chen, Zhi-Yu; Wang, Yu; Jiang, Li-Wei |
國立臺北護理健康大學 |
2022-04 |
A new approach to generating virtual samples to enhance classification accuracy with small data—a case of bladder cancer
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Lin, Liang-Sian; Hu, Susan C; Lin, Yao-San; Li, Der-Chiang; Siao, Liang-Ren |
國立臺北護理健康大學 |
2022-02 |
An Integrated Framework Based on GAN and RBI for Learning with Insufficient Datasets
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Lin, Yao-San; Lin, Liang-Sian; Chen, Chih-Ching |
國立臺北護理健康大學 |
2022-02 |
A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced Datasets
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Li, Der-Chiang; Shi, Qi-Shi; Lin, Yao-San; Lin, Liang-Sian |
國立臺北護理健康大學 |
2022 |
A Fuzzy-based Approach for Improving Accuracy of Grey Forecasting Models.
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Tsai, Tung-I; Yeh, Chun Wu; Lin, Liang-Sian; Chang, Che-jung; Li, Der-Chiang |
國立臺北護理健康大學 |
2022 |
IoT-Based Driver Distraction Prevention System
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Lin, Liang-Sian; Jiang, Li-Wei; Wang, Yu; Chen, Zhi-Yu; Li, Yi-Jie |
國立臺北護理健康大學 |
2019-07 |
Improving the learning accuracy of the mega trend diffusion technique for small data sets
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Tsai, Tung-I; Yeh, Chun-Wu; Lin, Liang-Sian; Wen, I-Hsiang |
國立臺北護理健康大學 |
2019-01 |
Using virtual samples to improve learning performance for small datasets with multimodal distributions
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Li, Der-Chiang; Lin, Liang-Sian; Chen, Chien-Chih; Yu, Wei-Hao |
國立臺北護理健康大學 |
2018-04 |
An attribute extending method to improve learning performance for small datasets
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Lin, Liang-Sian; Li, Der-Chiang; Chen, Hung-Yu; Chiang, Yu-Chun |
國立臺北護理健康大學 |
2018-01 |
Rebuilding sample distributions for small dataset learning
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Li, Der-Chiang; Lin, Wu-Kuo; Chen, Chien-Chih; Chen, Hung-Yu; Lin, Liang-Sian |
國立臺北護理健康大學 |
2017-08 |
Detecting representative data and generating synthetic samples to improve learning accuracy with imbalanced data sets
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Li, Der-Chiang; Hu, Susan C; Lin, Liang-Sian; Yeh, Chun-Wu |
國立臺北護理健康大學 |
2016-07 |
A learning approach with under-and over-sampling for imbalanced data sets
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Yeh, Chun-Wu; Li, Der-Chiang; Lin, Liang-Sian; Tsai, Tung-I |
國立臺北護理健康大學 |
2016-07 |
Extending sample information for small data set prediction
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Chen, Hung-Yu; Li, Der-Chiang; Lin, Liang-Sian |
國立臺北護理健康大學 |
2016-06 |
Improving virtual sample generation for small sample learning with dependent attributes
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Lin, Liang-Sian; Li, Der-Chiang; Pan, Chih-Wei |
國立臺北護理健康大學 |
2015-09 |
The attribute-trend-similarity method to improve learning performance for small datasets
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Li, Der-Chiang; Lin, Wu-Kuo; Lin, Liang-Sian; Chen, Chien-Chih; Huang, Wen-Ting |
國立臺北護理健康大學 |
2015-07 |
Non-parametric Statistical Assistance in Virtual Sample Selection for Small Data Set Prediction
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Lin, Yao-San; Lin, Liang-Sian; Li, Der-Chiang; Liao, Wei-Lin |
國立臺北護理健康大學 |
2015-07 |
Generating Multi-modality Virtual Samples with Soft DBSCAN for Small Data Set Learning
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Lin, Liang-Sian; Li, Der-Chiang; Yu, Wei-Hao; Hsueh, Yu-Mei |
國立臺北護理健康大學 |
2014-10 |
Generating information for small data sets with a multi-modal distribution
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Li, Der-Chiang; Lin, Liang-Sian |
國立成功大學 |
2014-07-11 |
生成多峰性虛擬樣本以評估小資料集之產品壽命性能
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林良憲; Lin, Liang-Sian |
國立臺北護理健康大學 |
2014-03 |
Improving learning accuracy by using synthetic samples for small datasets with non-linear attribute dependency
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Li, Der-Chiang; Lin, Liang-Sian; Peng, Li-Jhong |
國立臺北護理健康大學 |
2013-11 |
A learning method for small data sets with multimodality variables
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Li, Der-Chiang; Chang, Yu-Ching; Su, Mei-Lan; Lin, Liang-Sian |
國立成功大學 |
2013-10-16 |
A new approach to assess product lifetime performance for small data sets
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Li, Der-Chiang; Lin, Liang-Sian |
國立臺北護理健康大學 |
2013-10 |
A new approach to assess product lifetime performance for small data sets
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Li, Der-Chiang; Lin, Liang-Sian |
國立臺北護理健康大學 |
2011-01 |
Assessing the lifetime performance index of Rayleigh products based on the Bayesian estimation under progressive type II right censored samples
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Lee, Wen-Chuan; Wu, Jong-Wuu; Hong, Mei-Ling; Lin, Liang-Sian; Chan, Ruei-Ling |