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Lin, Liang-Sian
545  Ergebnisse:
Personensuche X
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1

Developing Low-cost Electroencephalography-based Sleep Moni..:

, In: 2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE),
Li, Yi-Jie ; Lin, Liang-Sian ; Chen, Hao-Hsuan.. - p. 39-42 , 2023
Link: https://doi.org/10.1109/..
 
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2

Generating virtual samples to improve learning performance ..:

Lin, Liang-Sian ; Lin, Yao-San ; Li, Der-Chiang
Neurocomputing.  548 (2023)  - p. 126408 , 2023
Link: https://doi.org/10.1016/..
 
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3

Improved learning performance for small datasets in high di..:

Lin, Liang-Sian ; Lin, Yao-San ; Li, Der-Chiang.
Decision Support Systems.  172 (2023)  - p. 113996 , 2023
Link: https://doi.org/10.1016/..
 
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4

Driver Fatigue Detection Using TGAM EEG Signal Processing M..:

, In: 2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE),
Lin, Liang-Sian ; Tsai, Hsiang-Yu ; Li, Yi-Jie.. - p. 984-986 , 2023
Link: https://doi.org/10.1109/..
 
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5

EEG Analyzing Color Temperature Influence on Emotions Based..:

, In: 2023 IEEE 6th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE),
Wang, Yu-Xiang ; Lin, Liang-Sian ; Tsai, Hsiang-Yu - p. 441-444 , 2023
Link: https://doi.org/10.1109/..
 
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6

Mega trend diffusion-siamese network oversampling for imbal..:

Lin, Liang-Sian ; Lin, Yao-San ; Li, Der-Chiang.
Applied Soft Computing.  143 (2023)  - p. 110406 , 2023
Link: https://doi.org/10.1016/..
 
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7

Sleep Quality Monitoring IoT-Based Healthcare System:

, In: 2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS),
Jiang, Li-Wei ; Li, Yi-Jie ; Lin, Liang-Sian. - p. 92-95 , 2023
Link: https://doi.org/10.1109/..
 
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8

A Boundary-Information-Based Oversampling Approach to Impro..:

Li, Der-Chiang ; Shi, Qi-Shi ; Lin, Yao-San.
Entropy.  24 (2022)  3 - p. 322 , 2022
Link: https://doi.org/10.3390/..
 
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9

An Integrated Framework Based on GAN and RBI for Learning w..:

Lin, Yao-San ; Lin, Liang-Sian ; Chen, Chih-Ching
Symmetry.  14 (2022)  2 - p. 339 , 2022
Link: https://doi.org/10.3390/..
 
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10

Improving the Learning Accuracy of the Mega Trend Diffusion..:

, In: 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI),
Tsai, Tung-I ; Yeh, Chun-Wu ; Lin, Liang-Sian. - p. 573-578 , 2019
Link: https://doi.org/10.1109/..
 
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11

Using virtual samples to improve learning performance for s..:

Li, Der-Chiang ; Lin, Liang-Sian ; Chen, Chien-Chih.
Soft Computing.  23 (2019)  22 - p. 11883-11900 , 2019
Link: https://doi.org/10.1007/..
 
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12

An attribute extending method to improve learning performan..:

Lin, Liang-Sian ; Li, Der-Chiang ; Chen, Hung-Yu.
Neurocomputing.  286 (2018)  - p. 75-87 , 2018
Link: https://doi.org/10.1016/..
 
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13

Rebuilding sample distributions for small dataset learning:

Li, Der-Chiang ; Lin, Wu-Kuo ; Chen, Chien-Chih..
Decision Support Systems.  105 (2018)  - p. 66-76 , 2018
Link: https://doi.org/10.1016/..
 
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14

The attribute-trend-similarity method to improve learning p..:

, In: International journal of production research / Institution of Production Engineers ; American Institute of Industrial Engineers ; Society of Manufacturing Engineers
Li, Der-Chiang ; Lin, Wu-Kuo ; Lin, Liang-Sian... (2017)  7/8 - p. 1898-1913
Exemplare: Zentrale;
 
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15

Detecting representative data and generating synthetic samp..:

Li, Der-Chiang ; Hu, Susan C. ; Lin, Liang-Sian..
PLOS ONE.  12 (2017)  8 - p. e0181853 , 2017
Link: https://doi.org/10.1371/..
 
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