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Liang-Sian Lin

Showing results (1-10 of 6) with videos related to

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Plos One|August 4, 2017
Detecting representative data and generating synthetic samples to improve learning accuracy with imbalanced data setsDer-Chiang Li, Susan C Hu, Liang-Sian Lin, et al.
Entropy (Basel, Switzerland)|March 25, 2022
A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced DatasetsDer-Chiang Li, Qi-Shi Shi, Yao-San Lin, et al.
Journal of Affective Disorders|October 13, 2025
Suicide attempts and associated factors in patients with dementia: A 7-year population-based cohort study in TaiwanChih-Ching Liu, Chien-Hui Liu, Ming-Chung Ko, et al.
Mathematical Biosciences and Engineering : MBE|December 5, 2023
Improved support vector machine classification for imbalanced medical datasets by novel hybrid sampling combining modified mega-trend-diffusion and bagging extreme learning machine modelLiang-Sian Lin, Chen-Huan Kao, Yi-Jie Li, et al.
Mathematical Biosciences and Engineering : MBE|May 23, 2022
A new approach to generating virtual samples to enhance classification accuracy with small data-a case of bladder cancerLiang-Sian Lin, Susan C Hu, Yao-San Lin, et al.
Discover Oncology|February 22, 2026
Manifold-guided SMOTified dual-channel conditional GAN improving highly-imbalanced biomedical data classificationLiang-Sian Lin, Chien-Hsin Lin, Hsin-Yu Chang, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Plos One|August 4, 2017
Detecting representative data and generating synthetic samples to improve learning accuracy with imbalanced data setsDer-Chiang Li, Susan C Hu, Liang-Sian Lin, et al.
Entropy (Basel, Switzerland)|March 25, 2022
A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced DatasetsDer-Chiang Li, Qi-Shi Shi, Yao-San Lin, et al.
Journal of Affective Disorders|October 13, 2025
Suicide attempts and associated factors in patients with dementia: A 7-year population-based cohort study in TaiwanChih-Ching Liu, Chien-Hui Liu, Ming-Chung Ko, et al.
Mathematical Biosciences and Engineering : MBE|December 5, 2023
Improved support vector machine classification for imbalanced medical datasets by novel hybrid sampling combining modified mega-trend-diffusion and bagging extreme learning machine modelLiang-Sian Lin, Chen-Huan Kao, Yi-Jie Li, et al.
Mathematical Biosciences and Engineering : MBE|May 23, 2022
A new approach to generating virtual samples to enhance classification accuracy with small data-a case of bladder cancerLiang-Sian Lin, Susan C Hu, Yao-San Lin, et al.
Discover Oncology|February 22, 2026
Manifold-guided SMOTified dual-channel conditional GAN improving highly-imbalanced biomedical data classificationLiang-Sian Lin, Chien-Hsin Lin, Hsin-Yu Chang, et al.
Pageof 1