An Integrated Framework Based on GAN and RBI for Learning with Insufficient Datasets by Yao-San Lin, Liang-Sian Lin, Chih-Ching Chen

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Detecting representative data and generating synthetic samples to improve learning accuracy with imbalanced data sets. by Der-Chiang Li, Susan C Hu, Liang-Sian Lin, Chun-Wu Yeh

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A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced Datasets by Der-Chiang Li, Qi-Shi Shi, Yao-San Lin, Liang-Sian Lin

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Improved support vector machine classification for imbalanced medical datasets by novel hybrid sampling combining modified mega-trend-diffusion and bagging extreme learning machine... by Liang-Sian Lin, Chen-Huan Kao, Yi-Jie Li, Hao-Hsuan Chen, Hung-Yu Chen

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A new approach to generating virtual samples to enhance classification accuracy with small data—a case of bladder cancer by Liang-Sian Lin, Susan C Hu, Yao-San Lin, Der-Chiang Li, Liang-Ren Siao

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