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Institution Date Title Author
國立成功大學 2023-09-1 Generating virtual samples to improve learning performance in small datasets with non-linear and asymmetric distributions Lin;Liang-Sian;Lin;Yao-San;Li;Der-Chiang
國立成功大學 2023-09 Improved learning performance for small datasets in high dimensions by new dual-net model for non-linear interpolation virtual sample generation Lin;Liang-Sian;Lin;Yao-San;Li;-Chiang, Der;Liu;Yun-Hsuan
國立成功大學 2023-08 Mega trend diffusion-siamese network oversampling for imbalanced datasets' SVM classification Lin;Liang-Sian;Lin;Yao-San;Li;Der-Chiang;Chen;Yi-Ting
國立成功大學 2022 A new approach to generating virtual samples to enhance classification accuracy with small data-a case of bladder cancer Lin;Liang-Sian;Hu;Susan, C.;Lin;Yao-San;Li;Der-Chiang;Siao;Liang-Ren
國立成功大學 2018-04-19 An attribute extending method to improve learning performance for small datasets Lin;Liang-Sian;Li;Der-Chiang;Chen;Hung-Yu;Chiang;Yu-Chun
國立成功大學 2018-01 Rebuilding sample distributions for small dataset learning Li;Der-Chiang;Lin;Wu-Kuo;Chen;Chien-Chih;Chen;Hung-Yu;Lin;Liang-Sian
國立成功大學 2017 The attribute-trend-similarity method to improve learning performance for small datasets Li;Der-Chiang;Lin;Wu-Kuo;Lin;Liang-Sian;Chen;Chien-Chih;Huang;Wen-Ting

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