Learning from small datasets containing nominal attributes. - Der-Chiang Li; Hung-Yu Chen; Qi-Shi Shi (Neurocomputing, 2018)

Using an attribute conversion approach for sample generation to learn small data with highly uncertain features. - Der-Chiang Li; Qi-Shi Shi; Ming-Da Li (Int. J. Prod. Res., 2018)

Building robust models for small data containing nominal inputs and continuous outputs based on possibility distributions. - Der-Chiang Li; Qi-Shi Shi; Hung-Yu Chen (Int. J. Mach. Learn. Cybern., 2019)

A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced Datasets. - Der-Chiang Li; Qi-Shi Shi; Yao-San Lin; Liang-Sian Lin (Entropy, 2022)