Data mining criteria for tree-based regression and classification. - Andreas Buja; Yung-Seop Lee (KDD, 2001)

Enriched random forests. - Dhammika Amaratunga; Javier Cabrera; Yung-Seop Lee (Bioinform., 2008)

Resampling-Based Similarity Measures for High-Dimensional Data. - Dhammika Amaratunga; Javier Cabrera; Yung-Seop Lee (J. Comput. Biol., 2015)

Partially collapsed Gibbs sampling for latent Dirichlet allocation. - Hongju Park; Taeyoung Park; Yung-Seop Lee (Expert Syst. Appl., 2019)

Flower classification with modified multimodal convolutional neural networks. - Kang Il Bae; Junghoon Park; Jongga Lee; Yung-Seop Lee; Changwon Lim (Expert Syst. Appl., 2020)

Double random forest. - Sunwoo Han; Hyunjoong Kim; Yung-Seop Lee (Mach. Learn., 2020)

Maximizing adjusted covariance: new supervised dimension reduction for classification. - Hyejoon Park; Hyunjoong Kim; Yung-Seop Lee (Comput. Stat., 2025)