Permutation based testing on covariance separability. - Seongoh Park; Johan Lim; Xinlei Wang 001; Sanghan Lee (Comput. Stat., 2019)

Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequences. - Younghoon Kim; Tao Wang 161; Danyi Xiong; Xinlei Wang 001; Seongoh Park (BMC Bioinform., 2022)

Robust tests for scatter separability beyond Gaussianity. - Seungkyu Kim; Seongoh Park; Johan Lim; Sang Han Lee (Comput. Stat. Data Anal., 2023)

Variable selection in Bayesian multiple instance regression using shotgun stochastic search. - Seongoh Park; Joungyoun Kim; Xinlei Wang; Johan Lim (Comput. Stat. Data Anal., 2024)

High-dimensional missing data imputation via undirected graphical model. - Yoonah Lee; Seongoh Park (Stat. Comput., 2024)

Linear covariance selection model via ℓ1-penalization. - Kwan-Young Bak; Seongoh Park (Comput. Stat. Data Anal., 2025)

Risk factors for tuberculosis treatment outcomes: a statistical learning-based exploration using the SINAN database with incomplete observations. - Nguyen Ky Phat; Yoonah Lee; Dinh Hoa Vu; Nguyen Phuoc Long; Seongoh Park (BMC Medical Informatics Decis. Mak., 2025)