A machine-learning approach for predicting success in smoking cessation intervention. - Khishigsuren Davagdorj; Jong-Seol Lee; Kwang-Ho Park; Keun Ho Ryu (iCAST, 2019)

Class-Incremental Learning With Deep Generative Feature Replay for DNA Methylation-Based Cancer Classification. - Erdenebileg Batbaatar; Kwang-Ho Park; Tsatsral Amarbayasgalan; Khishigsuren Davagdorj; Lkhagvadorj Munkhdalai; Van-Huy Pham 001; Keun Ho Ryu (IEEE Access, 2020)

A Subtype Classification of Hematopoietic Cancer Using Machine Learning Approach. - Kwang-Ho Park; Van Huy Pham 001; Khishigsuren Davagdorj; Lkhagvadorj Munkhdalai; Keun Ho Ryu (ACIIDS (Companion), 2021)

BioBERT Based Efficient Clustering Framework for Biomedical Document Analysis. - Khishigsuren Davagdorj; Kwang-Ho Park; Tsatsral Amarbayasgalan; Lkhagvadorj Munkhdalai; Ling Wang 011; Meijing Li; Keun Ho Ryu (ICGEC, 2021)

Explainable Artificial Intelligence Based Framework for Non-Communicable Diseases Prediction. - Khishigsuren Davagdorj; Jang-Whan Bae; Van Huy Pham 001; Nipon Theera-Umpon; Keun Ho Ryu (IEEE Access, 2021)