Application of a Mobile Chronic Disease Health-Care System for Hypertension Based on Big Data Platforms. - Dingkun Li; Hyun Woo Park; Erdenebileg Batbaatar; Lkhagvadorj Munkhdalai; Ibrahim Musa; Meijing Li; Keun Ho Ryu (J. Sensors, 2018)

Advanced Neural Network Approach, Its Explanation with LIME for Credit Scoring Application. - Lkhagvadorj Munkhdalai; Ling Wang 011; Hyun Woo Park; Keun Ho Ryu (ACIIDS (2), 2019)

An End-to-End Adaptive Input Selection With Dynamic Weights for Forecasting Multivariate Time Series. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Kwang-Ho Park; Tsatsral Amarbayasgalan; Erdenebileg Batbaatar; Hyun Woo Park; Keun Ho Ryu (IEEE Access, 2019)

Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Kwang-Ho Park; Heon Gyu Lee; Meijing Li; Keun Ho Ryu (IEEE Access, 2019)

VAR-GRU: A Hybrid Model for Multivariate Financial Time Series Prediction. - Lkhagvadorj Munkhdalai; Meijing Li; Nipon Theera-Umpon; Sansanee Auephanwiriyakul; Keun Ho Ryu (ACIIDS (2), 2020)

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)

Deep Learning-Based Demand Forecasting for Korean Postal Delivery Service. - Lkhagvadorj Munkhdalai; Kwang-Ho Park; Erdenebileg Batbaatar; Nipon Theera-Umpon; Keun Ho Ryu (IEEE Access, 2020)

A Locally Adaptive Interpretable Regression. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Keun Ho Ryu (CoRR, 2020)

GEV-NN: A deep neural network architecture for class imbalance problem in binary classification. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Keun Ho Ryu (Knowl. Based Syst., 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)

Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Van Huy Pham 001; Meijing Li; Keun Ho Ryu; Nipon Theera-Umpon (IEEE Access, 2022)

NFT Appraisal Using Machine Learning. - Ahmed Dawod Mohammed Dawod; Lkhagvadorj Munkhdalai; Kwang-Ho Park; Keun Ho Ryu; Van Huy Pham 001 (APIT, 2023)

Discrimination Neural Network Model for Binary Classification Tasks on Tabular Data. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Jang-Eui Hong; Van Huy Pham 001; Nipon Theera-Umpon; Keun Ho Ryu (IEEE Access, 2023)