| 2019 | A learning-based material decomposition pipeline for multi-energy x-ray imaging | 최장환 | Article |
| 2022 | A Novel Synthetic Antibody Library with Complementarity-Determining Region Diversities Designed for an Improved Amplification Profile | 심현보 | Article |
| 2017 | A pupil data based classification model for education learning states | 박형곤 | Conference Paper |
| 2022 | A Risk Scoring System Utilizing Machine Learning Methods for Hepatotoxicity Prediction One Year After the Initiation of Tyrosine Kinase Inhibitors | 곽혜선; 이정 | Article |
| 2023 | A Short-Term Forecasting of Wind Power Outputs Based on Gradient Boosting Regression Tree Algorithms | 허진 | Article |
| 2023 | Age-integrated artificial intelligence framework for sleep stage classification and obstructive sleep apnea screening | 이향운; 안소라; 황성은 | Article |
| 2019 | An Integrative Data Mining and Omics-Based Translational Model for the Identification and Validation of Oncogenic Biomarkers of Pancreatic Cancer | 이상혁 | Article |
| 2022 | An Interactive Online App for Predicting Diabetes via Machine Learning from Environment-Polluting Chemical Exposure Data | 오만숙 | Article |
| 2020 | Application of Machine Learning Methods in Nursing Home Research | 신주현; 이지연 | Article |
| 2023 | Cancer Prediction With Machine Learning of Thrombi From Thrombectomy in Stroke: Multicenter Development and Validation | 송태진; 장윤경 | Article |
| 2019 | Cascaded Wx: A Novel Prognosis-Related Feature Selection Framework in Human Lung Adenocarcinoma Transcriptomes | 안영호 | Article |
| 2023 | Characteristics of perivascular space dilatation in normal aging | 박창현 | Article |
| 2023 | Characterization of Memory Access in Deep Learning and Its Implications in Memory Management | 반효경 | Article |
| 2020 | Clinical Implication of Machine Learning in Predicting the Occurrence of Cardiovascular Disease Using Big Data (Nationwide Cohort Data in Korea) | 박준범 | Article |
| 2023 | Clustering and prediction of long-term functional recovery patterns in first-time stroke patients | 안정훈 | Article |
| 2023 | Counter-Rotating Hoop Stabilizer and SVR Control for Two-Wheels Vehicle Applications | 이태용; Luca Quagliato | Article |
| 2023 | Detecting amyloid-β positivity using regions of interest from structural magnetic resonance imaging | 정지향; 윤혜전; 박희경 | Article |
| 2023 | Detection of Vulnerabilities by Incorrect Use of Variable Using Machine Learning | 최병주; 박지현 | Article |
| 2022 | Differentiation of Geographical Origin of White and Brown Rice Samples Using NMR Spectroscopy Coupled with Machine Learning Techniques | 김영석 | Article |
| 2021 | Efficient Bayesian inference using adversarial machine learning and low-complexity surrogate models | 나종걸 | Article |
| 2016 | Efficient Residual DPCM Using an l(1) Robust Linear Prediction in Screen Content Video Coding | 강제원 | Article |
| 2018 | Evolution of In Silico Strategies for Protein-Protein Interaction Drug Discovery | 최선; 강수성 | Review |
| 2021 | Gene Polymorphisms of the Renin-Angiotensin System and Bleeding Complications of Warfarin: Genetic-Based Machine Learning Models | 곽혜선 | Article |
| 2021 | Identification of Major Psychiatric Disorders From Resting-State Electroencephalography Using a Machine Learning Approach | 이동환 | Article |
| 2020 | Identification of Novel microRNA Prognostic Markers Using Cascaded Wx, a Neural Network-Based Framework, in Lung Adenocarcinoma Patients | 안영호 | Article |
| 2021 | Identifying the Risk Factors Associated with Nursing Home Residents' Pressure Ulcers Using Machine Learning Methods | 신주현 | Article |
| 2024 | Imputing missing sleep data from wearables with neural networks in real-world settings | 김지현 | Article |
| 2023 | Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance Evaluation | 이상화; 김진우 | Article |
| 2020 | Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry | 신상훈 | Article |
| 2023 | Machine learning models for predicting depression in Korean young employees | 김석선 | Article |
