| 2025 | A framework for tool wear and remaining useful life prediction in machining process using monitoring data and machine learning | 김동일 | Article |
| 2018 | A learning-based data-driven forecast approach for predicting future reservoir performance | 민배현 | Article |
| 2026 | A scalable framework for population-level precision health: Insights from sleep disorders | 김동엽 | Article |
| 2026 | A systematic review of machine learning in aqueous pollutant adsorption, from prediction to mechanistic interpretation and adsorbent design☆ | 윤여민 | Review |
| 2015 | A user customized service provider framework based on machine learning | 박형곤 | Conference Paper |
| 2024 | Advancing programmable metamaterials through machine learning-driven buckling strength optimization | 이상륜 | Review |
| 2021 | Article machine learning approaches to predict hepatotoxicity risk in patients receiving nilotinib | 곽혜선 | Article |
| 2026 | Bi-dimensional health space mapping: machine learning analysis of population health dynamics in Korean and Dutch cohorts | 권오란; 김유진 | Article |
| 2026 | Biologically-inspired emotional processing for adaptive decision-making in non-stationary environments | 강대훈 | Article |
| 2024 | Building an XGBoost model based on landscape metrics and meteorological data for nonpoint source pollution management in the Nakdong river watershed | 최정현 | Article |
| 2023 | Conceptual framework of hybrid style in fashion image datasets for machine learning | 박민정 | Article |
| 2022 | Cucumber Leaf Diseases Recognition Using Multi Level Deep Entropy-ELM Feature Selection | 용환승 | Article |
| 2024 | Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage | 민배현 | Article |
| 2024 | Deep learning of sleep apnea-hypopnea events for accurate classification of obstructive sleep apnea and determination of clinical severity | 김동엽 | Article |
| 2017 | Design of low complexity human anxiety classification model based on machine learning | 박형곤 | Article |
| 2022 | Development of an Automatic Interpretation Algorithm for Uroflowmetry Results: Application of Artificial Intelligence | 류호영 | Article |
| 2020 | Diffusion tensor imaging radiomics in lower-grade glioma: improving subtyping of isocitrate dehydrogenase mutation status | 박예원 | Article |
| 2025 | Discernability of the vertical vortex structure of pre-existing disturbances and their implication for tropical cyclone formation | Hung Ming Cheung | Article |
| 2024 | Dissecting transcriptome signals of anti-PD-1 response in lung adenocarcinoma | 이상혁; 김재상 | Article |
| 2022 | DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification | 양대헌 | Article |
| 2019 | Dropout early warning systems for high school students using machine learning | 정제영; 이선복 | Article |
| 2026 | Early prediction of liver metastasis in pancreatic cancer using routine clinical data: an externally validated machine learning model | 금지영 | Article |
| 2025 | EEG-based detection of early functional brain changes in subjective cognitive decline: a prospective cohort study | 정지향 | Article |
| 2026 | Enhanced prediction of total organic carbon in a large complex watershed (the Han River, South Korea) by integrating machine learning with real-time in-situ water quality parameters and fluorescence intensities | 최정현 | Article |
| 2025 | Enhancing Identification of High-Risk cN0 Lung Adenocarcinoma Patients Using MRI-Based Radiomic Features | 신수민 | Article |
| 2024 | Enhancing machine learning models for total organic carbon prediction by integrating geospatial parameters in river watersheds | 최정현 | Article |
| 2026 | Evaluation of beef quality using machine learning based on the CIELAB color space | 도한솔 | Article |
| 2023 | Evaluation of secondary effluent organic matter removal by an in-series forward osmosis-ultrafiltration hybrid process using parallel factor analysis with self-organizing maps | 윤여민 | Article |
| 2017 | Evolving neural network intrusion detection system for MCPS | 채기준; 도인실 | Conference Paper |
| 2023 | Extreme gradient boosting-inspired process optimization algorithm for manufacturing engineering applications | 이태용; Luca Quagliato | Article |
