Depression Level Classification Using Machine Learning Classifiers Based on Actigraphy Data. - Jung-Gu Choi; Inhwan Ko; Sanghoon Han (IEEE Access, 2021)

Machine Learning Framework for Multi-Level Classification of Company Revenue. - Jung-Gu Choi; Inhwan Ko; Jeong-Jae Kim; Yeseul Jeon; Sanghoon Han (IEEE Access, 2021)

Deep Learning Approach to Generate a Synthetic Cognitive Psychology Behavioral Dataset. - Jung-Gu Choi; Yoonjin Nah; Inhwan Ko; Sanghoon Han (IEEE Access, 2021)

Machine Learning Approach for Classifying College Scholastic Ability Test Levels With Unsupervised Features From Prefrontal Functional Near-Infrared Spectroscopy Signals. - Jung-Gu Choi; Inhwan Ko; Yoonjin Nah; Bora Kim; Yongwan Park; Jihyun Cha; Jongkwan Choi; Sanghoon Han (IEEE Access, 2022)

Investigation of factors regarding the effects of COVID-19 pandemic on college students' depression by quantum annealer. - Jung-Gu Choi; Kion Kim; Soohyun Park; Juyoen Hur; Hyunjung Yang; Younghoon Kim; Hakbae Lee; Sanghoon Han (CoRR, 2023)

Association between Prefrontal fNIRS signals during Cognitive tasks and College scholastic ability test (CSAT) scores: Analysis using a quantum annealing approach. - Yeaju Kim; Jung-Gu Choi; Bora Kim; Yongwan Park; Jihyun Cha; Jongkwan Choi; Sanghoon Han (CoRR, 2024)

Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series. - Junggu Choi; Tak Hur; Daniel K. Park; Na-Young Shin; Seung-Koo Lee; Hakbae Lee; Sanghoon Han (Knowl. Based Syst., 2025)

Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients? - Junggu Choi; Chansu Yu; Kyle L. Jung; Suan-Sin Foo; Weiqiang Chen; Suzy Comhair; Serpil Erzurum; Lara Jehi; Jae U. Jung (CoRR, 2025)