Jung-Gu Choi

According to our database, Jung-Gu Choi authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, May, 2025

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

2024

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

2023

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

2022

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

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 Framework for Multi-Level Classification of Company Revenue.

Jung-Gu Choi, Inhwan Ko, Jeong-Jae Kim, Yeseul Jeon, Sanghoon Han

IEEE Access, 2021

Depression Level Classification Using Machine Learning Classifiers Based on Actigraphy Data.

Jung-Gu Choi, Inhwan Ko, Sanghoon Han

IEEE Access, 2021