Sungroul Kim

According to our database, Sungroul Kim authored at least 4 papers between 2021 and 2026.

Collaborative distances:

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

2026

Tabular-To-Image Transformation for Transfer Learning on Heterogeneous Health Data.

Sung Ahn, Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Choon-Sik Park, Sungroul Kim

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

2025

Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications.

Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Siddheshwari Bankar, Sartaj Bhuvaji, Sungroul Kim, Choon-Sik Park

IEEE Access, 2025

2022

Forecasting the Effects of Real-Time Indoor PM2.5 on Peak Expiratory Flow Rates (PEFR) of Asthmatic Children in Korea: A Deep Learning Approach.

Jiyoung Woo, Ji-Hyun Lee, Yeonjin Kim, Guillaume Rudasingwa, Dae Hyun Lim, Sungroul Kim

IEEE Access, 2022

2021

A study of the effectiveness of transfer learning in individualized asthma risk prediction.

Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Sungroul Kim, Choon-Sik Park, Mark Chesney

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021