Category / Sungroh Yoon
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It
Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, Sungroh Yoon, in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, July 2023.
preprint link arXiv
Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency
Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune L. Gwon, Sungroh Yoon, in Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, July 2023.
preprint link arXiv
Deep learning-based prediction for significant coronary artery stenosis on coronary computed tomography angiography in asymptomatic populations
Heesun Lee, Bong Gyun Kang, Jeonghee Jo, Hyo Eun Park, Sungroh Yoon, Su-Yeon Choi, Min J. Kim, Frontiers in Cardiovascular Medicine, doi: 10.3389/fcvm.2023.1167468, June 2023.
paper link
Improving generalization performance of electrocardiogram classification models
Hyeongrok Han, Seongjae Park, Seonwoo Min, Eunji Kim, HyunGi Kim, Sangha Park, Jinkook Kim, Junsang Park, Junho An, Kwanglo Lee, Wonsun Jeong, Sangil Chon, Kwonwoo Ha, Myungkyu Han, Hyun-Soo Choi, Sungroh Yoon, Physiological Measurement, vol. 44, no. 5, page 054003, May 2023.
paper link
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images
Sang-gil Lee, Eunji Kim, Jae Seok Bae, Jung Hoon Kim, Sungroh Yoon, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 7, no. 2, pp. 319-329, April 2023.
paper link arXiv