| Improving bi-encoder document ranking models with two rankers and multi-teacher distillation J Choi, E Jung, J Suh, W Rhee Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 25 | 2021 |
| Learning ECG representations for multi-label classification of cardiac abnormalities J Suh, J Kim, E Lee, J Kim, D Hwang, J Park, J Lee, J Park, SY Moon, ... 2021 Computing in Cardiology (CinC) 48, 1-4, 2021 | 13 | 2021 |
| Machine learning prediction for the recurrence after electrical cardioversion of patients with persistent atrial fibrillation S Kwon, E Lee, H Ju, HJ Ahn, SR Lee, EK Choi, J Suh, S Oh, W Rhee Korean Circulation Journal 53 (10), 677, 2023 | 2 | 2023 |
| Evaluating Feature Attribution Methods for Electrocardiogram J Suh, J Kim, E Jung, W Rhee arXiv preprint arXiv:2211.12702, 2022 | 1 | 2022 |
| Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing J Kim, D Hwang, E Lee, J Suh, J Kim, W Rhee arXiv preprint arXiv:2401.05730, 2024 | | 2024 |
| AI-ASSISTED SHORT-TERM FORECASTING OF IMPENDING ATRIAL FIBRILLATION EPISODES USING A WEARABLE ECG PATCH S Kwon, J Suh, J Ko, HJ Ahn, SR Lee, W Rhee, EK Choi, S Oh Cardiovascular Digital Health Journal 4 (5), S6, 2023 | | 2023 |
| PO-05-229 DEEP LEARNING CLASSIFICATION OF PAROXYSMAL SUPRAVENTRICULAR TACHYCARDIA TYPES USING SINUS RHYTHM ELECTROCARDIOGRAMS S Kwon, J Suh, J Kim, H Ju, HJ Ahn, S Kim, SR Lee, W Rhee, EK Choi, ... Heart Rhythm 20 (5), S680-S681, 2023 | | 2023 |
| Classification of Underlying Paroxysmal Supraventricular Tachycardia Types Using Deep Learning of Sinus Rhythm Electrocardiograms S Kwon, J Suh, EK Choi, J Kim, H Ju, HJ Ahn, S Kim, SR Lee, S Oh, ... Available at SSRN 4320805, 0 | | |
