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Kwanhyung Lee
Kwanhyung Lee
B.S. & M.S. Texas A&M University
Verified email at aitrics.com
Title
Cited by
Cited by
Year
Advantage of Vital Sign Monitoring Using a Wireless Wearable Device for Predicting Septic Shock in Febrile Patients in the Emergency Department: A Machine Learning-Based Analysis
A Choi, K Chung, SP Chung, K Lee, H Hyun, JH Kim
Sensors 2022, https://doi.org/10.3390/s22187054, 2022
162022
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting
K Lee, H Jeong, S Kim, D Yang, HC Kang, E Choi
Conference on Health, Inference, and Learning (CHIL) 2022, 311-337, PMLR 174 …, 2022
132022
Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention
K Lee, S Lee, S Hahn, H Hyun, E Choi, B Ahn, J Lee
arXiv preprint arXiv:2305.02504 (MLHC 2023) (Spotlight Paper), 2023
22023
Self-supervised predictive coding and multimodal fusion advance patient deterioration prediction in fine-grained time resolution
K Lee, J Won, H Hyun, S Hahn, E Choi, J Lee
ICLR 2023 Workshop, TML4H (Best Paper Award) (Oral), 2022
12022
Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image Classification
J Lee, H Nam, K Lee, S Hahn
arXiv preprint arXiv:2402.10595, 2024
2024
Experimental validation of theoretical method for prediction of acoustic streaming around a resonantly-excited cancer cell
K Lee, S Yigit, A Han, D Kim, YJ Kim
INTER-NOISE and NOISE-CON Congress and Conference Proceedings 255 (2), 5825-5834, 2017
2017
Active noise control of rocket engine noise in an engine test facility for quiet nearby communities
K Lee, YJ Kim
The Journal of the Acoustical Society of America 138 (3_Supplement), 1732-1732, 2015
2015
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Articles 1–7