フォロー
Eunjung Lee
Eunjung Lee
Assistant Professor, Mayo Clinic
確認したメール アドレス: mayo.edu - ホームページ
タイトル
引用先
引用先
Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks
H Cho, Y Kim, E Lee, D Choi, Y Lee, W Rhee
IEEE Access 8, 52588-52608, 2020
1622020
Churn prediction of mobile and online casual games using play log data
S Kim, D Choi, E Lee, W Rhee
PloS one 12 (7), e0180735, 2017
872017
The ENERTALK dataset, 15 Hz electricity consumption data from 22 houses in Korea
C Shin, E Lee, J Han, J Yim, W Rhee, H Lee
Scientific data 6 (1), 193, 2019
752019
Individualized Short-Term Electric Load Forecasting With Deep Neural Network Based Transfer Learning and Meta Learning
E Lee, W Rhee
IEEE Access 9, 15413-15425, 2021
392021
Defining virtual control group to improve customer baseline load calculation of residential demand response
E Lee, K Lee, H Lee, E Kim, W Rhee
Applied Energy 250, 946-958, 2019
292019
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
122021
Aid-purifier: A light auxiliary network for boosting adversarial defense
D Hwang, E Lee, W Rhee
Neurocomputing 541, 126251, 2023
92023
Improving the Energy Saving Process with High-Resolution Data: A Case Study in a University Building
J Han, E Lee, H Cho, Y Yoon, H Lee, W Rhee
Sensors 18 (5), 1606, 2018
72018
Prevalence and incidence of diastolic dysfunction in atrial fibrillation: clinical implications
JA Naser, E Lee, CG Scott, AM Kennedy, PA Pellikka, G Lin, SV Pislaru, ...
European Heart Journal 44 (48), 5049-5060, 2023
62023
Assuring explainability on demand response targeting via credit scoring
K Lee, H Lee, H Lee, Y Yoon, E Lee, W Rhee
Energy 161, 670-679, 2018
62018
Incidence, risk factors, and outcomes of atrial functional mitral regurgitation in patients with atrial fibrillation or sinus rhythm
JA Naser, HI Michelena, G Lin, CG Scott, E Lee, AM Kennedy, ...
European Heart Journal-Cardiovascular Imaging 24 (11), 1450-1457, 2023
52023
Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure
E Lee, S Ito, WR Miranda, F Lopez-Jimenez, GC Kane, SJ Asirvatham, ...
npj Digital Medicine 7 (1), 4, 2024
42024
Correlation between artificial intelligence-enabled electrocardiogram and echocardiographic features in aortic stenosis
S Ito, M Cohen-Shelly, ZI Attia, E Lee, PA Friedman, VT Nkomo, ...
European Heart Journal-Digital Health 4 (3), 196-206, 2023
42023
DEEP-BO for Hyperparameter Optimization of Deep Networks
H Cho, Y Kim, E Lee, D Choi, Y Lee, W Rhee
arXiv preprint arXiv:1905.09680, 2019
32019
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
22023
소규모 전력 소비자 대상 수요자원 거래시장의 필요성 및 시범운영 결과 분석
이은정, 이경은, 이혜수, 이효섭, 김은철, 이원종
한국통신학회논문지 42 (4), 915-922, 2017
22017
PO-03-025 AN ARTIFICIAL INTELLIGENCE-ENABLED ELECTROCARDIOGRAM TO EVALUATE PATIENTS WITH DYSPNEA IN THE EMERGENCY DEPARTMENT
HT Yu, E Lee, MA Abbasi, SB Wopperer, G Tsaban, KF Kopecky, ZI Attia, ...
Heart Rhythm 21 (5), S416-S417, 2024
2024
Artificial intelligence-based classification of echocardiographic views
JA Naser, E Lee, SV Pislaru, G Tsaban, JG Malins, JI Jackson, ...
European Heart Journal-Digital Health 5 (3), 260-269, 2024
2024
ARTIFICIAL INTELLIGENCE-ENHANCED ELECTROCARDIOGRAPHY IDENTIFIES PATIENTS WITH NORMAL EJECTION FRACTION AT RISK OF WORSE OUTCOMES
JA Naser, E Lee, F Lopez-Jimenez, P Noseworthy, O Latif, PA Friedman, ...
Journal of the American College of Cardiology 83 (13_Supplement), 2572-2572, 2024
2024
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
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
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