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Youngnam Lee
Youngnam Lee
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An Algorithm Based on Deep Learning for Predicting In‐Hospital Cardiac Arrest
J Kwon*, Y Lee*, Y Lee, S Lee, J Park
Journal of the American Heart Association 7 (13), e008678, 2018
2732018
EdNet: A Large-Scale Hierarchical Dataset in Education
Y Choi, Y Lee, D Shin, J Cho, S Park, S Lee, J Baek, B Kim, Y Jang
arXiv preprint arXiv:1912.03072, 2019
2352019
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing
Y Choi, Y Lee, J Cho, J Baek, B Kim, Y Cha, D Shin, C Bae, J Heo
https://arxiv.org/abs/2002.07033, 2020
2212020
Validation of deep-learning-based triage and acuity score using a large national dataset
J Kwon*, Y Lee*, Y Lee, S Lee, H Park, J Park
PloS one 13 (10), e0205836, 2018
852018
-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items
J Lee, WS Hwang, J Parc, Y Lee, SW Kim, D Lee
IEEE transactions on knowledge and data engineering 31 (1), 3-16, 2017
412017
How to Impute Missing Ratings?: Claims, Solution, and Its Application to Collaborative Filtering
Y Lee, SW Kim, S Park, X Xie
Proceedings of the 2018 World Wide Web Conference, 783-792, 2018
372018
Deep Learning in the Medical Domain: Predicting Cardiac Arrest Using Deep Learning
Y Lee*, J Kwon*, Y Lee, H Park, H Cho, J Park
Acute and Critical Care 33 (3), 117-120, 2018
352018
Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess
Y Lee*, Y Choi*, J Cho, AR Fabbri, H Loh, C Hwang, Y Lee, SW Kim, ...
arXiv preprint arXiv:1906.10910, 2019
282019
Deep attentive study session dropout prediction in mobile learning environment
Y Lee, D Shin, HB Loh, J Lee, P Chae, J Cho, S Park, J Lee, J Baek, ...
arXiv preprint arXiv:2002.11624, 2020
152020
Assessment Modeling: Fundamental Pre-training Tasks for Interactive Educational Systems
Y Choi, Y Lee, J Cho, J Baek, D Shin, S Lee, Y Cha, B Kim, J Heo
https://arxiv.org/abs/2002.05505, 2020
152020
Recommendation for effective standardized exam preparation
H Loh, D Shin, S Lee, J Baek, C Hwang, Y Lee, Y Cha, S Kwon, J Park, ...
LAK21: 11th International Learning Analytics and Knowledge Conference, 397-404, 2021
52021
Prescribing deep attentive score prediction attracts improved student engagement
Y Lee, B Kim, D Shin, JH Kim, J Baek, J Lee, Y Choi
arXiv preprint arXiv:2005.05021, 2020
52020
System for Predicting User Drop-Out Rate and Tracking User Knowledge Based on Artificial Intelligence Learning and Method Therefor
YN Lee, D min Shin, HB Loh, JM Lee, PJ Chae, JH Cho, SY Park, JH Lee, ...
US Patent App. 17/435,698, 2022
2022
Learning content recommendation system based on artificial intelligence learning and operating method thereof
YN Lee, YD Choi, JH Cho, HB Loh, CY Hwang, YK Lee
US Patent App. 17/343,735, 2022
2022
Special Section on the International Conference on Data Engineering 2016
M Hsu, A Kemper, T Sellis
IEEE Transactions on Knowledge & Data Engineering 31 (01), 1-2, 2019
2019
Analysis of Data Imputation in Recommender Systems
Y Lee, SW Kim
Journal of KIISE 44 (12), 1333-1337, 2017
2017
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