| 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 | 243 | 2018 |
| 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 | 186 | 2019 |
| 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 | 157 | 2020 |
| 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 | 75 | 2018 |
| -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 | 38 | 2017 |
| 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 | 36 | 2018 |
| 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 | 31 | 2018 |
| 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 | 24 | 2019 |
| 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 | 13 | 2020 |
| 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 | 13 | 2020 |
| 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 | 4 | 2020 |
| 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 | 3 | 2021 |
| 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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