Youngduck Choi
Youngduck Choi
Co-founder and CEO, Togi
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Cited by
Cited by
Learning low-dimensional representations of medical concepts
Y Choi, CYI Chiu, D Sontag
AMIA Summits on Translational Science Proceedings 2016, 41, 2016
Electronic medical record phenotyping using the anchor and learn framework
Y Halpern, S Horng, Y Choi, D Sontag
Journal of the American Medical Informatics Association 23 (4), 731-740, 2016
Ednet: A large-scale hierarchical dataset in education
Y Choi, Y Lee, D Shin, J Cho, S Park, S Lee, J Baek, C Bae, B Kim, J Heo
Artificial Intelligence in Education: 21st International Conference, AIED …, 2020
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
Proceedings of the seventh ACM conference on learning@ scale, 341-344, 2020
Saint+: Integrating temporal features for ednet correctness prediction
D Shin, Y Shim, H Yu, S Lee, B Kim, Y Choi
LAK21: 11th International Learning Analytics and Knowledge Conference, 490-496, 2021
Using anchors to estimate clinical state without labeled data
Y Halpern, Y Choi, S Horng, D Sontag
AMIA Annual Symposium Proceedings 2014, 606, 2014
Auto-meta: Automated gradient based meta learner search
J Kim, S Lee, S Kim, M Cha, JK Lee, Y Choi, Y Choi, DY Cho, J Kim
arXiv preprint arXiv:1806.06927, 2018
A spectral regularizer for unsupervised disentanglement
A Ramesh, Y Choi, Y LeCun
arXiv preprint arXiv:1812.01161, 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
Early detection of diabetes from health claims
R Krishnan, N Razavian, Y Choi, S Nigam, S Blecker, A Schmidt, ...
Machine Learning in Healthcare Workshop, NIPS, 1-5, 2013
Assessment modeling: fundamental pre-training tasks for interactive educational systems
Y Choi, Y Lee, J Cho, J Baek, D Shin, H Yu, Y Shim, S Lee, J Shin, C Bae, ...
arXiv preprint arXiv:2002.05505, 2020
AI-driven interface design for intelligent tutoring system improves student engagement
B Kim, H Suh, J Heo, Y Choi
arXiv preprint arXiv:2009.08976, 2020
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
Choose your own question: Encouraging self-personalization in learning path construction
Y Choi, Y Na, Y Yoon, J Shin, C Bae, H Suh, B Kim, J Heo
arXiv preprint arXiv:2005.03818, 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
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
Consistency and monotonicity regularization for neural knowledge tracing
S Lee, Y Choi, J Park, B Kim, J Shin
arXiv preprint arXiv:2105.00607, 2021
Raw Produce Quality Detection with Shifted Window Self-Attention
OJ Kwon, B Kim, Y Choi
arXiv preprint arXiv:2112.13845, 2021
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction
B Kim, H Yu, D Shin, Y Choi
arXiv preprint arXiv:2107.04009, 2021
Method and device for providing training content using ai tutor
YD Choi, YA Sun, MS Noh, YJ Yoon, YH NA, KJ Kim, JW Heo, JE Baek, ...
US Patent App. 17/427,595, 2023
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