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Youngduck Choi
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2020 – today
- 2021
- [c9]Byungsoo Kim, Hangyeol Yu, Dongmin Shin, Youngduck Choi:
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction. EDM 2021 - [c8]Hyunbin Loh, Dongmin Shin, Seewoo Lee, Jineon Baek
, Chanyou Hwang, Youngnam Lee, Yeongmin Cha, Soonwoo Kwon, Juneyoung Park
Recommendation for Effective Standardized Exam Preparation. LAK 2021: 397-404 - [c7]Dongmin Shin, Yugeun Shim, Hangyeol Yu, Seewoo Lee, Byungsoo Kim, Youngduck Choi:
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction. LAK 2021: 490-496 - [i14]Seewoo Lee, Youngduck Choi, Juneyoung Park, Byungsoo Kim, Jinwoo Shin:
Consistency and Monotonicity Regularization for Neural Knowledge Tracing. CoRR abs/2105.00607 (2021) - [i13]Byungsoo Kim, Hangyeol Yu, Dongmin Shin, Youngduck Choi:
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction. CoRR abs/2107.04009 (2021) - [i12]Oh Joon Kwon, Byungsoo Kim, Youngduck Choi:
Raw Produce Quality Detection with Shifted Window Self-Attention. CoRR abs/2112.13845 (2021) - 2020
- [c6]Youngduck Choi, Youngnam Lee, Dongmin Shin, Junghyun Cho, Seoyon Park, Seewoo Lee, Jineon Baek
EdNet: A Large-Scale Hierarchical Dataset in Education. AIED (2) 2020: 69-73 - [c5]Youngnam Lee, Dongmin Shin, Hyunbin Loh, Jaemin Lee, Piljae Chae, Junghyun Cho, Seoyon Park, Jinhwan Lee, Jineon Baek, Byungsoo Kim, Youngduck Choi:
Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment. CSEDU (1) 2020: 26-35 - [c4]Youngnam Lee, Byungsoo Kim, Dongmin Shin, JungHoon Kim, Jineon Baek, Jinhwan Lee, Youngduck Choi:
Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement. EDM 2020 - [c3]Youngduck Choi, Youngnam Lee, Junghyun Cho, Jineon Baek
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing. L@S 2020: 341-344 - [i11]Youngduck Choi, Youngnam Lee, Junghyun Cho, Jineon Baek, Dongmin Shin, Seewoo Lee, Youngmin Cha, Byungsoo Kim, Jaewe Heo:
Assessment Modeling: Fundamental Pre-training Tasks for Interactive Educational Systems. CoRR abs/2002.05505 (2020) - [i10]Youngduck Choi, Youngnam Lee, Junghyun Cho, Jineon Baek, Byungsoo Kim, Yeongmin Cha, Dongmin Shin, Chan Bae, Jaewe Heo:
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing. CoRR abs/2002.07033 (2020) - [i9]Youngnam Lee, Dongmin Shin, Hyunbin Loh, Jaemin Lee, Piljae Chae, Junghyun Cho, Seoyon Park, Jinhwan Lee, Jineon Baek, Byungsoo Kim, Youngduck Choi:
Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment. CoRR abs/2002.11624 (2020) - [i8]Youngduck Choi, Yoonho Na, Youngjik Yoon, Jonghun Shin, Chan Bae, Hongseok Suh, Byungsoo Kim, Jaewe Heo:
Choose Your Own Question: Encouraging Self-Personalization in Learning Path Construction. CoRR abs/2005.03818 (2020) - [i7]Youngnam Lee, Byungsoo Kim, Dongmin Shin, JungHoon Kim, Jineon Baek, Jinhwan Lee, Youngduck Choi:
Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement. CoRR abs/2005.05021 (2020) - [i6]Byungsoo Kim, Hongseok Suh, Jaewe Heo, Youngduck Choi:
AI-Driven Interface Design for Intelligent Tutoring System Improves Student Engagement. CoRR abs/2009.08976 (2020) - [i5]Dongmin Shin, Yugeun Shim, Hangyeol Yu, Seewoo Lee, Byungsoo Kim, Youngduck Choi:
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction. CoRR abs/2010.12042 (2020)
2010 – 2019
- 2019
- [i4]Youngnam Lee, Youngduck Choi, Junghyun Cho, Alexander R. Fabbri, Hyunbin Loh, Chanyou Hwang, Yongku Lee, Sang-Wook Kim, Dragomir R. Radev:
Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess. CoRR abs/1906.10910 (2019) - [i3]Youngduck Choi, Youngnam Lee, Dongmin Shin, Junghyun Cho, Seoyon Park, Seewoo Lee, Jineon Baek, Byungsoo Kim, Youngjun Jang:
EdNet: A Large-Scale Hierarchical Dataset in Education. CoRR abs/1912.03072 (2019) - 2018
- [i2]Jaehong Kim, Youngduck Choi, Moonsu Cha, Jung Kwon Lee, Sangyeul Lee, Sungwan Kim, Yongseok Choi, Jiwon Kim:
Auto-Meta: Automated Gradient Based Meta Learner Search. CoRR abs/1806.06927 (2018) - [i1]Aditya Ramesh, Youngduck Choi, Yann LeCun:
A Spectral Regularizer for Unsupervised Disentanglement. CoRR abs/1812.01161 (2018) - 2016
- [j1]Yoni Halpern, Steven Horng, Youngduck Choi, David A. Sontag:
Electronic medical record phenotyping using the anchor and learn framework. J. Am. Medical Informatics Assoc. 23(4): 731-740 (2016) - [c2]Youngduck Choi, Chill Yi-I Chiu, David A. Sontag:
Learning Low-Dimensional Representations of Medical Concepts. CRI 2016 - 2014
- [c1]Yoni Halpern, Youngduck Choi, Steven Horng, David A. Sontag:
Using Anchors to Estimate Clinical State without Labeled Data. AMIA 2014
Coauthor Index
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