Ikkei Igawa, Yuta Taniguchi, Tsubasa Minematsu, Fumiya Okubo, Atsushi Shimada. Investigating Programming Performance Predictability from Embedding Vectors of Coding Behaviors. 31st International Conference on Computers in Education, ICCE 2023 - Proceedings. 2023. 1. 487-489
Ryusuke Murata, Fumiya Okubo, Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada. Recurrent Neural Network-FitNets: Improving Early Prediction of Student Performanceby Time-Series Knowledge Distillation. Journal of Educational Computing Research. 2023. 61. 3. 639-670
Chenhao Li, Yuta Taniguchi, Min Lu, Shin’ichi Konomi, Hajime Nagahara. Cross-language font style transfer. Applied Intelligence. 2023
Fumiya Okubo, Tetsuya Shiino, Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada. Adaptive Learning Support System Based on Automatic Recommendation of Personalized Review Materials. IEEE Transactions on Learning Technologies. 2023. 16. 1. 92-105
Erwin D. López Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada. LECTOR: An attention-based model to quantify e-book lecture slides and topics relationships. EDM. 2023
Course Recommendation for University Environment
(The 13th International Conference on Educational Data Mining 2020)
Examining Language-agnostic Methods of Automatic Coding in the Community of Inquiry Framework
(The 16th International Conference on Cognition and Exploratory Learning in Digital Age 2019)
K-Tips: Knowledge Extension Based on Tailor-made Information Provision System
(The 16th International Conference on Cognition and Exploratory Learning in Digital Age 2019)
Toward Automatic Identification of Dataset Names in Scholarly Articles
(The 8th International Conference on Data Science and Institutional Research 2019)
Optimizing Assignment of Students to Courses based on Learning Activity Analytics
(The 12th International Conference on Educational Data Mining 2019)
