九州大学 大学院システム情報科学研究院 情報知能工学部門 イメージ・メディア理解研究室

国際会議 (査読有)

1. Shuaileng Yuan, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada
   A Deep learning Grade Prediction Model of Online Learning Performance Based on knowledge learning representation
   The 6th Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK24 Data Challenge), 2024.03
   BibTeX
2. Abdul Berr, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada
   Educational Data Analysis using Generative AI
   The 6th Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK24 Data Challenge), 2024.03
   BibTeX
3. Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada
   LSTM with Attention Mechanism for Students’ Performance Prediction Based on Reading Behavior
   The 5th Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK23 Data Challenge), 2023.03
   BibTeX
4. Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada
   Scaled-Dot Product Attention for Early Detection of At-Risk Students
   IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE2022), pp.316-322, 2022.12
   BibTeX
5. Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
   Predicting student performance based on Lecture Materials data using Neural Network Models
   The 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK22 Data Challenge), 2022.03
   BibTeX