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ORCIDSukrit Leelaluk
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2020 – today
- 2024
[j1]Sukrit Leelaluk
, Cheng Tang, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada:
Attention-Based Artificial Neural Network for Student Performance Prediction Based on Learning Activities. IEEE Access 12: 100659-100675 (2024)- [c4]Abdul Berr, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada:
Educational Data Analysis using Generative AI. LAK Workshops 2024: 47-55 - [c3]Shuaileng Yuan, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada:
Educational Data Analysis using Generative AI. LAK Workshops 2024: 73-82 - 2022
- [c2]Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada:
Predicting Student Performance based on Lecture Materials Data using Neural Network Models. LAK (Data Challenge) 2022: 11-20 - [c1]Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada:
Scaled-Dot Product Attention for Early Detection of At-risk Students. TALE 2022: 316-322
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