Chen Lin

Deep Learning vs. Bayesian Knowledge Tracing: Student Models for Interventions

Min Chi, Ye Mao, Min Chi, 2018 .

Going deeper: Automatic short-answer grading by combining student and question models

Min Chi, Y. Zhang, Chen Lin, 2020, User Modeling and User-Adapted Interaction.

Early Diagnosis and Prediction of Sepsis Shock by Combining Static and Dynamic Information Using Convolutional-LSTM

Chen Lin, Yuan Zhang, Min Chi, 2018, 2018 IEEE International Conference on Healthcare Informatics (ICHI).

LSTM for septic shock: Adding unreliable labels to reliable predictions

Chen Lin, Yuan Zhang, Min Chi, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Intervention-BKT: Incorporating Instructional Interventions into Bayesian Knowledge Tracing

Chen Lin, Min Chi, Min Chi, 2016, ITS.

A Comparisons of BKT, RNN and LSTM for Learning Gain Prediction

Chen Lin, Min Chi, Min Chi, 2017, AIED.

Going deeper: Automatic short-answer grading by combining student and question models

Min Chi, Y. Zhang, Chen Lin, 2020, User modeling and user-adapted interaction.

On The Development of a Legal Penalty Prediction System for Drunk Driving Cases

Chen Lin, Meng-Luen Wu, Po-Cheng Yu, 2022, 2022 International Conference on Machine Learning and Cybernetics (ICMLC).

Going deeper: Automatic short-answer grading by combining student and question models

Chen Lin, Yuan Zhang, Min Chi, 2020, User Modeling and User-Adapted Interaction.