E-Learning Benchmarking in Higher Education: Methodology Literature Review. - Thao-Trang Huynh-Cam; Somya Agrawal; Long-Sheng Chen; Quoc-Anh Nguyen (ICEMT, 2021)

Using Random Forests and Decision Trees to Predict Viewing Game Live Streaming via Viewers' Comments. - Thao-Trang Huynh-Cam; Zi-Jie Luo; Long-Sheng Chen (TAAI, 2021)

Using Decision Trees and Random Forest Algorithms to Predict and Determine Factors Contributing to First-Year University Students' Learning Performance. - Thao-Trang Huynh-Cam; Long-Sheng Chen; Huynh Le (Algorithms, 2021)

Learning Performance of International Students and Students with Disabilities: Early Prediction and Feature Selection through Educational Data Mining. - Thao-Trang Huynh-Cam; Long-Sheng Chen; Khai-Vinh Huynh (Big Data Cogn. Comput., 2022)

IS-DT: A New Feature Selection Method for Determining the Important Features in Programmatic Buying. - Thao-Trang Huynh-Cam; Venkateswarlu Nalluri; Long-Sheng Chen; Yi-Yi Yang (Big Data Cogn. Comput., 2022)

Identifying Crucial Factors for E-students' Satisfaction in Vietnamese Emengency Remote Learning Using Machine Learning Methods. - Thao-Trang Huynh-Cam; Long-Sheng Chen; Thong Van Ho; De Van Nguyen; Tzu-Chuen Lu (iCAST, 2023)

The evaluation of students' satisfaction with instructor performance having major key factors: the case of a Vietnamese university. - Thao-Trang Huynh-Cam; Vimal Kumar; Van-Canh Nguyen; Bich-Van Le-Thi; Huynh Le (Int. J. Knowl. Learn., 2024)