Balancing sequential data to predict students at-risk using adversarial networks

Title
Balancing sequential data to predict students at-risk using adversarial networks
Authors
Keywords
Students At-Risk, CGAN, Class Imbalance, Sequential Data, Time-Series, Sythetic Minority Oversampling technique
Journal
COMPUTERS & ELECTRICAL ENGINEERING
Volume 93, Issue -, Pages 107274
Publisher
Elsevier BV
Online
2021-06-25
DOI
10.1016/j.compeleceng.2021.107274

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