Effectiveness of data augmentation to predict students at risk using deep learning algorithms

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Fahd, Kiran and Miah, Shah Jahan ORCID: 0000-0002-3783-8769 (2023) Effectiveness of data augmentation to predict students at risk using deep learning algorithms. Social Network Analysis and Mining, 13 (1). ISSN 1869-5450 (print) 1869-5469 (online)

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/48049
DOI 10.1007/s13278-023-01117-5
Official URL https://link.springer.com/article/10.1007/s13278-0...
Subjects Current > FOR (2020) Classification > 3903 Education systems
Current > FOR (2020) Classification > 4611 Machine learning
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords deep learning; data augmentation; multilayer perceptron; deep forest; SMOTE; distribution based algorithm
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