Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection
- DOI
- 10.1038/s41598-025-20779-z
- Published
- 2025-10-24
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-20779-z,
title = {Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection},
author = {Jiawei Gu},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-20779-z},
url = {https://doi.org/10.1038/s41598-025-20779-z}
}RIS
TY - JOUR TI - Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection AU - Jiawei Gu PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-20779-z UR - https://doi.org/10.1038/s41598-025-20779-z ER -
APA
Gu, J. (2025). Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection. Scientific Reports. https://doi.org/10.1038/s41598-025-20779-z
Source records
- crossref · retrieved 2026-11-10T14:56:19.978Z