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 Oct 24
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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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 = {Gu J},
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 - Gu J PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-20779-z UR - https://doi.org/10.1038/s41598-025-20779-z ER -
APA
J, G. (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
- pubmed · retrieved 2026-09-26T02:33:33.194Z