A two-stage forecasting model using random forest subset-based feature selection and BiGRU with attention mechanism: Application to stock indices.

Azman S, Pathmanathan D, Balakrishnan V

DOI: 10.1371/journal.pone.0323015
Published: 2025
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0323015,
  title = {A two-stage forecasting model using random forest subset-based feature selection and BiGRU with attention mechanism: Application to stock indices.},
  author = {Azman S and Pathmanathan D and Balakrishnan V},
  year = {2025},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0323015},
  url = {https://doi.org/10.1371/journal.pone.0323015}
}

RIS

TY  - JOUR
TI  - A two-stage forecasting model using random forest subset-based feature selection and BiGRU with attention mechanism: Application to stock indices.
AU  - Azman S
AU  - Pathmanathan D
AU  - Balakrishnan V
PY  - 2025
JO  - PloS one
DO  - 10.1371/journal.pone.0323015
UR  - https://doi.org/10.1371/journal.pone.0323015
ER  -

APA

S, A., D, P., & V, B. (2025). A two-stage forecasting model using random forest subset-based feature selection and BiGRU with attention mechanism: Application to stock indices.. PloS one. https://doi.org/10.1371/journal.pone.0323015

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pubmed · retrieved 2026-09-25T05:27:19.493Z