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

Authors

Dharini Pathmanathan (ORCID: https://orcid.org/0000-0002-3279-4031)
Vimala Balakrishnan (ORCID: https://orcid.org/0000-0002-6859-4488)
Shafiqah Azman (ORCID: https://orcid.org/0000-0003-4795-9668)

Publication Details

Journal: PLoS ONE
Published: 2026-03-13
DOI: https://doi.org/10.1371/journal.pone.0345034
Primary Topic: Stock Market Forecasting Methods
Type: article
Field-Weighted Citation Impact: 0.00

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article

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

Dharini Pathmanathan, Vimala Balakrishnan, Shafiqah Azman

Mar 13, 2026

PLoS ONE

Stock Market Forecasting Methods

article

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

Dharini Pathmanathan, Vimala Balakrishnan, Shafiqah Azman

March 13, 2026article en

Abstract

No abstract available for this paper.

PLoS ONEVol. 21(3)

Openalex Percentile: Top 27%

Stock Market Forecasting Methods

DOI Open Access PDF OpenAlex

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Correction: A two-stage forecasting model using random forest subset-based feature selection and BiGRU with attention mechanism: Application to stock indices — Dharini Pathmanathan, Vimala Balakrishnan, et al. · PLoS ONE (2026) | TGRS Research Map | TGRS