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Machine learning techniques in bankruptcy prediction: A systematic literature review · Study

ReviewMachine learning techniques in bankruptcy prediction: A systematic literature review

Απόστολος Δασίλας2024

Review2024

Machine learning techniques in bankruptcy prediction: A systematic literature review

Απόστολος Δασίλας · Anna Rigani

62 citations·0/0 files stored·Expert Systems with Applications

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Financial Distress and Bankruptcy Prediction Corporate Insolvency and Governance Forecasting Techniques and Applications

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References

2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews 2020The PRISMA 2020 statement: an updated guideline for reporting systematic reviews 2017Machine learning models and bankruptcy prediction 2018Deep learning models for bankruptcy prediction using textual disclosures 2022Artificial intelligence and machine learning in finance: A bibliometric review 2016Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction 2016Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study 2021CatBoost model and artificial intelligence techniques for corporate failure prediction

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Details

Year2024

Typereview

Published2024-07-14

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations62

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.eswa.2024.124761

openalex_workW4400618090

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