Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

A genetic algorithm-based approach to cost-sensitive bankruptcy prediction

9 references·14 citing·46 second hop

FromToDepth

this work references cited by second hop

References

2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
2000Neural network credit scoring models1,032 cited
2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines389 cited
2005Hybrid genetic algorithms and support vector machines for bankruptcy prediction377 cited
2008Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey286 cited
2009Ensemble with neural networks for bankruptcy prediction266 cited
2009A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance: For bankruptcy prediction116 cited
2006Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization97 cited
1992THE SENSITIVITY OF OPTIMAL CUTOFF POINTS TO MISCLASSIFICATION COSTS OF TYPE I AND TYPE II ERRORS IN THE GOING‐CONCERN PREDICTION CONTEXT74 cited

Cited by

2019Machine learning models and cost-sensitive decision trees for bond rating prediction66 cited
2021A Machine Learning-based DSS for mid and long-term company crisis prediction61 cited
2021Bankruptcy prediction on the base of the unbalanced data using multi-objective selection of classifiers60 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2024

Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction

53 cited

2012Assessing methodologies for intelligent bankruptcy prediction53 cited

2022Predicting and interpreting financial distress using a weighted boosted tree-based tree46 cited

2023Mining semantic features in patent text for financial distress prediction46 cited

2020Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market36 cited

2016Methodological approach of construction business failure prediction studies: a review31 cited

2015A Genetic Bankrupt Ratio Analysis Tool Using a Genetic Algorithm to Identify Influencing Financial Ratios27 cited

2019Predicting firm failure in the software industry25 cited

2017RETRACTED ARTICLE: Pattern mining model based on improved neural network and modified genetic algorithm for cloud mobile networks20 cited

2015A reference model for business intelligence to predict bankruptcy18 cited

2013The effect of context on misclassification costs in e-commerce applications15 cited