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A novel multi-stage ensemble model with enhanced outlier adaptation for credit scoring
12 references·16 citing·40 second hop
A novel multi-stage ensemble model with enhanced outlier adaptation for credit scoring (2020)A novel multi-stage ensemble model with e…Information gain directed genetic algorithm wrapper feature selection for credit rating (2018)Information gain directed gen…A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring (2018)A novel multi-stage hybrid mo…Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Systematic review of bankrupt…Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Ensemble boosted trees with s…Classifiers consensus system approach for credit scoring (2016)Classifiers consensus system …Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…Bankruptcy prediction for Russian companies: Application of combined classifiers (2013)Bankruptcy prediction for Rus…Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey (2009)Hybrid and ensemble-based sof…Combination of feature selection approaches with SVM in credit scoring (2009)Combination of feature select…The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)The comparisons of data minin…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Machine learning powered financial credit scoring: a systematic literature review (2025)Machine learning powered fina…Investigating the beneficial impact of segmentation-based modelling for credit scoring (2024)Investigating the beneficial …Feature Enhanced Ensemble Modeling With Voting Optimization for Credit Risk Assessment (2024)Feature Enhanced Ensemble Mod…Dynamics of Big Data Analytics in the Banking Sector (2024)Dynamics of Big Data Analytic…Mathematical Modeling and Analysis of Credit Scoring Using the LIME Explainer: A Comprehensive Approach (2023)Mathematical Modeling and Ana…A new hybrid credit scoring ensemble model with feature enhancement and soft voting weight optimization (2023)A new hybrid credit scoring e…Extreme Learning Machine Enhanced Gradient Boosting for Credit Scoring (2022)Extreme Learning Machine Enha…Emerging Trends in Deep Learning for Credit Scoring: A Review (2022)Emerging Trends in Deep Learn…Deep learning meets decision trees: An application of a heterogeneous deep forest approach in credit scoring for online consumer lending (2022)Deep learning meets decision …BACS: blockchain and AutoML-based technology for efficient credit scoring classification (2022)BACS: blockchain and AutoML-b…Assessing and predicting small industrial enterprises’ credit ratings: A fuzzy decision-making approach (2022)Assessing and predicting smal…Feature Selection in a Credit Scoring Model (2021)Feature Selection in a Credit…A Two-Stage Hybrid Default Discriminant Model Based on Deep Forest (2021)A Two-Stage Hybrid Default Di…A Partially Interpretable Adaptive Softmax Regression for Credit Scoring (2021)A Partially Interpretable Ada…A new hybrid ensemble model with voting-based outlier detection and balanced sampling for credit scoring (2021)A new hybrid ensemble model w…A Hybrid Machine Learning Model for Credit Approval (2021)A Hybrid Machine Learning Mod…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Neural network credit scoring models (2000)Credit scoring with a data mining approach based on support vector machines (2006)A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring (2015)A new hybrid ensemble credit scoring model based on classifiers consensus system approach (2016)An Empirical Comparison 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(2019)A Review on Fairness in Machine Learning (2022)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Two-stage consumer credit risk modelling using heterogeneous ensemble learning (2019)Big data, artificial intelligence and machine learning: A transformative symbiosis in favour of financial technology (2022)Operational Research and Artificial Intelligence Methods in Banking (2022)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Data analytic approach for bankruptcy prediction (2019)Modelling carbon emission intensity: Application of artificial neural network (2019)Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree (2021)Genetic algorithm-based heuristic for feature selection in credit risk assessment (2013)A Bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment (2019)A study on credit scoring modeling with different feature selection and machine learning approaches (2020)A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network (2022)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)'It's Reducing a Human Being to a Percentage' (2018)Machine Learning and Natural Language Processing in Mental Health: Systematic Review (2020)A comparative study on base classifiers in ensemble methods for credit scoring (2016)Predicting failure in the U.S. banking sector: An extreme gradient boosting approach (2018)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 cited
  • 2016Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction419 cited
  • 2017Systematic review of bankruptcy prediction models: Towards a framework for tool selection330 cited
  • 2018Information gain directed genetic algorithm wrapper feature selection for credit rating300 cited
  • 2009Combination of feature selection approaches with SVM in credit scoring202 cited
  • 2016Classifiers consensus system approach for credit scoring202 cited
  • 2009Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey168 cited
  • 2018A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring139 cited
  • 2013Bankruptcy prediction for Russian companies: Application of combined classifiers90 cited

Cited by

  • 2021A new hybrid ensemble model with voting-based outlier detection and balanced sampling for credit scoring60 cited

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  • 2021Feature Selection in a Credit Scoring Model52 cited
  • 2023Mathematical Modeling and Analysis of Credit Scoring Using the LIME Explainer: A Comprehensive Approach47 cited
  • 2022Emerging Trends in Deep Learning for Credit Scoring: A Review38 cited
  • 2025Machine learning powered financial credit scoring: a systematic literature review38 cited
  • 2022Assessing and predicting small industrial enterprises’ credit ratings: A fuzzy decision-making approach35 cited
  • 2022BACS: blockchain and AutoML-based technology for efficient credit scoring classification35 cited
  • 2021A Hybrid Machine Learning Model for Credit Approval20 cited
  • 2024Investigating the beneficial impact of segmentation-based modelling for credit scoring20 cited
  • 2022Deep learning meets decision trees: An application of a heterogeneous deep forest approach in credit scoring for online consumer lending18 cited
  • 2023A new hybrid credit scoring ensemble model with feature enhancement and soft voting weight optimization18 cited
  • 2021A Partially Interpretable Adaptive Softmax Regression for Credit Scoring18 cited
  • 2022Extreme Learning Machine Enhanced Gradient Boosting for Credit Scoring17 cited
  • 2021A Two-Stage Hybrid Default Discriminant Model Based on Deep Forest17 cited
  • 2024Feature Enhanced Ensemble Modeling With Voting Optimization for Credit Risk Assessment16 cited
  • 2024Dynamics of Big Data Analytics in the Banking Sector6 cited