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A Multi-Stage Self-Adaptive Classifier Ensemble Model With Application in Credit Scoring
16 references·11 citing·34 second hop
A Multi-Stage Self-Adaptive Classifier Ensemble Model With Application in Credit Scoring (2019)A Multi-Stage Self-Adaptive Classifier En…A novel heterogeneous ensemble credit scoring model based on bstacking approach (2017)A novel heterogeneous ensembl…Classifiers consensus system approach for credit scoring (2016)Classifiers consensus system …A comparative study on base classifiers in ensemble methods for credit scoring (2016)A comparative study on base c…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits (2014)BayesOpt: A Bayesian Optimiza…Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Information-Theoretic Regret …Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Financial…A comparative assessment of ensemble learning for credit scoring (2010)A comparative assessment of e…Combination of feature selection approaches with SVM in credit scoring (2009)Combination of feature select…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…Application of support vector machines to corporate credit rating prediction (2006)Application of support vector…Hybrid genetic algorithms and support vector machines for bankruptcy prediction (2005)Hybrid genetic algorithms and…Building credit scoring models using genetic programming (2005)Building credit scoring model…Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)Mining the customer credit us…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Statistical Classification Me…Machine learning powered financial credit scoring: a systematic literature review (2025)Machine learning powered fina…Artificial intelligence applications in finance: a survey (2023)Artificial intelligence appli…Experimental analysis of machine learning methods for credit score classification (2021)Experimental analysis of mach…Credit Scoring Models Using Ensemble Learning and Classification Approaches: A Comprehensive Survey (2021)Credit Scoring Models Using E…Credit scoring model based on a novel group feature selection method: The case of Chinese small-sized manufacturing enterprises (2021)Credit scoring model based on…A Two-Stage Hybrid Default Discriminant Model Based on Deep Forest (2021)A Two-Stage Hybrid Default Di…A multi-level classification and modified PSO clustering based ensemble approach for credit scoring (2021)A multi-level classification …Prediction of Repeat Customers on E-Commerce Platform Based on Blockchain (2020)Prediction of Repeat Customer…An Ensemble Classifier Model to Predict Credit Scoring - Comparative Analysis (2020)An Ensemble Classifier Model …A Novel GSCI-Based Ensemble Approach for Credit Scoring (2020)A Novel GSCI-Based Ensemble A…A combined entropy-based approach for a proactive credit scoring (2019)A combined entropy-based appr…Neural network credit scoring models (2000)Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities (2015)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Predicting 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 Turkey (2008)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)A Discriminant Analysis of Predictors of Business Failure (1972)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Consumer credit-risk models via machine-learning algorithms (2010)A comparison of neural networks and linear scoring models in the credit union environment (1996)Business failure prediction using rough sets (1999)Forecasting energy consumption using a grey model improved by incorporating genetic programming (2010)Forecasting with artificial neural networks: (1998)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)The effect of feature selection on financial distress prediction (2014)Financial credit risk assessment: a recent review (2015)A hybrid ETS–ANN model for time series forecasting (2017)Some aspects of the sequential design of experiments (1952)Finite-time Analysis of the Multiarmed Bandit Problem (2002)A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Bandit Algorithms (2020)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Machine behaviour (2019)'It's Reducing a Human Being to a Percentage' (2018)Machine Learning and Natural Language Processing in Mental Health: Systematic Review (2020)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)Computer assisted customer churn management: State-of-the-art and future trends (2005)An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)
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References

  • 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting2,098 cited
  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 2010A comparative assessment of ensemble learning for credit scoring501 cited
  • 2004Mining the customer credit using classification and regression tree and multivariate adaptive regression splines378 cited
  • 2005Hybrid genetic algorithms and support vector machines for bankruptcy prediction377 cited
  • 2005Building credit scoring models using genetic programming356 cited
  • 2011Machine Learning in Financial Crisis Prediction: A Survey325 cited
  • 2016A comparative study on base classifiers in ensemble methods for credit scoring248 cited
  • 2014BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits248 cited
  • 2017A novel heterogeneous ensemble credit scoring model based on bstacking approach214 cited
  • 2006Application of support vector machines to corporate credit rating prediction

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205 cited
  • 2009Combination of feature selection approaches with SVM in credit scoring202 cited
  • 2016Classifiers consensus system approach for credit scoring202 cited
  • Cited by

    • 2023Artificial intelligence applications in finance: a survey57 cited
    • 2019A combined entropy-based approach for a proactive credit scoring40 cited
    • 2025Machine learning powered financial credit scoring: a systematic literature review38 cited
    • 2021Experimental analysis of machine learning methods for credit score classification38 cited
    • 2021Credit Scoring Models Using Ensemble Learning and Classification Approaches: A Comprehensive Survey38 cited
    • 2021A multi-level classification and modified PSO clustering based ensemble approach for credit scoring26 cited
    • 2020A Novel GSCI-Based Ensemble Approach for Credit Scoring24 cited
    • 2020An Ensemble Classifier Model to Predict Credit Scoring - Comparative Analysis17 cited
    • 2021Credit scoring model based on a novel group feature selection method: The case of Chinese small-sized manufacturing enterprises17 cited
    • 2021A Two-Stage Hybrid Default Discriminant Model Based on Deep Forest17 cited
    • 2020Prediction of Repeat Customers on E-Commerce Platform Based on Blockchain14 cited