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Credit scoring model based on a novel group feature selection method: The case of Chinese small-sized manufacturing enterprises
13 references·0 citing·45 second hop
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 novel gro…A novel hybrid credit scoring model based on ensemble feature selection and multilayer ensemble classification (2019)A novel hybrid credit scoring…A Multi-Stage Self-Adaptive Classifier Ensemble Model With Application in Credit Scoring (2019)A Multi-Stage Self-Adaptive C…Relative Performance Evaluation of Ensemble Classification with Feature Reduction in Credit Scoring Datasets (2018)Relative Performance Evaluati…Generalized fuzzy soft sets theory‐based novel hybrid ensemble credit scoring model (2018)Generalized fuzzy soft sets t…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…The Study of Credit Scoring Model Based on Group Lasso (2017)The Study of Credit Scoring M…Multi Criteria Credit Rating Model for Small Enterprise Using a Nonparametric Method (2017)Multi Criteria Credit Rating …Credit Scoring and Its Applications, Second Edition (2017)Credit Scoring and Its Applic…An Efficient Multi-layer Ensemble Framework with BPSOGSA-Based Feature Selection for Credit Scoring Data Analysis (2017)An Efficient Multi-layer Ense…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring (2015)A hybrid data mining model of…Combination of feature selection approaches with SVM in credit scoring (2009)Combination of feature select…Benchmarking Quantitative Default Risk Models: A Validation Methodology (2000)Benchmarking Quantitative Def…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 new hybrid ensemble credit scoring model based on classifiers consensus system approach (2016)An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments (2019)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Theory of rational option pricing (2005)Bankruptcy prediction by generalized additive models (2006)Measuring and Analyzing Sovereign Risk with Contingent Claims (2008)Forecasting Credit Portfolio Risk (2016)A comparative assessment of ensemble learning for credit scoring (2010)Genetic algorithm-based heuristic for feature selection in credit risk assessment (2013)A comparative study on base classifiers in ensemble methods for credit scoring (2016)Credit Scoring Models Using Ensemble Learning and Classification Approaches: A Comprehensive Survey (2021)Experimental analysis of machine learning methods for credit score classification (2021)Emerging Trends in Deep Learning for Credit Scoring: A Review (2022)Soft set theory—First results (1999)Credit Scoring and Its Applications (2002)Hybridized artificial neural network classifiers with a novel feature selection procedure based genetic algorithms and information complexity in credit scoring (2021)Deep learning meets decision trees: An application of a heterogeneous deep forest approach in credit scoring for online consumer lending (2022)Integration of CNN Models and Machine Learning Methods in Credit Score Classification: 2D Image Transformation and Feature Extraction (2025)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends (2019)A novel tree-based dynamic heterogeneous ensemble method for credit scoring (2020)Assessing credit risk of commercial customers using hybrid machine learning algorithms (2022)The application of fuzzy integrals in multicriteria decision making (1996)Feature Selection in a Credit Scoring Model (2021)Majority voting ensemble with a decision trees for business failure prediction during economic downturns (2021)Mathematical Modeling and Analysis of Credit Scoring Using the LIME Explainer: A Comprehensive Approach (2023)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)A combined entropy-based approach for a proactive credit scoring (2019)Artificial intelligence applications in finance: a survey (2023)Machine learning powered financial credit scoring: a systematic literature review (2025)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction (2018)A XGBOOST RISK MODEL VIA FEATURE SELECTION AND BAYESIAN HYPER-PARAMETER OPTIMIZATION (2019)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)We’re just data: Exploring China’s social credit system in relation to digital platform ratings cultures in Westernised democracies (2019)Super-app behavioral patterns in credit risk models: Financial, statistical and regulatory implications (2020)A Machine Learning Approach for Micro-Credit Scoring (2021)
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References

  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2009Combination of feature selection approaches with SVM in credit scoring202 cited
  • 2015A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring178 cited
  • 2000Benchmarking Quantitative Default Risk Models: A Validation Methodology167 cited
  • 2017Credit Scoring and Its Applications, Second Edition163 cited
  • 2018A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring139 cited
  • 2019A novel hybrid credit scoring model based on ensemble feature selection and multilayer ensemble classification73 cited
  • 2019A Multi-Stage Self-Adaptive Classifier Ensemble Model With Application in Credit Scoring65 cited
  • 2017An Efficient Multi-layer Ensemble Framework with BPSOGSA-Based Feature Selection for Credit Scoring Data Analysis48 cited
  • 2018Generalized fuzzy soft sets theory‐based novel hybrid ensemble credit scoring model37 cited
  • 2017Multi Criteria Credit Rating Model for Small Enterprise Using a Nonparametric Method36 cited
  • 2017The Study of Credit Scoring Model Based on Group Lasso24 cited
  • 2018Relative Performance Evaluation of Ensemble Classification with Feature Reduction in Credit Scoring Datasets17 cited

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