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A combined entropy-based approach for a proactive credit scoring
16 references·6 citing·40 second hop
A combined entropy-based approach for a proactive credit scoring (2019)A combined entropy-based approach for a p…A Multi-Stage Self-Adaptive Classifier Ensemble Model With Application in Credit Scoring (2019)A Multi-Stage Self-Adaptive C…Dynamic ensemble classification for credit scoring using soft probability (2018)Dynamic ensemble classificati…Credit Scoring Model based on Weighted Voting and Cluster based Feature Selection (2018)Credit Scoring Model based on…Classifier selection and clustering with fuzzy assignment in ensemble model for credit scoring (2018)Classifier selection and clus…A novel credit scoring model based on optimized random forest (2018)A novel credit scoring model …A new approach for reject inference in credit scoring using kernel-free fuzzy quadratic surface support vector machines (2018)A new approach for reject inf…A hybrid deep learning model for consumer credit scoring (2018)A hybrid deep learning model …Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…A comparative assessment of ensemble learning for credit scoring (2010)A comparative assessment of e…Hybrid mining approach in the design of credit scoring models (2005)Hybrid mining approach in the…Data mining feature selection for credit scoring models (2005)Data mining feature selection…A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)A two-stage hybrid credit sco…What's the point of credit scoring? (1997)What's the point of credit sc…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Statistical Classification Me…Construction of a k-nearest-neighbour credit-scoring system (1997)Construction of a k-nearest-n…Statistical aspects of credit scoring (1995)Statistical aspects of credit…Hybrid boosted attention-based LightGBM framework for enhanced credit risk assessment in digital finance (2025)Hybrid boosted attention-base…Profit- and risk-driven credit scoring under parameter uncertainty: A multiobjective approach (2023)Profit- and risk-driven credi…Research on significant factors affecting adoption of blockchain technology for enterprise distributed applications based on integrated MCDM FCEM-MULTIMOORA-FG method (2022)Research on significant facto…Optimal cost-sensitive credit scoring using a new hybrid performance metric (2022)Optimal cost-sensitive credit…Novel hybrid ensemble credit scoring model with stacking-based noise detection and weight assignment (2022)Novel hybrid ensemble credit …Feature selection based on machine learning for credit scoring : An evaluation of filter and embedded methods (2021)Feature selection based on ma…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Credit risk measurement: Developments over the last 20 years (1997)The Effect of Credit Scoring on Small-Business Lending (2001)Foreign Bank Entry: Experience, Implications for Developing Economies, and Agenda for Further Research (2003)Borrower–lender distance, credit scoring, and loan performance: Evidence from informational-opaque small business borrowers (2007)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)A Discriminant Analysis of Predictors of Business Failure (1972)Forecasting with artificial neural networks: (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)A comparative study on base classifiers in ensemble methods for credit scoring (2016)Neural network credit scoring models (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)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)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Credit rating by hybrid machine learning techniques (2009)Combining cluster analysis with classifier ensembles to predict financial distress (2011)Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring (2019)Fuzzy sets (1965)Fuzzy sets (1996)A novel tree-based dynamic heterogeneous ensemble method for credit scoring (2020)Multi-view ensemble learning based on distance-to-model and adaptive clustering for imbalanced credit risk assessment in P2P lending (2020)A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain (2022)Credit scoring using support vector machines with direct search for parameters selection (2008)Credit rating prediction using Ant Colony Optimization (2009)Fair-AdaBoost: Extending AdaBoost method to achieve fair classification (2022)Handbook of Financial Engineering (2008)An insight into the experimental design for credit risk and corporate bankruptcy prediction systems (2014)Big Data techniques to measure credit banking risk in home equity loans (2018)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)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)Consumer credit-risk models via machine-learning algorithms (2010)An artificial intelligence system for predicting customer default in e-commerce (2018)Credit risk assessment for unbalanced datasets based on data mining, artificial neural network and support vector machines (2018)Predicting credit risk on the basis of financial and non-financial variables and data mining (2018)
this work references cited by second hop

References

  • 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
  • 2010A comparative assessment of ensemble learning for credit scoring501 cited
  • 2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines389 cited
  • 1997What's the point of credit scoring?311 cited
  • 2005Hybrid mining approach in the design of credit scoring models196 cited
  • 2018Dynamic ensemble classification for credit scoring using soft probability118 cited
  • 2005Data mining feature selection for credit scoring models117 cited
  • 1995Statistical aspects of credit scoring97 cited
  • 1997Construction of a k-nearest-neighbour credit-scoring system96 cited
  • 2018A hybrid deep learning model for consumer credit scoring75 cited
  • 2019A Multi-Stage Self-Adaptive Classifier Ensemble Model With Application in Credit Scoring65 cited
  • 2018A new approach for reject inference in credit scoring using kernel-free fuzzy quadratic surface support vector machines63 cited
  • 2018Classifier selection and clustering with fuzzy assignment in ensemble model for credit scoring55 cited

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2018
Credit Scoring Model based on Weighted Voting and Cluster based Feature Selection
53 cited
  • 2018A novel credit scoring model based on optimized random forest48 cited
  • Cited by

    • 2022Research on significant factors affecting adoption of blockchain technology for enterprise distributed applications based on integrated MCDM FCEM-MULTIMOORA-FG method46 cited
    • 2022Novel hybrid ensemble credit scoring model with stacking-based noise detection and weight assignment40 cited
    • 2022Optimal cost-sensitive credit scoring using a new hybrid performance metric33 cited
    • 2023Profit- and risk-driven credit scoring under parameter uncertainty: A multiobjective approach28 cited
    • 2021Feature selection based on machine learning for credit scoring : An evaluation of filter and embedded methods20 cited
    • 2025Hybrid boosted attention-based LightGBM framework for enhanced credit risk assessment in digital finance17 cited