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Credit scoring based on tree-enhanced gradient boosting decision trees
16 references·13 citing·33 second hop
Credit scoring based on tree-enhanced gradient boosting decision trees (2021)Credit scoring based on tree-enhanced gra…Two-stage consumer credit risk modelling using heterogeneous ensemble learning (2019)Two-stage consumer credit ris…Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring (2019)Application of new deep genet…A novel heterogeneous ensemble credit scoring model based on bstacking approach (2017)A novel heterogeneous ensembl…A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)A boosted decision tree appro…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…Credit scoring using the clustered support vector machine (2014)Credit scoring using the clus…A comparative study of classifier ensembles for bankruptcy prediction (2014)A comparative study of classi…Credit scoring models for the microfinance industry using neural networks: Evidence from Peru (2012)Credit scoring models for the…Vertical bagging decision trees model for credit scoring (2010)Vertical bagging decision tre…Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Using neural network ensemble…Credit scoring using the hybrid neural discriminant technique (2002)Credit scoring using the hybr…Neural network credit scoring models (2000)Neural network credit scoring…A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk (1996)A k-Nearest-Neighbour Classif…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…The Impact of Fintech on the Stability of Middle Eastern and North African (MENA) Banks (2025)The Impact of Fintech on the …Prediction of bank credit worthiness through credit risk analysis: an explainable machine learning study (2024)Prediction of bank credit wor…Credit risk prediction based on causal machine learning: Bayesian network learning, default inference, and interpretation (2024)Credit risk prediction based …Mathematical Modeling and Analysis of Credit Scoring Using the LIME Explainer: A Comprehensive Approach (2023)Mathematical Modeling and Ana…Credit scoring prediction leveraging interpretable ensemble learning (2023)Credit scoring prediction lev…Credit risk evaluation using clustering based fuzzy classification method (2023)Credit risk evaluation using …Credit rating prediction with supply chain information: a machine learning perspective (2023)Credit rating prediction with…Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)Consumer credit risk assessme…What should lenders be more concerned about? Developing a profit-driven loan default prediction model (2022)What should lenders be more c…Deep reinforcement learning with the confusion-matrix-based dynamic reward function for customer credit scoring (2022)Deep reinforcement learning w…Business Failure Prediction Based on a Cost-Sensitive Extreme Gradient Boosting Machine (2022)Business Failure Prediction B…Bagging Supervised Autoencoder Classifier for credit scoring (2022)Bagging Supervised Autoencode…A CWGAN-GP-based multi-task learning model for consumer credit scoring (2022)A CWGAN-GP-based multi-task l…Applied Statistical Decision Theory (1962)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Forecasting stock market crisis events using deep and statistical machine learning techniques (2018)Machine learning techniques for credit risk evaluation: a systematic literature review (2020)Forecasting with artificial neural networks: (1998)Building credit scoring models using genetic programming (2005)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Machine Learning in Financial Crisis Prediction: A Survey (2011)A Stochastic Approximation Method (1951)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)A comparative assessment of ensemble learning for credit scoring (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Credit scoring with a data mining approach based on support vector machines (2006)What's In A Name? Malay Seals As Onomastic Sources (2018)Machine learning-driven credit risk: a systemic review (2022)Operational Research and Artificial Intelligence Methods in Banking (2022)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)Forecasting gold price with the XGBoost algorithm and SHAP interaction values (2021)A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)PREDICTING BANKRUPTCY FOR FIRMS IN FINANCIAL DISTRESS (1990)Predicting and Deterring Default with Social Media Information in Peer-to-Peer Lending (2017)'It's Reducing a Human Being to a Percentage' (2018)Machine Learning and Natural Language Processing in Mental Health: Systematic Review (2020)DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring (2019)Integration of unsupervised and supervised machine learning algorithms for credit risk assessment (2019)
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References

  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2017A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring770 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 2002Credit scoring using the hybrid neural discriminant technique355 cited
  • 1996A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk286 cited
  • 2014Credit scoring using the clustered support vector machine269 cited
  • 2016A comparative study on base classifiers in ensemble methods for credit scoring248 cited
  • 2017A novel heterogeneous ensemble credit scoring model based on bstacking approach214 cited
  • 2012Credit scoring models for the microfinance industry using neural networks: Evidence from Peru210 cited
  • 2016Classifiers consensus system approach for credit scoring202 cited
  • 2014A comparative study of classifier ensembles for bankruptcy prediction201 cited
  • 2019Two-stage consumer credit risk modelling using heterogeneous ensemble learning182 cited

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

  • 2019Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring176 cited
  • 2010Vertical bagging decision trees model for credit scoring163 cited
  • Cited by

    • 2022Deep reinforcement learning with the confusion-matrix-based dynamic reward function for customer credit scoring77 cited
    • 2024Prediction of bank credit worthiness through credit risk analysis: an explainable machine learning study75 cited
    • 2023Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods71 cited
    • 2022Bagging Supervised Autoencoder Classifier for credit scoring66 cited
    • 2023Credit risk evaluation using clustering based fuzzy classification method50 cited
    • 2022Business Failure Prediction Based on a Cost-Sensitive Extreme Gradient Boosting Machine47 cited
    • 2023Mathematical Modeling and Analysis of Credit Scoring Using the LIME Explainer: A Comprehensive Approach47 cited
    • 2022What should lenders be more concerned about? Developing a profit-driven loan default prediction model38 cited
    • 2024Credit risk prediction based on causal machine learning: Bayesian network learning, default inference, and interpretation32 cited
    • 2022A CWGAN-GP-based multi-task learning model for consumer credit scoring28 cited
    • 2023Credit scoring prediction leveraging interpretable ensemble learning23 cited
    • 2023Credit rating prediction with supply chain information: a machine learning perspective22 cited
    • 2025The Impact of Fintech on the Stability of Middle Eastern and North African (MENA) Banks19 cited