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Credit Risk Analytics
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Credit Risk Analytics (2016)Credit Risk AnalyticsA comparative study of combining tree‐based feature selection methods and classifiers in personal loan default prediction (2022)A comparative study of combin…Machine learning methods for short-term probability of default: A comparison of classification, regression and ranking methods (2021)Machine learning methods for …A conservative approach for online credit scoring (2021)A conservative approach for o…Super-app behavioral patterns in credit risk models: Financial, statistical and regulatory implications (2020)Super-app behavioral patterns…Cost-sensitive learning for profit-driven credit scoring (2020)Cost-sensitive learning for p…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution (2018)FinTech regulation: Evolutionary game model, numerical simulation, and recommendations (2022)Attention-based dynamic multilayer graph neural networks for loan default prediction (2024)Digital platforms’ growth strategies and the rise of super apps (2024)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Profit scoring for credit unions using the multilayer perceptron, XGBoost and TabNet algorithms: Evidence from Peru (2022)Cost-sensitive stacking ensemble learning for company financial distress prediction (2024)Credit scoring using multi-task Siamese neural network for improving prediction performance and stability (2024)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Application Analysis of Credit Scoring of Financial Institutions Based on Machine Learning Model (2021)Is artificial intelligence and machine learning changing the ways of banking: a systematic literature review and meta analysis (2023)XGBoost-B-GHM: An Ensemble Model with Feature Selection and GHM Loss Function Optimization for Credit Scoring (2024)Credit scoring with a data mining approach based on support vector machines (2006)Credit risk analysis using boosting methods (2023)Enhancing credit risk prediction based on ensemble tree‐based feature transformation and logistic regression (2023)
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  • 2020Super-app behavioral patterns in credit risk models: Financial, statistical and regulatory implications64 cited
  • 2021A conservative approach for online credit scoring58 cited
  • 2020Cost-sensitive learning for profit-driven credit scoring45 cited
  • 2021Machine learning methods for short-term probability of default: A comparison of classification, regression and ranking methods26 cited
  • 2022A comparative study of combining tree‐based feature selection methods and classifiers in personal loan default prediction24 cited

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