SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Profit scoring for credit unions using the multilayer perceptron, XGBoost and TabNet algorithms: Evidence from Peru
16 references·1 citing·47 second hop
Profit scoring for credit unions using the multilayer perceptron, XGBoost and TabNet algorithms: Evidence from Peru (2022)Profit scoring for credit unions using th…A Comparative Performance Assessment of Ensemble Learning for Credit Scoring (2020)A Comparative Performance Ass…Wide and deep learning for peer-to-peer lending (2019)Wide and deep learning for pe…An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments (2019)An Empirical Comparison of Ma…A multi-objective approach for profit-driven feature selection in credit scoring (2019)A multi-objective approach fo…Integrated framework for profit-based feature selection and SVM classification in credit scoring (2017)Integrated framework for prof…A Novel behavioral scoring model for estimating probability of default over time in peer-to-peer lending (2017)A Novel behavioral scoring mo…A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)A boosted decision tree appro…The use of profit scoring as an alternative to credit scoring systems in peer-to-peer (P2P) lending (2016)The use of profit scoring as …Investigation and improvement of multi-layer perceptron neural networks for credit scoring (2014)Investigation and improvement…Development and application of consumer credit scoring models using profit-based classification measures (2014)Development and application o…Credit scoring models for the microfinance industry using neural networks: Evidence from Peru (2012)Credit scoring models for the…Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes (2010)Neural networks for credit ri…Neural network survival analysis for personal loan data (2005)Neural network survival analy…Data mining feature selection for credit scoring models (2005)Data mining feature selection…Neural network credit scoring models (2000)Neural network credit scoring…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…Cost-sensitive stacking ensemble learning for company financial distress prediction (2024)Cost-sensitive stacking ensem…Credit Scoring and Its Applications (2002)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)Cost-based feature selection for Support Vector Machines: An application in credit scoring (2017)Predicting mortgage default using convolutional neural networks (2018)Two-stage consumer credit risk modelling using heterogeneous ensemble learning (2019)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Forecasting stock market movement direction with support vector machine (2004)Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment (2012)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Credit risk evaluation using neural networks: Emotional versus conventional models (2011)Mixture cure models in credit scoring: If and when borrowers default (2011)Credit Scoring and Its Applications (2017)Deep Learning for Mortgage Risk (2018)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)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Forecasting with artificial neural networks: (1998)Financial time series forecasting using support vector machines (2003)Credit risk assessment model for Jordanian commercial banks: Neural scoring approach (2014)Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach (2015)Machine Learning at Central Banks (2017)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Credit scoring with a data mining approach based on support vector machines (2006)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)The Market for "Lemons": Quality Uncertainty and the Market Mechanism (1970)A novel heterogeneous ensemble credit scoring model based on bstacking approach (2017)Cost-sensitive boosted tree for loan evaluation in peer-to-peer lending (2017)Soft consensus cost models for group decision making and economic interpretations (2019)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)Forecasting gold price with the XGBoost algorithm and SHAP interaction values (2021)Financial Ratios As Predictors of Failure (1966)Credit scoring prediction leveraging interpretable ensemble learning (2023)Effective Credit Risk Prediction Using Ensemble Classifiers With Model Explanation (2024)Measuring fairness in credit ratings (2024)Digitalisation and Big Data Mining in Banking (2018)Review of bankruptcy prediction using machine learning and deep learning techniques (2019)A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees (2020)
this work references cited by second hop

References

  • 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
  • 2016The use of profit scoring as an alternative to credit scoring systems in peer-to-peer (P2P) lending253 cited
  • 2010Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes236 cited
  • 2014Investigation and improvement of multi-layer perceptron neural networks for credit scoring230 cited
  • 2012Credit scoring models for the microfinance industry using neural networks: Evidence from Peru210 cited
  • 2014Development and application of consumer credit scoring models using profit-based classification measures179 cited
  • 2020A Comparative Performance Assessment of Ensemble Learning for Credit Scoring152 cited
  • 2005Neural network survival analysis for personal loan data145 cited
  • 2019An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments143 cited
  • 2019A multi-objective approach for profit-driven feature selection in credit scoring141 cited
  • 2005Data mining feature selection for credit scoring models117 cited
  • 2017Integrated framework for profit-based feature selection and SVM classification in credit scoring

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

111 cited
  • 2019Wide and deep learning for peer-to-peer lending105 cited
  • 2017A Novel behavioral scoring model for estimating probability of default over time in peer-to-peer lending89 cited
  • Cited by

    • 2024Cost-sensitive stacking ensemble learning for company financial distress prediction34 cited