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A Soft Intelligent Risk Evaluation Model for Credit Scoring Classification
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A Soft Intelligent Risk Evaluation Model for Credit Scoring Classification (2015)A Soft Intelligent Risk Evaluation Model …Credit Scoring and Its Applications (2017)Credit Scoring and Its Applic…Credit scoring using the clustered support vector machine (2014)Credit scoring using the clus…CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)CREDIT SCORING, STATISTICAL T…An artificial neural network (p,d,q) model for timeseries forecasting (2009)An artificial neural network …Support vector machines for credit scoring and discovery of significant features (2008)Support vector machines for c…Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)Improvement of Auto-Regressiv…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)A two-stage hybrid credit sco…Credit Risk Modeling: Theory and Applications (2004)Credit Risk Modeling: Theory …Credit Risk Modeling (2004)Credit Risk ModelingCredit scoring using the hybrid neural discriminant technique (2002)Credit scoring using the hybr…Credit Scoring and Its Applications (2002)Credit Scoring and Its Applic…A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction (2002)A case-based reasoning with t…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 Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)A Note on the Comparison of L…Applied Statistical Decision Theory (1962)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Econometric Models and Economic Forecasts (1990)Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation (2014)Determinants of Default in P2P Lending (2015)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)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)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Building credit scoring models using genetic programming (2005)Machine Learning in Financial Crisis Prediction: A Survey (2011)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)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)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Machine behaviour (2019)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)Using artificial neural network models in stock market index prediction (2011)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Recurrent neural network and a hybrid model for prediction of stock returns (2014)Applied Linear Statistical Models. 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References

  • 2000Neural network credit scoring models1,032 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 2009An artificial neural network (p,d,q) model for timeseries forecasting785 cited
  • 2002Credit Scoring and Its Applications669 cited
  • 2004Credit Risk Modeling530 cited
  • 1980A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior435 cited
  • 2011CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE409 cited
  • 2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines389 cited
  • 2004Credit Risk Modeling: Theory and Applications375 cited
  • 2002Credit scoring using the hybrid neural discriminant technique355 cited
  • 2008Support vector machines for credit scoring and discovery of significant features336 cited
  • 2017Credit Scoring and Its Applications306 cited
  • 2008Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)299 cited
  • 1996A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk286 cited
  • 2002A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction

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277 cited
  • 2014Credit scoring using the clustered support vector machine269 cited
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