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Using Neural Networks for Credit Scoring
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Using Neural Networks for Credit Scoring (1992)Using Neural Networks for Credit ScoringPredicting customer quality in e-commerce social networks: a machine learning approach (2018)Predicting customer quality i…A new dynamic modeling framework for credit risk assessment (2015)A new dynamic modeling framew…Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors (2014)Credit risk evaluation using …Intellectual capital and corporate performance in Iranian pharmaceutical industry (2012)Intellectual capital and corp…Vertical bagging decision trees model for credit scoring (2010)Vertical bagging decision tre…Credit Scoring Models using Soft Computing Methods: A Survey (2010)Credit Scoring Models using S…The Link Between Board Composition and Corporate Diversification in Australian Corporations (2009)The Link Between Board Compos…Multiple classifier application to credit risk assessment (2009)Multiple classifier applicati…Mining the customer credit using hybrid support vector machine technique (2008)Mining the customer credit us…Consumer credit scoring models with limited data (2008)Consumer credit scoring model…A practical approach to credit scoring (2007)A practical approach to credi…Two-stage genetic programming (2SGP) for the credit scoring model (2005)Two-stage genetic programming…The evaluation of consumer loans using support vector machines (2005)The evaluation of consumer lo…Tourist market segmentation with linear and non-linear techniques (2003)Tourist market segmentation w…Forecasting exchange rates using general regression neural networks (2000)Forecasting exchange rates us…Household Insolvency (1995)Household InsolvencyNeural network credit scoring models (2000)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Credit scoring with a data mining approach based on support vector machines (2006)Selection of Support Vector Machines based classifiers for credit risk domain (2014)A new hybrid ensemble credit scoring model based on classifiers consensus system approach (2016)DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring (2019)The balanced scorecard : measures that drive performance (1992)The balanced scorecard--measures that drive performance. (1992)Intellectual capital: The new wealth of organizations (1998)Intellectual Capital and its Effect on Financial Performance of Banks: Evidence from Saudi Arabia (2014)The effects of knowledge creation process on organizational performance using the BSC approach: the mediating role of intellectual capital (2018)Intellectual capital efficiency and organisational performance (2019)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)Forecasting stock market movement direction with support vector machine (2004)Detecting stock-price manipulation in an emerging market: The case of Turkey (2009)Credit risk evaluation using neural networks: Emotional versus conventional models (2011)How low can you go? — Overcoming the inability of lenders to set proper interest rates on unsecured peer-to-peer lending markets (2015)A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networks (2012)Sales forecasting of computer products based on variable selection scheme and support vector regression (2013)Dynamic ensemble classification for credit scoring using soft probability (2018)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)Structural equation modeling with AMOS: basic concepts, applications, and programming (2000)Exploring the behaviour of base classifiers in credit scoring ensembles (2012)Two-level classifier ensembles for credit risk assessment (2012)Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction (2018)A comparison of neural networks and linear scoring models in the credit union environment (1996)Business failure prediction using rough sets (1999)Credit risk assessment model for Jordanian commercial banks: Neural scoring approach (2014)Grey forecasting method of quarterly hydropower production in China based on a data grouping approach (2017)Financial Ratios As Predictors of Failure (1966)Measuring the efficiency of decision making units (1978)Dynamic prediction of financial distress using Malmquist DEA (2017)The effects of handling outliers on the performance of bankruptcy prediction models (2018)A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms (2019)A Thematic Exploration of Digital, Social Media, and Mobile Marketing: Research Evolution from 2000 to 2015 and an Agenda for Future Inquiry (2016)Toward a theory of customer engagement marketing (2016)Digital entrepreneurship (2018)Optimising Customer Segmentation in Digital Marketing Using Predictive Analytics: A Review of Literature (2023)Decision support systems and intelligent systems (1997)A literature review on the application of evolutionary computing to credit scoring (2012)A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment (2021)Applied Economic Forecasting (1967)Empirical exchange rate models of the seventies (1983)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Regression neural network for error correction in foreign exchange forecasting and trading (2003)Improving forecasts of GARCH family models with the artificial neural networks: An application to the daily returns in Istanbul Stock Exchange (2008)Can China achieve its 2030 carbon emissions commitment? Scenario analysis based on an improved general regression neural network (2019)
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  • 2000Forecasting exchange rates using general regression neural networks230 cited
  • 2012Intellectual capital and corporate performance in Iranian pharmaceutical industry193 cited
  • 2009Multiple classifier application to credit risk assessment166 cited
  • 2010Vertical bagging decision trees model for credit scoring163 cited
  • 2005Two-stage genetic programming (2SGP) for the credit scoring model163 cited
  • 2005The evaluation of consumer loans using support vector machines135 cited
  • 2008Consumer credit scoring models with limited data130 cited
  • 2007A practical approach to credit scoring126 cited
  • 2008Mining the customer credit using hybrid support vector machine technique122 cited
  • 2018Predicting customer quality in e-commerce social networks: a machine learning approach114 cited
  • 2009The Link Between Board Composition and Corporate Diversification in Australian Corporations102 cited
  • 2003Tourist market segmentation with linear and non-linear techniques100 cited
  • 2014Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors92 cited
  • 1995Household Insolvency92 cited

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  • 2015A new dynamic modeling framework for credit risk assessment82 cited
  • 2010Credit Scoring Models using Soft Computing Methods: A Survey77 cited