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Comparison of the primitive classifiers with Extreme Learning Machine in credit scoring
6 references·0 citing·23 second hop
Comparison of the primitive classifiers with Extreme Learning Machine in credit scoring (2009)Comparison of the primitive classifiers w…Mining the customer credit using hybrid support vector machine technique (2008)Mining the customer credit us…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…Support vector machines for classifying and describing credit applicants: detecting typical and critical regions (2005)Support vector machines for c…A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)A two-stage hybrid credit sco…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Construction of a k-nearest-neighbour credit-scoring system (1997)Construction of a k-nearest-n…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)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)Neural network credit scoring models (2000)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Adaptive credit scoring with kernel learning methods (2007)Prediction model building with clustering-launched classification and support vector machines in credit scoring (2008)Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection (2011)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Machine behaviour (2019)Credit scoring using support vector machines with direct search for parameters selection (2008)Credit rating prediction using Ant Colony Optimization (2009)Fair-AdaBoost: Extending AdaBoost method to achieve fair classification (2022)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)
this work references cited by second hop

References

  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines389 cited
  • 2008Mining the customer credit using hybrid support vector machine technique122 cited
  • 2005Support vector machines for classifying and describing credit applicants: detecting typical and critical regions111 cited
  • 1997Construction of a k-nearest-neighbour credit-scoring system96 cited

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