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Financial decision support using neural networks and support vector machines
10 references·16 citing·28 second hop
Financial decision support using neural networks and support vector machines (2008)Financial decision support using neural n…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)Mining the customer credit us…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Differentiating between good credits and bad credits using neuro-fuzzy systems (2002)Differentiating between good …Credit scoring using the hybrid neural discriminant technique (2002)Credit scoring using the hybr…Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…Selecting bankruptcy predictors using a support vector machine approach (2000)Selecting bankruptcy predicto…Neural network credit scoring models (2000)Neural network credit scoring…AI vision and machine learning for enhanced automation in food industry: A systematic review (2025)AI vision and machine learnin…Design of Digital and Intelligent Financial Decision Support System Based on Artificial Intelligence (2022)Design of Digital and Intelli…Analysing and forecasting co-movement between innovative and traditional financial assets based on complex network and machine learning (2022)Analysing and forecasting co-…A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance (2022)A Hybrid XGBoost-MLP Model fo…Financial distress prediction: Regularized sparse-based Random Subspace with ER aggregation rule incorporating textual disclosures (2020)Financial distress prediction…A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market (2019)A gradient boosting decision …Topological applications of multilayer perceptrons and support vector machines in financial decision support systems (2018)Topological applications of m…Swarm intelligence based classification rule induction (CRI) framework for qualitative and quantitative approach: An application of bankruptcy prediction and credit risk analysis (2017)Swarm intelligence based clas…Distressed Chinese firm prediction with discretized data (2017)Distressed Chinese firm predi…Predicting corporate financial distress using data mining techniques (2016)Predicting corporate financia…Classification methods applied to credit scoring: Systematic review and overall comparison (2016)Classification methods applie…An Effective Computational Model for Bankruptcy Prediction Using Kernel Extreme Learning Machine Approach (2016)An Effective Computational Mo…Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine (2014)Statistics-based wrapper for …Support Vector Machines for Prediction of Futures Prices in Indian Stock Market (2012)Support Vector Machines for P…Simple instance selection for bankruptcy prediction (2011)Simple instance selection for…A Meta‐learning Framework for Bankruptcy Prediction (2011)A Meta‐learning Framework for…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)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Credit scoring and rejected instances reassigning through evolutionary computation techniques (2003)Feature selection in bankruptcy prediction (2008)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)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Forecasting with artificial neural networks: (1998)Building credit scoring models using genetic programming (2005)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Machine Learning in Financial Crisis Prediction: A Survey (2011)A Discriminant Analysis of Predictors of Business Failure (1972)Credit scoring with a data mining approach based on support vector machines (2006)Consumer credit-risk models via machine-learning algorithms (2010)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)Comparative analysis of data mining methods for bankruptcy prediction (2011)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization (2006)Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time (2012)Credit rating with a monotonicity-constrained support vector machine model (2014)Computer assisted customer churn management: State-of-the-art and future trends (2005)
this work references cited by second hop

References

  • 2000Neural network credit scoring models1,032 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 2004Mining the customer credit using classification and regression tree and multivariate adaptive regression splines378 cited
  • 2002Credit scoring using the hybrid neural discriminant technique355 cited
  • 2004Neural network ensemble strategies for financial decision applications332 cited
  • 2002Differentiating between good credits and bad credits using neuro-fuzzy systems252 cited
  • 2000Selecting bankruptcy predictors using a support vector machine approach108 cited

Cited by

  • 2016An Effective Computational Model for Bankruptcy Prediction Using Kernel Extreme Learning Machine Approach82 cited
  • 2019A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market72 cited
  • 2022A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance71 cited

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2011
Simple instance selection for bankruptcy prediction
70 cited
  • 2016Classification methods applied to credit scoring: Systematic review and overall comparison68 cited
  • 2012Support Vector Machines for Prediction of Futures Prices in Indian Stock Market65 cited
  • 2014Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine63 cited
  • 2018Topological applications of multilayer perceptrons and support vector machines in financial decision support systems59 cited
  • 2020Financial distress prediction: Regularized sparse-based Random Subspace with ER aggregation rule incorporating textual disclosures57 cited
  • 2025AI vision and machine learning for enhanced automation in food industry: A systematic review50 cited
  • 2016Predicting corporate financial distress using data mining techniques40 cited
  • 2011A Meta‐learning Framework for Bankruptcy Prediction38 cited
  • 2017Distressed Chinese firm prediction with discretized data37 cited
  • 2017Swarm intelligence based classification rule induction (CRI) framework for qualitative and quantitative approach: An application of bankruptcy prediction and credit risk analysis37 cited
  • 2022Design of Digital and Intelligent Financial Decision Support System Based on Artificial Intelligence29 cited
  • 2022Analysing and forecasting co-movement between innovative and traditional financial assets based on complex network and machine learning28 cited