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Bio-Inspired Credit Risk Analysis: Computational Intelligence with Support Vector Machines
6 references·4 citing·52 second hop
Bio-Inspired Credit Risk Analysis: Computational Intelligence with Support Vector Machines (2008)Bio-Inspired Credit Risk Analysis: Comput…Credit risk assessment with a multistage neural network ensemble learning approach (2007)Credit risk assessment with a…An integrated data preparation scheme for neural network data analysis (2006)An integrated data preparatio…A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates (2004)A novel nonlinear ensemble fo…An Integrated Group Decision-Making Method Dealing with Fuzzy Preferences for Alternatives and Individual Judgments for Selection Criteria (2003)An Integrated Group Decision-…Credit scoring using neural and evolutionary techniques (2000)Credit scoring using neural a…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…Application of Artificial Intelligence (Artificial Neural Network) to Assess Credit Risk: A Predictive Model For Credit Card Scoring (2015)Application of Artificial Int…Enhancing investment decisions in P2P lending (2011)Enhancing investment decision…Credit risk evaluation with kernel-based affine subspace nearest points learning method (2010)Credit risk evaluation with k…A MODIFIED LEAST SQUARES SUPPORT VECTOR MACHINE CLASSIFIER WITH APPLICATION TO CREDIT RISK ANALYSIS (2009)A MODIFIED LEAST SQUARES SUPP…Managing Credit Risk:The Next Great Financial Challenge (1998)Value At Risk: The New Benchmark for Managing Financial Risk (2000)Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring (2005)ASSESSING THE VULNERABILITY TO FAILURE OF AMERICAN INDUSTRIAL FIRMS: A LOGISTIC ANALYSIS (1985)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)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)Stock market index prediction using artificial neural network (2016)A deep learning ensemble approach for crude oil price forecasting (2017)Fuzzy sets (1965)Fuzzy sets (1996)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)An attitude-driven web consensus support system for heterogeneous group decision making (2012)Heterogeneous multiple criteria group decision making with incomplete weight information: A deviation modeling approach (2014)Improving the benefits and costs on sustainable supply chain finance under uncertainty (2019)The Cost of Capital, Corporation Finance and the Theory of Investment (1958)Portfolio Selection: Efficient Diversification of Investments. (1962)The cost of capital, corporation finance and the theory of investment (2008)Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management (2014)A decision support model for investment on P2P lending platform (2017)Financial Ratios As Predictors of Failure (1966)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Limited-dependent and qualitative variables in econometrics (1983)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? (2008)In Search of Distress Risk (2008)A comparison of neural networks and linear scoring models in the credit union environment (1996)Credit-scoring models in the credit-union environment using neural networks and genetic algorithms (1997)A survey of the issues in consumer credit modelling research (2005)A credit scoring model for Vietnam's retail banking market (2007)A literature review on the application of evolutionary computing to credit scoring (2012)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)THE RESEARCH TREND OF INFORMATION TECHNOLOGY AND DECISION MAKING IN 2009 (2010)IMPROVED AHP-GROUP DECISION MAKING FOR INVESTMENT STRATEGY SELECTION (2012)A novel dual-weighted fuzzy proximal support vector machine with application to credit risk analysis (2020)BUSINESS RESEARCH METHODS (PHƯƠNG PHÁP NGHIÊN CỨU TRONG KINH DOANH) (2023)The Combination of Forecasts (1969)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)An investigation and comparison of artificial neural network and time series models for Chinese food grain price forecasting (2007)Bitcoin price forecasting with neuro-fuzzy techniques (2019)Hybrid structures in time series modeling and forecasting: A review (2019)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)A Double-Stage Genetic Optimization Algorithm for Portfolio Selection (2006)Bio-Inspired Credit Risk Analysis (2008)Genetic algorithm-based multi-criteria project portfolio selection (2010)Evaluating consumer loans using neural networks (2003)Support vector machines for credit scoring and discovery of significant features (2008)Credit Analysis Using Data Mining: Application in the Case of a Credit Union (2014)
this work references cited by second hop

References

  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 2007Credit risk assessment with a multistage neural network ensemble learning approach310 cited
  • 2004A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates259 cited
  • 2000Credit scoring using neural and evolutionary techniques151 cited
  • 2006An integrated data preparation scheme for neural network data analysis138 cited
  • 2003An Integrated Group Decision-Making Method Dealing with Fuzzy Preferences for Alternatives and Individual Judgments for Selection Criteria129 cited

Cited by

  • 2011Enhancing investment decisions in P2P lending40 cited
  • 2009A MODIFIED LEAST SQUARES SUPPORT VECTOR MACHINE CLASSIFIER WITH APPLICATION TO CREDIT RISK ANALYSIS37 cited
  • 2010Credit risk evaluation with kernel-based affine subspace nearest points learning method29 cited
  • 2015Application of Artificial Intelligence (Artificial Neural Network) to Assess Credit Risk: A Predictive Model For Credit Card Scoring17 cited

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