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Using Gaussian process based kernel classifiers for credit rating forecasting
8 references·3 citing·44 second hop
Using Gaussian process based kernel classifiers for credit rating forecasting (2011)Using Gaussian process based kernel class…Chaos-based support vector regressions for exchange rate forecasting (2010)Chaos-based support vector re…Integrating GA-based time-scale feature extractions with SVMs for stock index forecasting (2007)Integrating GA-based time-sca…PHAB scores: proportional hazards analysis behavioural scores (2001)PHAB scores: proportional haz…Neural network credit scoring models (2000)Neural network credit scoring…Credit scoring using neural and evolutionary techniques (2000)Credit scoring using neural a…Construction of a k-nearest-neighbour credit-scoring system (1997)Construction of a k-nearest-n…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…A credit scoring model for personal loans (1989)A credit scoring model for pe…Is COVID-19 reflected in AnaCredit dataset? A big data - machine learning approach for analysing behavioural patterns using loan level granular information (2023)Is COVID-19 reflected in AnaC…Would two-stage scoring models alleviate bank exposure to bad debt? (2019)Would two-stage scoring model…Credit Rating Forecasting Using Machine Learning Techniques (2019)Credit Rating Forecasting Usi…Generalized autoregressive conditional heteroskedasticity (1986)Application of support vector machines in financial time series forecasting (2001)An Introduction to Wavelets and Other Filtering Methods in Finance and Economics (2002)Incorporating Markov decision process on genetic algorithms to formulate trading strategies for stock markets (2016)Intelligent forecasting model of stock price using neighborhood rough set and multivariate empirical mode decomposition (2023)Using Social Network Sentiment Analysis and Genetic Algorithm to Improve the Stock Prediction Accuracy of the Deep Learning-Based Approach (2023)A Stochastic Approximation Method (1951)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)A comparative assessment of ensemble learning for credit scoring (2010)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Nonlinear Dynamics and Stock Returns (1989)Neural Network Models for Time Series Forecasts (1996)Financial time series forecasting using support vector machines (2003)Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms—Support vector regression forecast combinations (2015)Soft computing hybrids for FOREX rate prediction: A comprehensive review (2018)Support vector regression with modified firefly algorithm for stock price forecasting (2018)Modeling Term Structures of Defaultable Bonds (1999)Not if but When will Borrowers Default (1999)Survival Analysis Methods for Personal Loan Data (2002)Consumer finance: challenges for operational research (2009)Credit scoring for profitability objectives (2009)Time Varying and Dynamic Models for Default Risk in Consumer Loans (2009)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)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 scoring with a data mining approach based on support vector machines (2006)Variable Selection for Gaussian Process Models in Computer Experiments (2006)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Application of Deep Neural Networks to assess corporate Credit Rating (2020)Machine learning in corporate credit rating assessment using the expanded audit report (2022)Prediction of corporate credit ratings with machine learning: Simple interpretative models (2023)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)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)The consumer loan default predicting model – An application of DEA–DA and neural network (2009)A hybrid approach to integrate genetic algorithm into dual scoring model in enhancing the performance of credit scoring model (2011)Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection (2011)
this work references cited by second hop

References

  • 2000Neural network credit scoring models1,032 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 2000Credit scoring using neural and evolutionary techniques151 cited
  • 1989A credit scoring model for personal loans148 cited
  • 2010Chaos-based support vector regressions for exchange rate forecasting119 cited
  • 1997Construction of a k-nearest-neighbour credit-scoring system96 cited
  • 2001PHAB scores: proportional hazards analysis behavioural scores73 cited
  • 2007Integrating GA-based time-scale feature extractions with SVMs for stock index forecasting71 cited

Cited by

  • 2019Credit Rating Forecasting Using Machine Learning Techniques29 cited
  • 2023Is COVID-19 reflected in AnaCredit dataset? A big data - machine learning approach for analysing behavioural patterns using loan level granular information18 cited
  • 2019Would two-stage scoring models alleviate bank exposure to bad debt?17 cited

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