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Multiple instance learning for credit risk assessment with transaction data
16 references·3 citing·51 second hop
Multiple instance learning for credit risk assessment with transaction data (2018)Multiple instance learning for credit ris…Cost-based feature selection for Support Vector Machines: An application in credit scoring (2017)Cost-based feature selection …A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)A boosted decision tree appro…A deep learning approach for credit scoring using credit default swaps (2016)A deep learning approach for …A new dynamic modeling framework for credit risk assessment (2015)A new dynamic modeling framew…Credit scoring using the clustered support vector machine (2014)Credit scoring using the clus…Quantitative credit risk assessment using support vector machines: Broad versus Narrow default definitions (2013)Quantitative credit risk asse…A window of opportunity: Assessing behavioural scoring (2012)A window of opportunity: Asse…Least squares support vector machines ensemble models for credit scoring (2009)Least squares support vector …Incorporating domain knowledge into data mining classifiers: An application in indirect lending (2008)Incorporating domain knowledg…Consumer credit scoring models with limited data (2008)Consumer credit scoring model…The evaluation of consumer loans using support vector machines (2005)The evaluation of consumer lo…Consumer credit scoring: Do situational circumstances matter? (2004)Consumer credit scoring: Do s…Evaluating consumer loans using neural networks (2003)Evaluating consumer loans usi…Credit scoring and rejected instances reassigning through evolutionary computation techniques (2003)Credit scoring and rejected i…Consumer credit scoring: Do situational circumstances matter? (2003)Consumer credit scoring: Do s…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)A survey of credit and behavi…Prioritizing real estate enterprises based on credit risk assessment: an integrated multi-criteria group decision support framework (2023)Prioritizing real estate ente…Multi-view representation learning with Kolmogorov-Smirnov to predict default based on imbalanced and complex dataset (2022)Multi-view representation lea…A new risk assessment method based on belief rule base and fault tree analysis (2021)A new risk assessment method …The Pricing of Options and Corporate Liabilities (1973)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)Recent developments in consumer credit risk assessment (2007)A comparative assessment of ensemble learning for credit scoring (2010)Decision support systems and intelligent systems (1997)An integrated data mining and behavioral scoring model for analyzing bank customers (2004)Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes (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)Applied Statistical Decision Theory (1962)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)A comparative study on base classifiers in ensemble methods for credit scoring (2016)Forecasting stock market crisis events using deep and statistical machine learning techniques (2018)Machine learning techniques for credit risk evaluation: a systematic literature review (2020)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)Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Neural network credit scoring models (2000)Hybrid mining approach in the design of credit scoring models (2005)An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (2007)Credit rating by hybrid machine learning techniques (2009)Credit Scoring and Its Applications (2002)Credit scoring with a data mining approach based on support vector machines (2006)A new hybrid ensemble credit scoring model based on classifiers consensus system approach (2016)Online big data-driven oil consumption forecasting with Google trends (2018)The ensemble approach to forecasting: A review and synthesis (2021)Dynamics of Modeling in Data Mining: Interpretive Approach to Bankruptcy Prediction (1999)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Neural network techniques for financial performance prediction: integrating fundamental and technical analysis (2003)CRM strategies for a small-sized online shopping mall based on association rules and sequential patterns (2012)Evaluation and aggregation of pay-as-you-drive insurance rate factors: A classification analysis approach (2013)Dynamics of firm financial evolution and bankruptcy prediction (2017)Support vector machines for credit scoring and discovery of significant features (2008)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Two-stage consumer credit risk modelling using heterogeneous ensemble learning (2019)How are reinforcement learning and deep learning algorithms used for big data based decision making in financial industries–A review and research agenda (2022)Machine learning-driven credit risk: a systemic review (2022)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)Forecasting gold price with the XGBoost algorithm and SHAP interaction values (2021)The Credit Scoring Toolkit (2007)Development and application of consumer credit scoring models using profit-based classification measures (2014)A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring (2018)A multi-objective approach for profit-driven feature selection in credit scoring (2019)A study on credit scoring modeling with different feature selection and machine learning approaches (2020)
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References

  • 2017A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring770 cited
  • 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
  • 2003Evaluating consumer loans using neural networks280 cited
  • 2014Credit scoring using the clustered support vector machine269 cited
  • 2003Credit scoring and rejected instances reassigning through evolutionary computation techniques226 cited
  • 2016A deep learning approach for credit scoring using credit default swaps196 cited
  • 2009Least squares support vector machines ensemble models for credit scoring159 cited
  • 2017Cost-based feature selection for Support Vector Machines: An application in credit scoring155 cited
  • 2008Incorporating domain knowledge into data mining classifiers: An application in indirect lending141 cited
  • 2005The evaluation of consumer loans using support vector machines135 cited
  • 2008Consumer credit scoring models with limited data130 cited
  • 2003Consumer credit scoring: Do situational circumstances matter?90 cited
  • 2013Quantitative credit risk assessment using support vector machines: Broad versus Narrow default definitions83 cited
  • 2015A new dynamic modeling framework for credit risk assessment82 cited

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  • 2004Consumer credit scoring: Do situational circumstances matter?71 cited
  • 2012A window of opportunity: Assessing behavioural scoring47 cited
  • Cited by

    • 2023Prioritizing real estate enterprises based on credit risk assessment: an integrated multi-criteria group decision support framework41 cited
    • 2022Multi-view representation learning with Kolmogorov-Smirnov to predict default based on imbalanced and complex dataset25 cited
    • 2021A new risk assessment method based on belief rule base and fault tree analysis20 cited