SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Credit Risk Prediction using Ensemble Machine Learning Algorithms
8 references·0 citing·40 second hop
Credit Risk Prediction using Ensemble Machine Learning Algorithms (2023)Credit Risk Prediction using Ensemble Mac…Assessing credit risk of commercial customers using hybrid machine learning algorithms (2022)Assessing credit risk of comm…Financial Inclusion in Emerging Economies: The Application of Machine Learning and Artificial Intelligence in Credit Risk Assessment (2021)Financial Inclusion in Emergi…A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment (2021)A machine learning approach c…A Comparative Assessment of Credit Risk Model Based on Machine Learning ——a case study of bank loan data (2020)A Comparative Assessment of C…A benchmark of machine learning approaches for credit score prediction (2020)A benchmark of machine learni…Hybrid Model for Credit Risk Prediction: An Application of Neural Network Approaches (2019)Hybrid Model for Credit Risk …Credit Risk Prediction Based on Machine Learning Methods (2019)Credit Risk Prediction Based …Consumer credit-risk models via machine-learning algorithms (2010)Consumer credit-risk models v…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Neural network credit scoring models (2000)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)An optimized decomposition integration framework for carbon price prediction based on multi-factor two-stage feature dimension reduction (2022)Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by the grey wolf optimizer algorithm (2023)Integration of Artificial Intelligence Technology in Management Accounting Information System: An Empirical Study (2023)A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)Assessing Credit Card Applications Using Machine Learning (1987)Credit Risk Model Based on Central Bank Credit Registry Data (2021)Comprehensive review of different artificial intelligence-based methods for credit risk assessment in data science (2023)Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art (2024)Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending (2014)Instance-based credit risk assessment for investment decisions in P2P lending (2015)Risk assessment in social lending via random forests (2015)Measuring the model risk-adjusted performance of machine learning algorithms in credit default prediction (2022)Algorithmic discrimination in the credit domain: what do we know about it? (2023)Machine Learning for Credit Risk Prediction: A Systematic Literature Review (2023)The Measurement of Observer Agreement for Categorical Data (1977)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Counterfactual Fairness (2017)On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services (2018)Empirical Asset Pricing via Machine Learning (2020)A scaling method for priorities in hierarchical structures (1977)The analytic hierarchy process : planning, priority setting, resource allocation (1980)A note on the analysis of subjective judgment matrices (1985)Credit scoring methods: Latest trends and points to consider (2022)Deep neural networks with L1 and L2 regularization for high dimensional corporate credit risk prediction (2022)Prediction of bank credit worthiness through credit risk analysis: an explainable machine learning study (2024)The Market for "Lemons": Quality Uncertainty and the Market Mechanism (1970)Job Market Signaling (1973)Credit Rationing in Markets with Imperfect Information (1981)The role of financial inclusion and FinTech in addressing climate-related challenges in the industry 4.0: Lessons for sustainable development goals (2022)AI in credit scoring: A comprehensive review of models and predictive analytics (2024)Fintech innovation: Is it beneficial or detrimental to financial inclusion and financial stability? A systematic literature review and research directions (2024)A more complete conceptual framework for SME finance (2006)Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)Exploitation of Machine Learning Algorithms for Detecting Financial Crimes Based on Customers’ Behavior (2022)FAIR: Fair adversarial instance re-weighting (2022)Effective Credit Risk Prediction Using Ensemble Classifiers With Model Explanation (2024)
this work references cited by second hop

References

  • 2010Consumer credit-risk models via machine-learning algorithms861 cited
  • 2021Financial Inclusion in Emerging Economies: The Application of Machine Learning and Artificial Intelligence in Credit Risk Assessment255 cited
  • 2020A benchmark of machine learning approaches for credit score prediction253 cited
  • 2022Assessing credit risk of commercial customers using hybrid machine learning algorithms130 cited
  • 2020A Comparative Assessment of Credit Risk Model Based on Machine Learning ——a case study of bank loan data124 cited
  • 2021A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment115 cited
  • 2019Credit Risk Prediction Based on Machine Learning Methods51 cited
  • 2019Hybrid Model for Credit Risk Prediction: An Application of Neural Network Approaches47 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work