SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Research on Default Prediction for Credit Card Users Based on XGBoost-LSTM Model
6 references·0 citing·29 second hop
Research on Default Prediction for Credit Card Users Based on XGBoost-LSTM Model (2021)Research on Default Prediction for Credit…A Study on Forecasting the Default Risk of Bond Based on XGboost Algorithm and Over-Sampling Method (2021)A Study on Forecasting the De…A CNN–LSTM model for gold price time-series forecasting (2020)A CNN–LSTM model for gold pri…A study on predicting loan default based on the random forest algorithm (2019)A study on predicting loan de…Credit Risk Analysis Using Machine and Deep Learning Models (2018)Credit Risk Analysis Using Ma…Risk and Risk Management in the Credit Card Industry (2015)Risk and Risk Management in t…Consumer credit-risk models via machine-learning algorithms (2010)Consumer credit-risk models v…The Measurement of Observer Agreement for Categorical Data (1977)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Empirical Asset Pricing via Machine Learning (2018)Deep learning in finance and banking: A literature review and classification (2020)Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis (2024)The Estimation of the Lorenz Curve and Gini Index (1972)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Bayesian regularized artificial neural networks for the estimation of the probability of default (2019)Deep learning for credit scoring: Do or don’t? (2021)Corporate finance risk prediction based on LightGBM (2022)Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending (2014)Risk assessment in social lending via random forests (2015)Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning (2018)Loan default prediction using decision trees and random forest: A comparative study (2021)Prediction of Loan Behaviour with Machine Learning Models for Secure Banking (2022)What Is Quantitative Research? An Overview and Guidelines (2024)Is gold a safe haven? International evidence (2010)A CNN-BiLSTM-AM method for stock price prediction (2020)Stock price prediction using deep learning and frequency decomposition (2020)Cryptocurrency trading: a comprehensive survey (2022)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)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)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)The Pricing of Options and Corporate Liabilities (1973)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Robo-Sukuk pricing for Chinese equities (2022)XGBoost-Based E-Commerce Customer Loss Prediction (2022)
this work references cited by second hop

References

  • 2020A CNN–LSTM model for gold price time-series forecasting869 cited
  • 2010Consumer credit-risk models via machine-learning algorithms861 cited
  • 2018Credit Risk Analysis Using Machine and Deep Learning Models318 cited
  • 2015Risk and Risk Management in the Credit Card Industry260 cited
  • 2019A study on predicting loan default based on the random forest algorithm187 cited
  • 2021A Study on Forecasting the Default Risk of Bond Based on XGboost Algorithm and Over-Sampling Method38 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