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Credit risk assessment mechanism of personal auto loan based on PSO-XGBoost Model
5 references·3 citing·41 second hop
Credit risk assessment mechanism of personal auto loan based on PSO-XGBoost Model (2022)Credit risk assessment mechanism of perso…Manufacturer’s online selling strategies under spillovers from online to offline sales (2022)Manufacturer’s online selling…A novel method for carbon emission forecasting based on Gompertz's law and fractional grey model: Evidence from American industrial sector (2021)A novel method for carbon emi…Optimal contract design in sustainable supply chain: Interactive impacts of fairness concern and overconfidence (2020)Optimal contract design in su…Combining Principal Component Analysis, Discrete Wavelet Transform and XGBoost to trade in the financial markets (2019)Combining Principal Component…Driving the poor into debt? Automobile loans, transport disadvantage, and automobile dependence (2017)Driving the poor into debt? A…Risk assessment of customer churn in telco using FCLCNN-LSTM model (2024)Risk assessment of customer c…Effective Credit Risk Prediction Using Ensemble Classifiers With Model Explanation (2024)Effective Credit Risk Predict…A spatial–temporal graph-based AI model for truck loan default prediction using large-scale GPS trajectory data (2024)A spatial–temporal graph-base…Sustainability and Cities: Overcoming Automobile Dependence (1999)Stress that Doesn't Pay: The Commuting Paradox* (2008)Transport and social exclusion: Where are we now? (2012)‘Forced Car Ownership’ in the UK and Germany: Socio-Spatial Patterns and Potential Economic Stress Impacts (2017)Can transit investments in low-income neighbourhoods increase transit use? Exploring the nexus of income, car-ownership, and transit accessibility in Toronto (2021)Freedom of choice? Social and spatial disparities on combined housing and transport affordability (2022)The Efficient Market Hypothesis and Its Critics (2003)Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Forecasting daily stock market return using dimensionality reduction (2016)Predicting the Direction of US Stock Prices Using Effective Transfer Entropy and Machine Learning Techniques (2020)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)Forecasting stock market for an efficient portfolio by combining XGBoost and Hilbert–Huang transform (2022)A Theory of Fairness, Competition, and Cooperation (1999)Fairness as a Constraint on Profit Seeking: Entitlements in the Market (2000)The trouble with overconfidence. (2008)Pricing strategies and profit coordination under a double echelon green supply chain (2020)Green investment in a sustainable supply chain: The role of blockchain and fairness (2022)Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil (2011)Grey system model with the fractional order accumulation (2012)Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model (2019)A Hybrid Model with Applying Machine Learning Algorithms and Optimization Model to Forecast Greenhouse Gas Emissions with Energy Market Data (2022)Industrial carbon emission forecasting considering external factors based on linear and machine learning models (2023)Carbon emission prediction models: A review (2024)Managing Channel Profits (1983)Direct Marketing, Indirect Profits: A Strategic Analysis of Dual-Channel Supply-Chain Design (2003)Agency Selling or Reselling? Channel Structures in Electronic Retailing (2015)Transportation planning for sustainable supply chain network using big data technology (2022)Data sharing between platform and seller: An analysis of contracts, privacy, and regulation (2023)Uncertainty Analysis and Optimization Modeling with Application to Supply Chain Management: A Systematic Review (2023)Turning telecommunications call details to churn prediction: a data mining approach (2002)Customer churn prediction using improved balanced random forests (2008)Customer churn prediction in telecom using machine learning in big data platform (2019)Intensified Customer Churn Prediction: Connectivity with Weighted Multi-Layer Perceptron and Enhanced Multipath Back Propagation (2024)Q-ensemble learning for customer churn prediction with blockchain-enabled data transparency (2024)Predicting customer loyalty in omnichannel retailing using purchase behavior, socio-cultural factors, and learning techniques (2025)Neural network credit scoring models (2000)Credit scoring with a data mining approach based on support vector machines (2006)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Two credit scoring models based on dual strategy ensemble trees (2011)Credit Risk Analysis Using Machine and Deep Learning Models (2018)A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique (2020)
this work references cited by second hop

References

  • 2019Combining Principal Component Analysis, Discrete Wavelet Transform and XGBoost to trade in the financial markets290 cited
  • 2021A novel method for carbon emission forecasting based on Gompertz's law and fractional grey model: Evidence from American industrial sector142 cited
  • 2020Optimal contract design in sustainable supply chain: Interactive impacts of fairness concern and overconfidence125 cited
  • 2022Manufacturer’s online selling strategies under spillovers from online to offline sales91 cited
  • 2017Driving the poor into debt? Automobile loans, transport disadvantage, and automobile dependence58 cited

Cited by

  • 2024Effective Credit Risk Prediction Using Ensemble Classifiers With Model Explanation34 cited
  • 2024Risk assessment of customer churn in telco using FCLCNN-LSTM model27 cited
  • 2024A spatial–temporal graph-based AI model for truck loan default prediction using large-scale GPS trajectory data18 cited

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