SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Multimodel Integrated Enterprise Credit Evaluation Method Based on Attention Mechanism
12 references·2 citing·48 second hop
Multimodel Integrated Enterprise Credit Evaluation Method Based on Attention Mechanism (2022)Multimodel Integrated Enterprise Credit E…A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment (2021)A machine learning approach c…New hybrid data mining model for credit scoring based on feature selection algorithm and ensemble classifiers (2020)New hybrid data mining model …Credit Risk Assessment based on Gradient Boosting Decision Tree (2020)Credit Risk Assessment based …A two-stage fuzzy neural approach for credit risk assessment in a Brazilian credit card company (2020)A two-stage fuzzy neural appr…A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique (2020)A new deep learning ensemble …A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees (2020)A comparative study of foreca…2-stage modified random forest model for credit risk assessment of P2P network lending to “Three Rurals” borrowers (2020)2-stage modified random fores…Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach (2019)Forecasting SMEs' credit risk…A Bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment (2019)A Bolasso based consistent fe…Enterprise credit risk evaluation based on neural network algorithm (2018)Enterprise credit risk evalua…Credit Risk Analysis Using Machine and Deep Learning Models (2018)Credit Risk Analysis Using Ma…A Deep Learning Approach for Credit Scoring of Peer-to-Peer Lending Using Attention Mechanism LSTM (2018)A Deep Learning Approach for …Practical insights into predicting defaults in small and medium-sized enterprises (2024)Practical insights into predi…Research on PPP Enterprise Credit Dynamic Prediction Model (2022)Research on PPP Enterprise Cr…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)Consumer credit-risk models via machine-learning algorithms (2010)Machine Learning in Banking Risk Management: A Literature Review (2019)Deep learning for credit scoring: Do or don’t? (2021)Corporate finance risk prediction based on LightGBM (2022)Credit risk assessment model for Jordanian commercial banks: Neural scoring approach (2014)Dynamic Credit Risk Evaluation Method for E-Commerce Sellers Based on a Hybrid Artificial Intelligence Model (2019)A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods (2021)Financial Distress Prediction for Small and Medium Enterprises Using Machine Learning Techniques (2021)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Fake news detection using deep learning models: A novel approach (2019)Deep learning in finance and banking: A literature review and classification (2020)Online peer-to-peer lending: A review of the literature (2021)Credit Rationing in Markets with Imperfect Information (1981)Neural network credit scoring models (2000)Perspectives in supply chain risk management (2006)Artificial intelligence in operations management and supply chain management: an exploratory case study (2021)Future of artificial intelligence and its influence on supply chain risk management – A systematic review (2022)AI integration in financial services: a systematic review of trends and regulatory challenges (2025)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Graph convolutional network-based credit default prediction utilizing three types of virtual distances among borrowers (2020)A decision support system for classifying supplier selection criteria using machine learning and random forest approach (2023)Financial time series forecasting using support vector machines (2003)Empirical Asset Pricing via Machine Learning (2020)A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network (2022)Credit risk evaluation using clustering based fuzzy classification method (2023)AI in credit scoring: A comprehensive review of models and predictive analytics (2024)A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)Customer churn prediction using improved balanced random forests (2008)Description-text related soft information in peer-to-peer lending – Evidence from two leading European platforms (2015)A sustainability evaluation framework for WET-PPP projects based on a picture fuzzy similarity-based VIKOR method (2020)A Comparative Study of Demand Forecasting Models for a Multi-Channel Retail Company: A Novel Hybrid Machine Learning Approach (2022)Energy demand forecasting in China: A support vector regression-compositional data second exponential smoothing model (2022)Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain (2022)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)Decision Tree and AHP Methods Application for Projects Assessment: A Case Study (2021)Machine Learning Models for Predicting Bank Loan Eligibility (2022)Credit Risk Prediction Using Machine Learning and Deep Learning: A Study on Credit Card Customers (2024)
this work references cited by second hop

References

  • 2019Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach387 cited
  • 2018Credit Risk Analysis Using Machine and Deep Learning Models318 cited
  • 2020A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique234 cited
  • 2019A Bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment211 cited
  • 2018A Deep Learning Approach for Credit Scoring of Peer-to-Peer Lending Using Attention Mechanism LSTM148 cited
  • 2020A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees123 cited
  • 2018Enterprise credit risk evaluation based on neural network algorithm120 cited
  • 2021A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment115 cited
  • 20202-stage modified random forest model for credit risk assessment of P2P network lending to “Three Rurals” borrowers97 cited
  • 2020Credit Risk Assessment based on Gradient Boosting Decision Tree94 cited
  • 2020New hybrid data mining model for credit scoring based on feature selection algorithm and ensemble classifiers83 cited
  • 2020A two-stage fuzzy neural approach for credit risk assessment in a Brazilian credit card company50 cited

Cited by

  • 2022

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

Research on PPP Enterprise Credit Dynamic Prediction Model
12 cited
  • 2024Practical insights into predicting defaults in small and medium-sized enterprises10 cited