SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Credit card default prediction using ML and DL techniques
9 references·0 citing·42 second hop
Credit card default prediction using ML and DL techniques (2024)Credit card default prediction using ML a…An investigation of cyber attack impact on consumers’ intention to purchase online (2023)An investigation of cyber att…Research on Default Prediction for Credit Card Users Based on XGBoost-LSTM Model (2021)Research on Default Predictio…Research on Credit Card Default Prediction Based on k-Means SMOTE and BP Neural Network (2021)Research on Credit Card Defau…Artificial neural network technique for improving prediction of credit card default: A stacked sparse autoencoder approach (2021)Artificial neural network tec…Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods (2020)Data Science in Economics: Co…Evaluation of CART, CHAID, and QUEST algorithms: a case study of construction defects in Taiwan (2019)Evaluation of CART, CHAID, an…Estimation Procedures of Using Five Alternative Machine Learning Methods for Predicting Credit Card Default (2019)Estimation Procedures of Usin…Predicting credit card delinquencies: An application of deep neural networks (2018)Predicting credit card delinq…Credit Card Default Prediction using Machine Learning Techniques (2018)Credit Card Default Predictio…Decision support systems and intelligent systems (1997)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms (2019)Artificial intelligence in customer-facing financial services: a systematic literature review and agenda for future research (2021)Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis (2024)Using data mining to improve assessment of credit worthiness via credit scoring models (2011)Defining architecture components of the Big Data Ecosystem (2014)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Predicting Credit Card Defaults with Machine Learning Algorithm Using Customer Database (2023)Interpretable Machine Learning Models for Credit Risk Assessment (2024)The role of project management in achieving project success (1996)Project Success: A Multidimensional Strategic Concept (2001)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms (2022)Customer Churn Prediction in Telecommunication Industry Using Classification and Regression Trees and Artificial Neural Network Algorithms (2022)Maritime security threats: Classifying and associating patterns in piracy and armed robbery incidents (2025)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Financial econometrics, mathematics, statistics, and financial technology: an overall view (2020)Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps (2025)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (2009)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)Deep learning with long short-term memory networks for financial market predictions (2017)Deep Learning for Stock Market Prediction (2020)Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022 (2023)Machine learning in business and finance: a literature review and research opportunities (2024)Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction (2017)Customer Personality Analysis for Churn Prediction Using Hybrid Ensemble Models and Class Balancing Techniques (2023)Internet Financial Credit Scoring Models Based on Deep Forest and Resampling Methods (2023)Consumer credit-risk models via machine-learning algorithms (2010)Credit Risk Analysis Using Machine and Deep Learning Models (2018)A CNN–LSTM model for gold price time-series forecasting (2020)Accuracy Comparison Between Feedforward Neural Network, Support Vector Machine and Boosting Ensembles for Financial Risk Evaluation (2025)Loan Default Prediction Using Machine Learning Algorithms (2025)Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions (1995)What Trust Means in E-Commerce Customer Relationships: An Interdisciplinary Conceptual Typology (2001)Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services (2004)Baseline Modeling for Early Prediction of Loan Approval System (2023)Analysis of market risk volatility and warning in carbon trading market (2024)Novel embedding model predicting the credit card's default using neural network optimized by harmony search algorithm and vortex search algorithm (2024)
this work references cited by second hop

References

  • 2020Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods177 cited
  • 2019Evaluation of CART, CHAID, and QUEST algorithms: a case study of construction defects in Taiwan100 cited
  • 2021Artificial neural network technique for improving prediction of credit card default: A stacked sparse autoencoder approach70 cited
  • 2018Predicting credit card delinquencies: An application of deep neural networks60 cited
  • 2018Credit Card Default Prediction using Machine Learning Techniques42 cited
  • 2021Research on Default Prediction for Credit Card Users Based on XGBoost-LSTM Model35 cited
  • 2019Estimation Procedures of Using Five Alternative Machine Learning Methods for Predicting Credit Card Default25 cited
  • 2021Research on Credit Card Default Prediction Based on k-Means SMOTE and BP Neural Network25 cited
  • 2023An investigation of cyber attack impact on consumers’ intention to purchase online22 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