Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods
Credit risk assessment is a crucial element in credit risk management. With the extensive
research on consumer credit risk assessment in recent decades, the abundance of literature …
research on consumer credit risk assessment in recent decades, the abundance of literature …
Credit scoring, statistical techniques and evaluation criteria: a review of the literature
HA Abdou, J Pointon - Intelligent systems in accounting …, 2011 - Wiley Online Library
Credit scoring has been regarded as a core appraisal tool of different institutions during the
last few decades and has been widely investigated in different areas, such as finance and …
last few decades and has been widely investigated in different areas, such as finance and …
Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research
Many years have passed since Baesens et al. published their benchmarking study of
classification algorithms in credit scoring [Baesens, B., Van Gestel, T., Viaene, S …
classification algorithms in credit scoring [Baesens, B., Van Gestel, T., Viaene, S …
Classification methods applied to credit scoring: Systematic review and overall comparison
The need for controlling and effectively managing credit risk has led financial institutions to
excel in improving techniques designed for this purpose, resulting in the development of …
excel in improving techniques designed for this purpose, resulting in the development of …
An explainable AI decision-support-system to automate loan underwriting
Widespread adoption of automated decision making by artificial intelligence (AI) is
witnessed due to specular advances in computation power and improvements in …
witnessed due to specular advances in computation power and improvements in …
An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit …
S Akkoç - European Journal of Operational Research, 2012 - Elsevier
The number of Non-Performing Loans has increased in recent years, paralleling the current
financial crisis, thus increasing the importance of credit scoring models. This study proposes …
financial crisis, thus increasing the importance of credit scoring models. This study proposes …
Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS)
During the last years, hybrid models have proven to be a promising approach for the design
of classification systems for the forecasting of bankruptcy. In the present research we …
of classification systems for the forecasting of bankruptcy. In the present research we …
Vertical bagging decision trees model for credit scoring
In recent years, more and more people, especially young people, begin to use credit card
with the changing of consumption concept in China so that the business on credit cards is …
with the changing of consumption concept in China so that the business on credit cards is …
[HTML][HTML] Machine learning interpretability for a stress scenario generation in credit scoring based on counterfactuals
AC Bueff, M Cytryński, R Calabrese, M Jones… - Expert Systems with …, 2022 - Elsevier
To boost the application of machine learning (ML) techniques for credit scoring models, the
blackbox problem should be addressed. The primary aim of this paper is to propose a …
blackbox problem should be addressed. The primary aim of this paper is to propose a …
An artificial intelligence system for predicting customer default in e-commerce
The growing number of e-commerce orders is leading to increased risk management to
prevent default in payment. Default in payment is the failure of a customer to settle a bill …
prevent default in payment. Default in payment is the failure of a customer to settle a bill …