Forecasting in financial accounting with artificial intelligence–A systematic literature review and future research agenda
M Kureljusic, E Karger - Journal of Applied Accounting Research, 2023 - emerald.com
Purpose Accounting information systems are mainly rule-based, and data are usually
available and well-structured. However, many accounting systems are yet to catch up with …
available and well-structured. However, many accounting systems are yet to catch up with …
Emerging trends in deep learning for credit scoring: A review
Y Hayashi - Electronics, 2022 - mdpi.com
This systematic review aims to provide deep insights on emerging trends in, and the
potential of, advanced deep learning techniques, such as machine learning algorithms …
potential of, advanced deep learning techniques, such as machine learning algorithms …
Forecasting SMEs' credit risk in supply chain finance with a sampling strategy based on machine learning techniques
Exploring the value of multi-source information fusion to predict small and medium-sized
enterprises'(SMEs) credit risk in supply chain finance (SCF) is a popular yet challenging …
enterprises'(SMEs) credit risk in supply chain finance (SCF) is a popular yet challenging …
An intelligent payment card fraud detection system
Payment cards offer a simple and convenient method for making purchases. Owing to the
increase in the usage of payment cards, especially in online purchases, fraud cases are on …
increase in the usage of payment cards, especially in online purchases, fraud cases are on …
[HTML][HTML] A two-stage credit scoring model based on random forest: Evidence from Chinese small firms
Y Zhou, L Shen, L Ballester - International Review of Financial Analysis, 2023 - Elsevier
Small firms are major contributors to most economies, often supported by government
policies. However, the credit scoring of small firms is complicated and costly, making it a …
policies. However, the credit scoring of small firms is complicated and costly, making it a …
Credit risk classification: an integrated predictive accuracy algorithm using artificial and deep neural networks
M Mahbobi, S Kimiagari, M Vasudevan - Annals of Operations Research, 2023 - Springer
This study utilizes classification models to provide a robust algorithm for imbalanced data
where the minority class is of the interest, that is, in the context of default payments. In …
where the minority class is of the interest, that is, in the context of default payments. In …
AIS research opportunities utilizing Machine Learning: From a Meta-Theory of accounting literature
Abstract We use Accounting Information Systems (AIS) meta-theory to develop a framework
for analyzing and using machine learning in accounting research, emphasizing 1) specific …
for analyzing and using machine learning in accounting research, emphasizing 1) specific …
[HTML][HTML] A new representation learning approach for credit data analysis
Abstract Representation learning has an important impact on the performance of machine
learning methods and has been used to solve many distribution problems for numerous …
learning methods and has been used to solve many distribution problems for numerous …
A recent review on optimisation methods applied to credit scoring models
A recent review on optimisation methods applied to credit scoring models | Emerald Insight
Books and journals Case studies Expert Briefings Open Access Publish with us Advanced …
Books and journals Case studies Expert Briefings Open Access Publish with us Advanced …
A comprehensive decision support approach for credit scoring
C Luo - Industrial Management & Data Systems, 2020 - emerald.com
Purpose The purpose of this paper is to provide a comprehensive decision support
approach in credit risk assessment. Design/methodology/approach A comprehensive …
approach in credit risk assessment. Design/methodology/approach A comprehensive …