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 …

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 …

Forecasting SMEs' credit risk in supply chain finance with a sampling strategy based on machine learning techniques

L Wang, F Jia, L Chen, Q Xu - Annals of Operations Research, 2023 - Springer
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 …

An intelligent payment card fraud detection system

M Seera, CP Lim, A Kumar, L Dhamotharan… - Annals of operations …, 2024 - Springer
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 …

[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 …

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 …

AIS research opportunities utilizing Machine Learning: From a Meta-Theory of accounting literature

A Booker, V Chiu, N Groff, VJ Richardson - International Journal of …, 2024 - Elsevier
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 …

[HTML][HTML] A new representation learning approach for credit data analysis

T Li, G Kou, Y Peng - Information Sciences, 2023 - Elsevier
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 …

A recent review on optimisation methods applied to credit scoring models

ES Kamimura, ARF Pinto, MS Nagano - Journal of Economics …, 2023 - emerald.com
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 …

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 …