Utilization of artificial intelligence in the banking sector: A systematic literature review

OH Fares, I Butt, SHM Lee - Journal of Financial Services …, 2022 - pmc.ncbi.nlm.nih.gov
This study provides a holistic and systematic review of the literature on the utilization of
artificial intelligence (AI) in the banking sector since 2005. In this study, the authors …

Artificial intelligence techniques in finance and financial markets: a survey of the literature

C Milana, A Ashta - Strategic Change, 2021 - Wiley Online Library
Both academic and nonacademic literature is evolving following the oscillating development
of artificial intelligence (AI) and computing power's evolution in their application to finance …

Artificial intelligence in business and economics research: Trends and future

JL Ruiz-Real, J Uribe-Toril, JA Torres… - Journal of Business …, 2021 - ijspm.vgtu.lt
Artificial Intelligence is a disruptive technology developed during the 20th century, which has
undergone an accelerated evolution, underpinning solutions to complex problems in the …

Data mining techniques and applications–A decade review from 2000 to 2011

SH Liao, PH Chu, PY Hsiao - Expert systems with applications, 2012 - Elsevier
In order to determine how data mining techniques (DMT) and their applications have
developed, during the past decade, this paper reviews data mining techniques and their …

Applications of artificial intelligence and machine learning in the financial services industry: A bibliometric review

D Pattnaik, S Ray, R Raman - Heliyon, 2024 - cell.com
This bibliometric review examines the research state of artificial intelligence (AI) and
machine learning (ML) applications in the BFSI (Banking, Financial Services and Insurance) …

Predicting credit risk in peer-to-peer lending: A neural network approach

A Byanjankar, M Heikkilä… - 2015 IEEE symposium …, 2015 - ieeexplore.ieee.org
Emergence of peer-to-peer lending has opened an appealing option for micro-financing and
is growing rapidly as an option in the financial industry. However, peer-to-peer lending …

[PDF][PDF] The effect of artificial intelligence on service quality and customer satisfaction in Jordanian banking sector

R Al-Araj, H Haddad, M Shehadeh, E Hasan… - … on Business and …, 2022 - wseas.com
The study emphasizes the importance of Artificial Intelligence (AI) and its applications on the
service quality provided by Jordanian banks for their customer satisfaction. This research …

Multi-classification assessment of bank personal credit risk based on multi-source information fusion

T Wang, R Liu, G Qi - Expert systems with applications, 2022 - Elsevier
There have been many studies on machine learning and data mining algorithms to improve
the effect of credit risk assessment. However, there are few methods that can meet its …

Exploring the behaviour of base classifiers in credit scoring ensembles

AI Marqués, V García, JS Sánchez - Expert systems with Applications, 2012 - Elsevier
Many techniques have been proposed for credit risk assessment, from statistical models to
artificial intelligence methods. During the last few years, different approaches to classifier …

A novel tree-based dynamic heterogeneous ensemble method for credit scoring

Y Xia, J Zhao, L He, Y Li, M Niu - Expert Systems with Applications, 2020 - Elsevier
Ensemble models have been extensively applied to credit scoring. However, advanced tree-
based classifiers have been seldom utilized as components of ensemble models. Moreover …