Utilization of artificial intelligence in the banking sector: A systematic literature review
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 (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 …
of artificial intelligence (AI) and computing power's evolution in their application to finance …
Artificial intelligence in business and economics research: Trends and future
Artificial Intelligence is a disruptive technology developed during the 20th century, which has
undergone an accelerated evolution, underpinning solutions to complex problems in the …
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 …
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) …
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 …
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
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 …
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 …
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 …
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 …
based classifiers have been seldom utilized as components of ensemble models. Moreover …