Machine learning techniques for credit risk evaluation: a systematic literature review
Credit risk is the risk of financial loss when a borrower fails to meet the financial commitment.
While there are many factors that constitute credit risk, due diligence while giving loan (credit …
While there are many factors that constitute credit risk, due diligence while giving loan (credit …
Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and application
As a crucial role in the prognostic and health management of mechanical equipment, fault
diagnosis encounters serious challenges, such as the scarcity of fault samples, the high cost …
diagnosis encounters serious challenges, such as the scarcity of fault samples, the high cost …
Privacy and security issues in deep learning: A survey
Deep Learning (DL) algorithms based on artificial neural networks have achieved
remarkable success and are being extensively applied in a variety of application domains …
remarkable success and are being extensively applied in a variety of application domains …
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 …
[HTML][HTML] Stock market index prediction using artificial neural network
AH Moghaddam, MH Moghaddam… - Journal of Economics …, 2016 - Elsevier
In this study the ability of artificial neural network (ANN) in forecasting the daily NASDAQ
stock exchange rate was investigated. Several feed forward ANNs that were trained by the …
stock exchange rate was investigated. Several feed forward ANNs that were trained by the …
A deep learning ensemble approach for crude oil price forecasting
As crude oil price is influenced by numerous factors, capturing its behavior precisely is quite
challenging, and thus leads to the difficulty of forecasting. In this study, a deep learning …
challenging, and thus leads to the difficulty of forecasting. In this study, a deep learning …
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 …
A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems
A Bahrammirzaee - Neural Computing and Applications, 2010 - Springer
Nowadays, many current real financial applications have nonlinear and uncertain behaviors
which change across the time. Therefore, the need to solve highly nonlinear, time variant …
which change across the time. Therefore, the need to solve highly nonlinear, time variant …
A comparative assessment of ensemble learning for credit scoring
G Wang, J Hao, J Ma, H Jiang - Expert systems with applications, 2011 - Elsevier
Both statistical techniques and Artificial Intelligence (AI) techniques have been explored for
credit scoring, an important finance activity. Although there are no consistent conclusions on …
credit scoring, an important finance activity. Although there are no consistent conclusions on …
Classifiers consensus system approach for credit scoring
M Ala'raj, MF Abbod - Knowledge-Based Systems, 2016 - Elsevier
Banks take great care when dealing with customer loans to avoid any improper decisions
that can lead to loss of opportunity or financial losses. Regarding this, researchers have …
that can lead to loss of opportunity or financial losses. Regarding this, researchers have …