Deep learning for financial applications: A survey
Computational intelligence in finance has been a very popular topic for both academia and
financial industry in the last few decades. Numerous studies have been published resulting …
financial industry in the last few decades. Numerous studies have been published resulting …
Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches
As a hot topic, financial distress prediction (FDP), or called as corporate failure prediction,
bankruptcy prediction, acts as an important role in decision-making of various areas …
bankruptcy prediction, acts as an important role in decision-making of various areas …
A survey of multiple classifier systems as hybrid systems
A current focus of intense research in pattern classification is the combination of several
classifier systems, which can be built following either the same or different models and/or …
classifier systems, which can be built following either the same or different models and/or …
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 …
Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey
MD Fethi, F Pasiouras - European journal of operational research, 2010 - Elsevier
This paper presents a comprehensive review of 196 studies which employ operational
research (OR) and artificial intelligence (AI) techniques in the assessment of bank …
research (OR) and artificial intelligence (AI) techniques in the assessment of bank …
Machine learning in financial crisis prediction: a survey
WY Lin, YH Hu, CF Tsai - IEEE Transactions on Systems, Man …, 2011 - ieeexplore.ieee.org
For financial institutions, the ability to predict or forecast business failures is crucial, as
incorrect decisions can have direct financial consequences. Bankruptcy prediction and …
incorrect decisions can have direct financial consequences. Bankruptcy prediction and …
Financial credit risk assessment: a recent review
N Chen, B Ribeiro, A Chen - Artificial Intelligence Review, 2016 - Springer
The assessment of financial credit risk is an important and challenging research topic in the
area of accounting and finance. Numerous efforts have been devoted into this field since the …
area of accounting and finance. Numerous efforts have been devoted into this field since the …
Predicting solutions of large-scale optimization problems via machine learning: A case study in blood supply chain management
Practical constrained optimization models are often large, and solving them in a reasonable
time is a challenge in many applications. Further, many industries have limited access to …
time is a challenge in many applications. Further, many industries have limited access to …
Fuzzy performance evaluation in Turkish banking sector using analytic hierarchy process and TOPSIS
The performance evaluation of banks has important results for creditors, investors and
stakeholders since it determines banks' capabilities to compete in the sector and has a …
stakeholders since it determines banks' capabilities to compete in the sector and has a …
Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble
Dynamic financial distress prediction (DFDP) is important for improving corporate financial
risk management. However, earlier studies ignore the time weight of samples when …
risk management. However, earlier studies ignore the time weight of samples when …