Data availability and accessibility have brought in unseen changes in the finance systems
and new theoretical and computational challenges. For example, in contrast to classical …

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 …

The recent developments of deep learning support the identification and classification of
lung diseases in medical images. Hence, numerous work on the detection of lung disease …

Imbalanced classification on bankruptcy prediction is considered as one of the most
important topics in financial institutions. In this context, various statistical and artificial …

We set out in this study to review a vast amount of recent literature on machine learning (ML)
approaches to predicting financial distress (FD), including supervised, unsupervised and …

One of the most crucial problems in the field of business is financial forecasting. Many
companies are interested in forecasting their incoming financial status in order to adapt to …

Bankruptcy prediction is considered as one of the vital topics in finance and accounting. The
purpose of predicting bankruptcy is to build a predictive model that combines several …

This study aims to comprehensively review a recently emerging multidisciplinary area
related to the application of deep learning methods in cryptocurrency research. We first …

In this paper, a hybrid deep belief network is proposed to diagnose single and combined
faults of suction and discharge valves in a reciprocating compressor. This hybrid integrates …

The majority of studies in financial distress prediction primarily focus on accuracy as the
main evaluation metric, often resulting in biased predictive performance towards the majority …