AI in finance refers to the applications of AI techniques in financial businesses. This area has
attracted attention for decades, with both classic and modern AI techniques applied to …

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 …

This paper studies P2P lending and the factors explaining loan default. This is an important
issue because in P2P lending individual investors bear the credit risk, instead of financial …

To avoid the complexity and time consumption of traditional statistical and mathematical
programming, intelligent techniques have gained great attention in different financial …

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 …

This paper analyzes recent literature in the search for trends in business intelligence
applications for the banking industry. Searches were performed in relevant journals resulting …

It is important to manage operational disruptions to ensure the success of supply chain
operations. To achieve this aim, researchers have developed techniques that determine the …

Abstract Multi-Layer Perceptron (MLP) neural networks are widely used in automatic credit
scoring systems with high accuracy and efficiency. This paper presents a higher accuracy …

This paper uses a multidimensional descriptive analysis to familiarize the reader with the
extent of penetration of big data, artificial intelligence (AI) and machine learning (ML) …

Credit risk evaluation is always the most important factor in determining Customers' credit
status in financial institutions. Multi-Attribute Decision-Making (MADM) methods have been …