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 …

There is an increasing influence of machine learning in business applications, with many
solutions already implemented and many more being explored. Since the global financial …

Natural language processing (NLP), or the pragmatic research perspective of computational
linguistics, has become increasingly powerful due to data availability and various …

The emergence and continued reliance on the Internet and related technologies has
resulted in the generation of large amounts of data that can be made available for analyses …

In the past few decades, credit scoring has become an increasing concern for financial
institutions and is currently a popular topic of research. This study aims to generate a novel …

For the sake of credit risk assessment, credit scoring has become a critical tool to
discriminate “bad” applicants from “good” applicants for financial institutions. Accordingly, a …

In recent years, machine learning, especially deep learning, has developed rapidly and has
shown remarkable performance in many tasks of the smart grid field. The representation …

Online peer-to-peer (P2P) lending is a new form of loans. Different from traditional banks,
lenders provide loans to borrowers directly through P2P platforms. Since many P2P loans …

Personal credit scoring is a challenging issue. In recent years, research has shown that
machine learning has satisfactory performance in credit scoring. Because of the advantages …

The goal of the paper is to develop a new algorithm for predicting whether the company will
go bankrupt on the base of unbalanced data. To do it, we propose to consider the …