Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

The study presents a systematic review of 232 studies on various aspects of the use of
artificial intelligence methods for identification of financial distress (such as bankruptcy or …

This study thoroughly analyses how artificial intelligence (AI), machine learning (ML), and
deep learning (DL) impact the development and improvement of business strategies. It …

Small and medium‐sized enterprises are the pillars of an economy, and their poor
performance has a negative impact on living standards of population and country …

When dealing with sensitive data in automated data-driven decision-making, an important
concern is to learn predictors with high performance towards a class label, whilst minimising …

Financial distress identification remains an essential topic in the scientific literature due to its
importance for society and the economy. The advancements in information technology and …

Text mining and related analytics emerge as a technological approach to support human
activities in extracting useful knowledge through texts in several formats. From a managerial …

Imbalanced datasets are one of the main issues encountered by artificial intelligence
researchers, as machine learning (ML) algorithms can become biased toward the majority …

When dealing with sensitive data in automated data-driven decisionmaking, an important
concern is to learn predictors with high performance towards a class label, whilst minimising …

Text mining is a technological trend often highlighted in the continuous exchange of
information through interconnected media. Its applicability goes beyond private …