Machine learning (ML) has revolutionised data analysis over the past decade. Like
innumerous other industries heavily reliant on accurate information, banking supervision …

We develop a model of neural networks to study the bankruptcy of US banks, taking into
account the specific features of the recent financial crisis. We combine multilayer …

Abstract Logical Analysis of Data (LAD) is a data analysis methodology introduced by Peter
L. Hammer in 1986. LAD distinguishes itself from other classification and machine learning …

There are two gaps in the literature:(1) there has been no effort yet considering the black-
box productive process, through which financial ratio-inputs are turned into financial ratio …

This paper presents a novel methodology for multiple failure modes prognostics in rotating
machinery. The methodology merges a machine learning and pattern recognition approach …

Classification is a common task in data mining that assigns a class label to an unseen
situation. It has been widely used in decision making for various applications, and many …

Dimensionality reduction methods have shown their usefulness for both supervised and
unsupervised tasks in a wide range of application domains. Several linear and nonlinear …

Purpose–This study aims to present an empirical model designed to forecast bank credit
ratings using only quantitative and publicly available information from their financial …

This paper proposes a methodological approach for designing a dynamic risk identification
and estimation support tool for machinery safety. Based on a comprehensive literature …

This paper deals with the application of Logical Analysis of Data (LAD) to machinery-related
occupational accidents, using belt-conveyor-related accidents as an example. LAD is a …