The mean shift algorithm has achieved considerable success in object tracking due to its
simplicity and robustness. It finds local minima of a similarity measure between the color …

We evaluate the prediction accuracy of models designed using different classification
methods depending on the technique used to select variables, and we study the relationship …

This study provides operational guidance for building naïve Bayes Bayesian network (BN)
models for bankruptcy prediction. First, we suggest a heuristic method that guides the …

The aim of this study is to show how a Kohonen map can be used to increase the forecasting
horizon of a financial failure model. Indeed, most prediction models fail to forecast accurately …

Financial bankruptcy prediction is an essential issue in emerging economies taking into
consideration the economic upheaval that can be caused by business failures. The research …

Public sector enterprises or undertakings have been the back bone of the Indian economy
since the time of independence. These companies are involved in various industrial …

A previsão do fracasso empresarial é um tema que interessa cada vez mais aos diversos
agentes económicos, em particular aos investidores, credores, entidades financeiras, mas …

This study aims to show the impact of machine learning as a field of artificial intelligence
based on the fact computers can learn from data. Within this aim, our goal is to demonstrate …

Systems and techniques for developing and implementing a credit risk model using various
sources of data, including price data, financial accounting ratios, ESG (Environmental …

Basel Capital Accord allows banks to use their own rating models for the estimation of
probabilities of default (PD). The objective of this research is to present mathematical …