Computer Vision (CV) domain is widely used in the current era of automation and visual
surveillance for the detection and classification of different objects in a diverse environment …

This paper introduces a framework for feature selection. Firstly, it establishes a percentage
in order to set a cut-off point in the context of feature ranking based on feature selection …

This paper proposes a methodology to feature sorting as well as feature selection in the
context of supervised machine learning algorithms. Feature sorting has been revealed as a …

This paper introduces the application of feature ranking with a twofold purpose: first it
achieves a feature sorting which becomes into a feature selection procedure given that a …

The criminal activities in the bitcoin market have been represented by hacks since the
beginnings of cryptocurrency transactions. Ransomware attacks are one of the most …

This paper proposes a methodology to feature sorting in the context of supervised machine
learning algorithms. Feature sorting is defined as a procedure to order the initial …

The rise of the sports industry, which over time has increased in popularity along with
machine learning and the possibilities for improving upon previously known and used …

Abstract Knowledge Discovery in Databases makes possible analysing the cybercriminal
activity on Bitcoin Market. Ransomware attacks are one of the most dangerous related …

This paper proposes a methodology to feature sorting in the context of supervised machine
learning algorithms. Feature sorting is defined as a procedure to order the initial …