A significant goal of modern universities is to provide high-quality education to their students
and reduce their failure rates. The early recognition of low-performance students that would …

To obtain the optimal set of features in feature selection problems is the most challenging
and prominent problem in machine learning. Very few human-related metaheuristic …

AliAmvra is a project developed to explore and promote high-quality catches of the
Amvrakikos Gulf (GP) to Artas' wider regions. In addition, this project aimed to implement an …

Many classification studies often times conclude with a summary table which presents
performance results of applying various data mining approaches on different datasets. No …

This paper presents and analyzes a programming tool that implements a method for
classification and function regression problems. This method builds new features from …

Grammatical Evolution (GE) is a Evolutionary Algorithm (EA) that takes inspiration from the
biological evolutionary process to search for solutions to problems. This chapter gives a brief …

A good feature representation is a determinant factor to achieve high performance for many
machine learning algorithms in terms of classification. This is especially true for techniques …

With increasing accuracy and availability of more data, the potential of using machine
learning (ML) methods in medical and clinical applications has gained considerable interest …

Many deficiencies with grammatical evolution (GE) such as inconvenience in solution
derivations, modularity analysis, and semantic computing can partly be explained from the …

Software-Defined Networking (SDN) stands as a pivotal paradigm in network
implementation, exerting a profound influence on the trajectory of technological …