The field of parallel metaheuristics is continuously evolving as a result of new technologies
and needs that researchers have been encountering. In the last decade, new models of …

Instead of standard support vector machines (SVMs) that classify points to one of two disjoint
half-spaces by solving a quadratic program, the plane classifier GEPSVM (proximal SVM …

This paper develops optimization and Machine Learning (ML) algorithms to analyze gene
expression datasets from the lungs and spleen of mice, infected intranasally, with two …

Abstract Knowledge discovery has become a necessary task in scientific, life sciences, and
business fields, both for the growing amount of data being collected and for the complexity of …

Discrimination of different cell types is very important in many medical and biological
applications. Existing methodologies are based on cost inefficient technologies or tedious …

In order to detect the traversable region of automotive land vehicle (ALV), a multi-scale data
analysis and representation method, shearlet transform is researched. Based on the feature …

Over the last years much research has been conducted in a number of related subjects to
handle the problem of formulating suitable procedures to recognize a class label attributed …

Abstract Analysis and interpretation of large datasets is a very significant problem that arises
in many areas of science. The task of data analysis becomes even harder when data are …