CV Lattes
ORCID
Abstract
In the last decades, the volume and complexity of astronomical data have increased considerably. As a consequence, machine learning techniques are being more frequently used in the analysis of such data. In this project, we propose to evaluate the most efficient machine learning techniques (and also the most adequate parameters) to classify the nuclear emission of galaxies as characterist…