Unmanned aerial vehicles (UAVs) are platforms that have been increasingly used over the
last decade to collect data for forest insect pest and disease (FIPD) monitoring. These …

Alzheimer's Disease (AD) is an incurable neurodegenerative disease that strongly impacts
the lives of the people affected. Even if, to date, there is no cure for this disease, its early …

In this review article, we provide a comprehensive guide to the endeavor of problem
decomposition within the field of Genetic Programming (GP), specifically tree-based GP for …

Information on crop spatial distribution is essential for agricultural monitoring and food
security. Classification with remote-sensing time series images is an effective way to obtain …

Computer science is the science that deals with the treatment of information by means of
automatic procedures. It has multiple objectives, including the study of computation at a …

One of the main applications of machine learning (ML) in remote sensing (RS) is the pixel-
level classification of satellite images into land cover types. Although classes with different …

The M3GP algorithm, originally designed to per-form multiclass classification with genetic
programming, is also a powerful feature construction method. Here we explore its ability to …

Feature construction has shown promise in improving the accuracy of crop classification by
constructing high-level features. However, current feature construction methods often rely on …

Machine learning and artificial intelligence are growing in popularity thanks to their ability to
produce models that exhibit unprecedented performance in domains that include computer …

Dimensionality reduction (DR) is vital in hyperspectral image (HSI) classification, and feature
extraction and band selection methods have been demonstrated to be effective at …