The increasing accessibility of extensive datasets has amplified the importance of extracting
insights from high-dimensional data. However, the task of selecting relevant features in …

Fast and precise medical diagnosis of human cancer is crucial for treatment decisions. Gene
selection consists of identifying a set of informative genes from microarray data to allow high …

In machine learning, an informative dataset is crucial for accurate predictions. However, high
dimensional data often contains irrelevant features, outliers, and noise, which can negatively …

Selecting the best features in a dataset improves accuracy and efficiency of classifiers in a
learning process. Datasets generally have more features than necessary, some of them …

This study proposes an optimized context-based Gustafson Kessel (CGK)-based fuzzy
granular model based on the generation of rational information granules and an optimized …

In the present work, a neuronal dynamic response prediction system is shown to estimate
the response of multiple systems remotely without sensors. For this, a set of Neural Networks …

The increasing accessibility of extensive datasets has amplified the importance of extracting
insights from high-dimensional data. However, the task of selecting relevant features in …

We carried out a bibliometric analysis of the research production in the field of evolutionary
computation in Latin America (LA) for the period 1980-2020. The bibliometric method is …

This study proposes a multimodal approach to the Improved version of Binary Fish School
Search (IBFSS) algorithm by incorporating aspects of the Weight Based Fish School Search …

Vaccination has become the most powerful tool to win the battle at COVID-19. Optimised
distribution of the vaccines is crucial to provide a level of immunisation over a country that …