The problem of intelligent malware detection has become increasingly relevant in the industry, as there has been an explosion in the diversity of threats and attacks that affect not only small users, but also large ...

This paper explores the effect of using different pipelines to compute connectomes (matrices representing brain connections) and use them to train machine learning models with the goal of diagnosing Autism Spectrum ...

Este proyecto ha sido creado con el objetivo de ayudar en el diagnóstico del Trastorno del Espectro Autista (TEA), tarea dificultada por la complejidad del mismo. Se estima que entre el 1 % y el 2 % de los niños lo padecen, ...

En estos últimos años, hemos sido testigos de cómo ha incrementado la necesidad de disponer de material online para facilitar y complementar el aprendizaje, sobre todo debido a la pandemia que hemos vivido, provocando ...

In this paper, we present a novel approach for sentiment analysis that uses Formal Concept Analysis (FCA) to create dictionaries for classification. Unlike other methods that rely on pre-defined lexicons, our approach ...

This paper investigates the distribution characteristics of Fourier, discrete cosine, and discrete sine transform coefficients in T1 MRI images. The study reveals their adherence to Benford’s law, characterized by a ...