In the field of complex problem optimization with me-taheuristics, semantics has been used for modeling different aspects, such as: problem characterization, parameters, decision-maker's preferences, or algorithms. However, ...

Big Data Optimization is the term used to refer to optimization problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster ...

Las redes biomédicas modelan relaciones complejas entre entidades biológicas, presentando desafíos para su análisis y comprensión. En un contexto en el que la capacidad de las técnicas tradicionales presenta limitaciones ...

Inference of Gene Regulatory Networks (GRNs) remains an important open challenge in computational biology. The goal of bio-model inference is to, based on time-series of gene expression data, obtain the sparse topological ...

Modern applications of Big Data are transcending from being scalable solutions of data processing and analysis, to now provide advanced functionalities with the ability to exploit and understand the underpinning knowledge. ...

Este trabajo de fin de grado tiene como propósito la creación de una herramienta de software que permita validar modelos de clasificación de cobertura terrestre en la península ibérica. Con el fin de supervisar y monitorizar ...