Listar GI-IRlab-Artigos por autor "Santos Reyes, José"
Mostrando ítems 1-4 de 4
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Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Górriz, Juan M.; Álvarez-Illán, I.; Álvarez-Marquina, Agustín; Arco, Juan Eloy; Atzmueller, Martin; Ballarini, F.; Barakova, Emilia; Bologna, Guido; Duro, Richard J. Richard J. xxx; Santos Reyes, José (Elsevier, 2023-12)[Abstract]: Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear ... -
Evolving Cellular Automata Schemes for Protein Folding Modeling Using the Rosetta Atomic Representation
Varela, Daniel; Santos Reyes, José (Springer, 2022)[Abstract] Protein folding is the dynamic process by which a protein folds into its final native structure. This is different to the traditional problem of the prediction of the final protein structure, since it requires ... -
Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction
Varela, Daniel; Santos Reyes, José (Elsevier, 2022-06)[Abstract]: A memetic version between an evolutionary algorithm (differential evolution) and the local search provided by protein fragment replacements was defined for protein structure prediction. In this problem, it is ... -
Variable selection in the prediction of business failure using genetic programming
Beade, José; Rodríguez Seijo, José Manuel; Santos Reyes, José (Elsevier B.V., 2024-04-08)This study focuses on dimensionality reduction by variable selection in business failure prediction models. A new method of dimensionality reduction by variable selection using Genetic Programming is proposed, which takes ...