Browsing by Author "Santos Reyes, José"
Now showing items 1-8 of 8
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Business failure prediction models with high and stable predictive power over time using genetic programming
Beade, Angel; Rodríguez López, Manuel; Santos Reyes, José (Springer, 2024)[Abstract]: This study focuses on the deterioration of the predictive power and the analysis of the predictive stability of business failure prediction models, an aspect not sufficiently analysed in previous research. ... -
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 ... -
Evolutionary feature selection approaches for insolvency business prediction with genetic programming
Beade, Angel; Rodríguez López, Manuel; Santos Reyes, José (Springer, 2023)[Abstract]: This study uses different feature selection methods in the field of business failure prediction and tests the capability of Genetic Programming (GP) as an appropriate classifier in this field. The prediction ... -
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 ... -
Multiperiod Bankruptcy Prediction Models with Interpretable Single Models
Beade, Angel; Rodríguez López, Manuel; Santos Reyes, José (Springer, 2023)[Abstract]: This study considers multiperiod bankruptcy prediction models, an aspect scarcely considered in research despite its importance, since creditors must assess the risk of loans over the entire life of the debt ... -
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 ... -
Protein structure prediction with energy minimization and deep learning approaches
Filgueiras Rilo, Juan Luis; Varela, Daniel; Santos Reyes, José (Springer Science and Business Media B.V., 2023-12)[Abstract]: In this paper we discuss the advantages and problems of two alternatives for ab initio protein structure prediction. On one hand, recent approaches based on deep learning, which have significantly improved ... -
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 ...