High performance hardware correlation coefficient assessment using programmable logic for ECG signals. - Alfredo Rosado; Manuel Bataller-Mompeán; Juan Guerrero-Martínez; Javier Calpe; José V. Francés; José Rafael Magdalena Benedicto (Microprocess. Microsystems, 2003)

Design of a Neural Network Model as a Decision Making Aid in Renal Transplant. - Rafael Magdalena; Antonio J. Serrano; Agustin Serrano; Jorge Muñoz; Joan Vila-Francés; Emilio Soria-Olivas (ISBMDA, 2004)

Foetal ECG recovery using dynamic neural networks. - Gustavo Camps-Valls; Marcelino Martínez-Sober; Emilio Soria-Olivas; José Rafael Magdalena Benedicto; Javier Calpe-Maravilla; Juan Guerrero-Martínez (Artif. Intell. Medicine, 2004)

Weekly milk prediction on dairy goats using neural networks. - Carlos Fernández; Emilio Soria-Olivas; P. Sánchez-Seiquer; Luis Gómez-Chova; Rafael Magdalena; José David Martín-Guerrero; M. J. Navarro; Antonio J. Serrano-López (Neural Comput. Appl., 2007)

BioLab: An Educational Tool for Signal Processing Training in Biomedical Engineering. - Juan Guerrero-Martínez; Manuel Bataller-Mompeán; Emilio Soria-Olivas; Rafael Magdalena (IEEE Trans. Educ., 2007)

Use of Reinforcement Learning in Two Real Applications. - José David Martín-Guerrero; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J. Serrano-López; José Rafael Magdalena Benedicto; Juan Gómez-Sanchís (EWRL, 2008)

Web mining based on Growing Hierarchical Self-Organizing Maps: Analysis of a real citizen web portal. - Antonio Soriano-Asensi; José David Martín-Guerrero; Emilio Soria-Olivas; Alberto Palomares; José Rafael Magdalena Benedicto; Antonio J. Serrano-López (Expert Syst. Appl., 2008)

A Teaching Laboratory in Analog Electronics: Changes to Address the Bologna Requirements. - Rafael Magdalena; Antonio J. Serrano; José David Martín-Guerrero; Alfredo Rosado; Marcelino Martínez-Sober (IEEE Trans. Educ., 2008)

Survival prediction in patients undergoing ischemic cardiopathy. - Emilio Soria-Olivas; José David Martín-Guerrero; Juan Caravaca; Antonio J. Serrano; Marcelino Martínez-Sober; Rafael Magdalena; Juan Gómez; Magdalena Heras; Gines Sanz (IJCNN, 2009)

Qualitative analysis of goat and sheep production data using self-organizing maps. - Rafael Magdalena; Carlos Fernández; José David Martín-Guerrero; Emilio Soria-Olivas; Marcelino Martínez-Sober; M. J. Navarro; C. Mata (Expert Syst. J. Knowl. Eng., 2009)

Feature selection using ROC curves on classification problems. - Antonio J. Serrano; Emilio Soria-Olivas; José David Martín-Guerrero; Rafael Magdalena; Juan Gómez (IJCNN, 2010)

Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach. - Pablo Escandell-Montero; José María Martínez-Martínez; José David Martín-Guerrero; Emilio Soria-Olivas; Joan Vila-Francés; José Rafael Magdalena Benedicto (CIDM, 2011)

Regularized extreme learning machine for regression problems. - José María Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; José David Martín-Guerrero; José Rafael Magdalena Benedicto; Juan Gómez-Sanchís (Neurocomputing, 2011)

BELM: Bayesian Extreme Learning Machine. - Emilio Soria-Olivas; Juan Gómez-Sanchís; José David Martín-Guerrero; Joan Vila-Francés; Marcelino Martínez-Sober; José Rafael Magdalena Benedicto; Antonio J. Serrano (IEEE Trans. Neural Networks, 2011)

Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques. - Juan Gómez-Sanchís; José David Martín-Guerrero; Emilio Soria-Olivas; Marcelino Martínez-Sober; José Rafael Magdalena Benedicto; José Blasco (Expert Syst. Appl., 2012)

Bayesian Regularized Committee of Extreme Learning Machine. - José María Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; Joan Vila-Francés; José Rafael Magdalena Benedicto (ICPRAM, 2013)

Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques. - José María Martínez-Martínez; Pablo Escandell-Montero; Carlo Barbieri; Emilio Soria-Olivas; Flavio Mari; Marcelino Martínez-Sober; Claudia Amato; Antonio J. Serrano-López; Marcello Bassi; José Rafael Magdalena Benedicto; Andrea Stopper; José David Martín-Guerrero; et al. (Comput. Methods Programs Biomed., 2014)

Active Learning for the Optimal Design of Multinomial Classification in Physics. - Yongcheng Ding; José D. Martín-Guerrero; Yujing Song; José Rafael Magdalena Benedicto; Xi Chen 059 (CoRR, 2021)

Quantum Stream Learning. - Yongcheng Ding; Xi Chen 059; Rafael Magdalena Benedicto; José D. Martín-Guerrero (CoRR, 2021)

Determining the asymptotic family of an implicit curve. - Elena Campo-Montalvo; Marian Fernández de Sevilla; J. Rafael Magdalena Benedicto; Sonia Pérez-Díaz (Comput. Aided Geom. Des., 2022)

Some New Symbolic Algorithms for the Computation of Generalized Asymptotes. - Elena Campo-Montalvo; Marian Fernández de Sevilla; J. Rafael Magdalena Benedicto; Sonia Pérez-Díaz (Symmetry, 2023)

Closed-loop control of a noisy qubit with reinforcement learning. - Yongcheng Ding; Xi Chen 059; José Rafael Magdalena Benedicto; José D. Martín-Guerrero (Mach. Learn. Sci. Technol., 2023)

Design and implementation of symbolic algorithms for the computation of generalized asymptotes. - Marian Fernández de Sevilla; J. Rafael Magdalena Benedicto; Sonia Pérez-Díaz (Ann. Math. Artif. Intell., 2023)

Detecting and parametrizing polynomial surfaces without base points. - Sonia Pérez-Díaz; Marian Fernández de Sevilla; Rafael Magdalena Benedicto; Li-Yong Shen (Comput. Aided Geom. Des., 2023)

Multimodal video analysis for crowd anomaly detection using open access tourism cameras. - Alejandro Dionis-Ros; Joan Vila-Francés; Rafael Magdalena Benedicto; Fernando Mateo; Antonio J. Serrano-López (CoRR, 2024)

An effective algorithm for computing the asymptotes of an implicit curve. - Sonia Pérez-Díaz; J. Rafael Magdalena Benedicto; Marian Fernández de Sevilla (J. Comput. Appl. Math., 2024)