Feature selection of hyperspectral data through local correlation and SFFS for crop classification. - Luis Gómez-Chova; Javier Calpe; Gustau Camps-Valls; José David Martín-Guerrero; Emilio Soria-Olivas; Joan Vila-Francés; Luis Alonso-Chorda; José Moreno 001 (IGARSS, 2003)

Semi-supervised classification method for hyperspectral remote sensing images. - Luis Gómez-Chova; Javier Calpe; Gustau Camps-Valls; José David Martín-Guerrero; Emilio Soria-Olivas; Joan Vila-Francés; Luis Alonso-Chorda; José Moreno 001 (IGARSS, 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)

Implementation Challenges in Complex Adaptive Systems. - Alfredo Rosado Muñoz; Emilio Soria-Olivas; Joan Vila-Francés; Jordi Muñoz-Marí; Javier Calpe-Maravilla (ReCoSoC, 2005)

SmartSpectra: Applying multispectral imaging to industrial environments. - Joan Vila-Francés; Javier Calpe; Filiberto Pla; Luis Gómez-Chova; Joseph Connell; John A. Marchant; Javier Calleja; Michael Mulqueen; Jordi Muñoz-Marí; Arnoud C. Klaren (Real Time Imaging, 2005)

Enhancing decision-based neural networks through local competition. - Gustavo Camps-Valls; Luis Gómez-Chova; Joan Vila-Francés; José David Martín-Guerrero; Antonio J. Serrano-López; Emilio Soria-Olivas (Neurocomputing, 2006)

Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function. - Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano-López; Javier Calpe-Maravilla; Joan Vila-Francés; Gustavo Camps-Valls (Neurocomputing, 2006)

400 - to 1000 - nm imaging spectrometer based on acousto-optic tunable filters. - Javier Calpe-Maravilla; Joan Vila-Francés; Emilio Ribes-Gómez; Vicente Duran-Bosch; Jordi Muñoz-Marí; Julia Amorós-López; Luis Gómez-Chova; Enrique Tajahuerce-Romera (J. Electronic Imaging, 2006)

Composite kernels for hyperspectral image classification. - Gustavo Camps-Valls; Luis Gómez-Chova; Jordi Muñoz-Marí; Joan Vila-Francés; Javier Calpe-Maravilla (IEEE Geosci. Remote. Sens. Lett., 2006)

Urban monitoring using multi-temporal SAR and multi-spectral data. - Luis Gómez-Chova; Diego Fernández-Prieto; Javier Calpe-Maravilla; Emilio Soria-Olivas; Joan Vila-Francés; Gustavo Camps-Valls (Pattern Recognit. Lett., 2006)

Non-linear RLS-based algorithm for pattern classification. - Emilio Soria-Olivas; Gustavo Camps-Valls; José David Martín-Guerrero; Javier Calpe-Maravilla; Joan Vila-Francés; Antonio J. Serrano-López (Signal Process., 2006)

Sensitivity analysis of the fraunhofer line discrimination method for the measurement of chlorophyll fluorescence using a field spectroradiometer. - Luis Alonso 002; Luis Gómez-Chova; Joan Vila-Francés; Julia Amorós-López; Luis Guanter; Javier Calpe; José F. Moreno (IGARSS, 2007)

Remote sensing of chlorophyll fluorescence for estimation of stress in vegetation. recommendations for future missions. - Julia Amorós-López; Joan Vila-Francés; Luis Gómez-Chova; Luis Alonso 002; Luis Guanter; Secundino del Valle-Tascun; Javier Calpe-Maravilla; José F. Moreno (IGARSS, 2007)

Configurable Passband Imaging Spectrometer Based on Acousto-optic Tunable Filter. - Joan Vila-Francés; Luis Gómez-Chova; Julia Amorós-López; Javier Calpe-Maravilla (ACIVS, 2008)

An IP Core and GUI for Implementing Multilayer Perceptron with a Fuzzy Activation Function on Configurable Logic Devices. - Alfredo Rosado Muñoz; Luis Gómez-Chova; Joan Vila-Francés (J. Univers. Comput. Sci., 2008)

Improved Fraunhofer Line Discrimination Method for Vegetation Fluorescence Quantification. - Luis Alonso 002; Luis Gómez-Chova; Joan Vila-Francés; Julia Amorós-López; Luis Guanter; Javier Calpe; José F. Moreno (IEEE Geosci. Remote. Sens. Lett., 2008)

Biophysical Parameter Estimation with Adaptive Gaussian Processes. - Gustavo Camps-Valls; Luis Gómez-Chova; Jordi Muñoz-Marí; Joan Vila-Francés; Julia Amorós-López; Javier Calpe-Maravilla (IGARSS (4), 2009)

Improving the performance of acousto-optic tunable filters in imaging applications. - Joan Vila-Francés; Javier Calpe-Maravilla; Luis Gómez-Chova; Julia Amorós-López (J. Electronic Imaging, 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)

Growing Hierarchical Sectors on Sectors. - José M. Martínez-Villena; Pablo Escandell-Montero; Emilio Soria-Olivas; José David Martín-Guerrero; Juan Gómez; Joan Vila-Francés (ESANN, 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)

extended visualization method for classification trees. - José María Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; José David Martín-Guerrero; Juan Gómez-Sanchís; Joan Vila-Francés (ESANN, 2012)

ManiSonS: A New Visualization Tool for Manifold Clustering. - José María Martínez-Martínez; Pablo Escandell-Montero; José David Martín-Guerrero; Joan Vila-Francés; Emilio Soria-Olivas (ESANN, 2013)

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)

Expert system for predicting unstable angina based on Bayesian networks. - Joan Vila-Francés; Juan Gómez-Sanchís; Emilio Soria-Olivas; Antonio José Serrano; Marcelino Martínez-Sober; Clara Bonanad; Silvia Ventura (Expert Syst. Appl., 2013)

Ensembles of extreme learning machine networks for value prediction. - Pablo Escandell-Montero; José María Martínez-Martínez; Emilio Soria-Olivas; Joan Vila-Francés; José David Martín-Guerrero (ESANN, 2014)

Optimization of anemia treatment in hemodialysis patients via reinforcement learning. - Pablo Escandell-Montero; Milena Chermisi; José María Martínez-Martínez; Juan Gómez-Sanchís; Carlo Barbieri; Emilio Soria-Olivas; Flavio Mari; Joan Vila-Francés; Andrea Stopper; Emanuele Gatti; José David Martín-Guerrero (Artif. Intell. Medicine, 2014)

Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation. - Juan Caravaca; Emilio Soria-Olivas; Manuel Bataller; Antonio J. Serrano; Luis Such-Miquel; Joan Vila-Francés; Juan-Francisco Guerrero-Martínez (Comput. Biol. Medicine, 2014)

Improving Mortality Prediction in Cardiovascular Risk Patients by Balancing Classes. - Emilio Soria-Olivas; José David Martín-Guerrero; Josep Redon; Maria Tellez-Plaza; Joan Vila-Francés (ICDM Workshops, 2015)

Online fitted policy iteration based on extreme learning machines. - Pablo Escandell-Montero; Delia Lorente; José María Martínez-Martínez; Emilio Soria-Olivas; Joan Vila-Francés; José David Martín-Guerrero (Knowl. Based Syst., 2016)

Diurnal Cycle Relationships between Passive Fluorescence, PRI and NPQ of Vegetation in a Controlled Stress Experiment. - Luis Alonso 002; Shari Van Wittenberghe; Julia Amorós-López; Joan Vila-Francés; Luis Gómez-Chova; José F. Moreno (Remote. Sens., 2017)

Analysis of computer user behavior, security incidents and fraud using Self-Organizing Maps. - Alberto Urueña-López; Fernando Mateo; Julio Navío-Marco; José María Martínez-Martínez; Juan Gómez-Sanchís; Joan Vila-Francés; Antonio José Serrano-López (Comput. Secur., 2019)

End-to-end Keyword Spotting using Xception-1d. - Iván Vallés-Pérez; Juan Gómez-Sanchís; Marcelino Martínez-Sober; Joan Vila-Francés; Antonio José Serrano-López; Emilio Soria-Olivas (ESANN, 2021)

Online polarization and cross-fertilization in multi-cleavage societies: the case of Spain. - Rubén Rodríguez Casañ; Enrique García-Vidal; Didier Grimaldi; Carlos Carrasco-Farré; Francisco Vaquer-Estalrich; Joan Vila-Francés (Soc. Netw. Anal. Min., 2022)

Text Characterisation for the Fight Against Political Misinformation. - Elena Álvarez-García; Daniel García-Costa; Joan Vila-Francés; Francisco Grimaldo 001 (CCIA, 2023)

Empirical study of the modulus as activation function in computer vision applications. - Iván Vallés-Pérez; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J. Serrano-López; Joan Vila-Francés; Juan Gómez-Sanchís (Eng. Appl. Artif. Intell., 2023)

Dynamic classifier auditing by unsupervised anomaly detection methods: an application in packaging industry predictive maintenance. - Fernando Mateo; Joan Vila-Francés; Emilio Soria-Olivas; Marcelino Martínez-Sober; Juan Gómez-Sanchís; Antonio José Serrano-López (CoRR, 2024)

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)

Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes. - A. Herreros-Martínez; R. Magdalena-Benedicto; Joan Vila-Francés; Antonio J. Serrano-López; Sonia Pérez-Díaz (CoRR, 2024)

Beyond Words: Analyzing Emotions and Linguistic Characteristics to Detect Hoax-Related Tweets During Spanish Regional Elections. - Elena Álvarez-García; Daniel García-Costa; Sandra Paniagua; Julián Vicens; Joan Vila-Francés; Francisco Grimaldo 001 (Int. J. Comput. Intell. Syst., 2024)

Automated classification of oral cancer lesions: Vision transformers vs radiomics. - Eva Chilet-Martos; Joan Vila-Francés; José V. Bagan; Yolanda Vives-Gilabert (Comput. Biol. Medicine, 2025)

Automatic magnetic resonance imaging series labelling for large repositories. - Armando Gomis-Maya; Leonor Cerdá Alberich; Diana Veiga Canuto; Salvatore Claudio-Fanni; Amadeo Ten-Steve; Gloria Ribas-Despuig; Pedro José Mallol-Roselló; Joan Vila-Francés; Luis Martí-Bonmatí (J. Big Data, 2025)