Application of adaptive signal processing for determining the limits of P and T waves in an ECG. - Emilio Soria-Olivas; Marcelino Martínez-Sober; Javier Calpe-Maravilla; Juan-Francisco Guerrero-Martínez; Javier Chorro-Gascó; José Espí-López (IEEE Trans. Biomed. Eng., 1998)

Neural Networks Ensemble for Cyclosporine Concentration Monitoring. - Gustavo Camps-Valls; Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano-López; Juan José Pérez-Ruixo; N. Víctor Jiménez (ICANN, 2001)

Some Examples for Solving Clinical Problems Using Neural Networks. - Antonio J. Serrano-López; Emilio Soria-Olivas; Gustavo Camps-Valls; José David Martín-Guerrero; N. Víctor Jiménez (IWANN (2), 2001)

Multi-dimensional Function Approximation and Regression Estimation. - Fernando Pérez-Cruz; Gustavo Camps-Valls; Emilio Soria-Olivas; Juan José Pérez-Ruixo; Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez (ICANN, 2002)

Support Vector Machines for Crop Classification Using Hyperspectral Data. - Gustavo Camps-Valls; Luis Gómez-Chova; Javier Calpe-Maravilla; Emilio Soria-Olivas; José David Martín-Guerrero; José F. Moreno (IbPRIA, 2003)

CART-based feature selection of hyperspectral images for crop cover classification. - Luis Gómez-Chova; Javier Calpe-Maravilla; Emilio Soria-Olivas; Gustavo Camps-Valls; José David Martín-Guerrero; José F. Moreno (ICIP (3), 2003)

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)

Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failure. - José David Martín-Guerrero; Emilio Soria-Olivas; Gustavo Camps-Valls; Antonio J. Serrano-López; Juan José Pérez-Ruixo; N. Víctor Jiménez-Torres (Comput. Biol. Medicine, 2003)

Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks. - Gustavo Camps-Valls; Begoña Porta-Oltra; Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano-López; Juan José Pérez-Ruixo; N. Víctor Jiménez-Torres (IEEE Trans. Biomed. Eng., 2003)

Dosage individualization of erythropoietin using a profile-dependent support vector regression. - José David Martín-Guerrero; Gustavo Camps-Valls; Emilio Soria-Olivas; Antonio J. Serrano-López; Juan José Pérez-Ruixo; N. Víctor Jiménez-Torres (IEEE Trans. Biomed. Eng., 2003)

A low-complexity fuzzy activation function for artificial neural networks. - Emilio Soria-Olivas; José David Martín-Guerrero; Gustavo Camps-Valls; Antonio J. Serrano-López; Javier Calpe-Maravilla; Luis Gómez-Chova (IEEE Trans. Neural Networks, 2003)

Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories. - José David Martín-Guerrero; Emili Balaguer-Ballester; Gustavo Camps-Valls; Alberto Palomares; Antonio J. Serrano-López; Juan Gómez-Sanchís; Emilio Soria-Olivas (AH, 2004)

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)

Crane collision modelling using a neural network approach. - Ignacio García-Fernández; José David Martín-Guerrero; Marta Pla-Castells; Emilio Soria-Olivas; Rafael J. Martínez-Durá; Jordi Muñoz-Marí (Expert Syst. Appl., 2004)

Robust gamma-filter using support vector machines. - Gustavo Camps-Valls; Manel Martínez-Ramón; José Luis Rojo-Álvarez; Emilio Soria-Olivas (Neurocomputing, 2004)

Fuzzy sigmoid kernel for support vector classifiers. - Gustavo Camps-Valls; José David Martín-Guerrero; José Luis Rojo-Álvarez; Emilio Soria-Olivas (Neurocomputing, 2004)

A novel approach to introducing adaptive filters based on the LMS algorithm and its variants. - Emilio Soria-Olivas; Javier Calpe-Maravilla; Jonathon A. Chambers; Marcelino Martínez-Sober; Gustavo Camps-Valls; José David Martín-Guerrero (IEEE Trans. Educ., 2004)

Robust support vector method for hyperspectral data classification and knowledge discovery. - Gustavo Camps-Valls; Luis Gómez-Chova; Javier Calpe-Maravilla; José David Martín-Guerrero; Emilio Soria-Olivas; Luis Alonso-Chorda; José F. Moreno (IEEE Trans. Geosci. Remote. Sens., 2004)

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

Support vector machines framework for linear signal processing. - José Luis Rojo-Álvarez; Gustavo Camps-Valls; Manel Martínez-Ramón; Emilio Soria-Olivas; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal (Signal Process., 2005)

An approach to Co-design of Complex Adaptive Systems. - C. A. DeJuan-Esteban; Alfredo Rosado Muñoz; Emilio Soria-Olivas; Manuel Bataller-Mompeán; Juan Guerrero-Martínez (ReCoSoC, 2006)

Neural networks for animal science applications: Two case studies. - Carlos Fernández; Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano (Expert Syst. Appl., 2006)

Studying the feasibility of a recommender in a citizen web portal based on user modeling and clustering algorithms. - José David Martín-Guerrero; Alberto Palomares; Emili Balaguer-Ballester; Emilio Soria-Olivas; Juan Gómez-Sanchís; Antonio Soriano-Asensi (Expert Syst. Appl., 2006)

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)

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)

Support Vector Machines for Nonlinear Kernel ARMA System Identification. - Manel Martínez-Ramón; José Luis Rojo-Álvarez; Gustavo Camps-Valls; Jordi Muñoz-Marí; Ángel Navia-Vázquez; Emilio Soria-Olivas; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks, 2006)

Validation of a Reinforcement Learning Policy for Dosage Optimization of Erythropoietin. - José David Martín-Guerrero; Emilio Soria-Olivas; Marcelino Martínez-Sober; Mónica Climente-Martí; Teresa De Diego-Santos; N. Víctor Jiménez (Australian Conference on Artificial Intelligence, 2007)

A Family of Adaptive Algorithms Robust to Impulsive Noise. - Emilio Soria-Olivas; José David Martín-Guerrero; Marcelino Martínez-Sober; Alfredo Rosado; Javier Calpe (DSP, 2007)

An approach based on the Adaptive Resonance Theory for analysing the viability of recommender systems in a citizen Web portal. - José David Martín-Guerrero; Paulo J. G. Lisboa; Emilio Soria-Olivas; Alberto Palomares; Emili Balaguer (Expert Syst. Appl., 2007)

Statistical criteria for early-stopping of support vector machines. - Tatyana V. Bandos; Gustavo Camps-Valls; Emilio Soria-Olivas (Neurocomputing, 2007)

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)

Steady-state and tracking analysis of a robust adaptive filter with low computational cost. - Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano-López; Javier Calpe-Maravilla; Jonathon A. Chambers (Signal Process., 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)

Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines. - Gustavo Camps-Valls; Emilio Soria-Olivas; Juan José Pérez-Ruixo; Fernando Pérez-Cruz; Antonio Artés-Rodríguez; N. Víctor Jiménez (IEEE Trans. Syst. Man Cybern. Part C, 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)

Predicting service request in support centers based on nonlinear dynamics, ARMA modeling and neural networks. - Emili Balaguer; Alberto Palomares; Emilio Soria-Olivas; José David Martín-Guerrero (Expert Syst. Appl., 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)

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)

Assigning discounts in a marketing campaign by using reinforcement learning and neural networks. - Gabriel Gómez-Pérez; José David Martín-Guerrero; Emilio Soria-Olivas; Emili Balaguer-Ballester; Alberto Palomares; Nicolás Casariego (Expert Syst. Appl., 2009)

A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients. - José David Martín-Guerrero; Faustino J. Gomez; Emilio Soria-Olivas; Jürgen Schmidhuber; Mónica Climente-Martí; N. Víctor Jiménez-Torres (Expert Syst. Appl., 2009)

An AI Walk from Pharmacokinetics to A Marketing. - José David Martín-Guerrero; Emilio Soria-Olivas; Paulo J. G. Lisboa; Antonio J. Serrano-López (Encyclopedia of Artificial Intelligence, 2009)

Neural models for the analysis of kidney disease patients. - Emilio Soria-Olivas; José David Martín-Guerrero; Mónica Climente-Martí; Amparo Soldevila; Antonio J. Serrano (ESANN, 2010)

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

Description and evaluation of an introductory course to Matlab for a heterogeneous group of university students. - Emilio Soria-Olivas; José David Martín-Guerrero; Marcelino Martínez-Sober; Amparo Ayuso-Moya (Comput. Appl. Eng. Educ., 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)

Sectors on sectors (SonS): A new hierarchical clustering visualization tool. - José María Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; José David Martín-Guerrero; Marcelino Martínez-Sober; Juan Gómez-Sanchís (CIDM, 2011)

Analysis of a Reinforcement Learning algorithm using Self-Organizing Maps. - Vicente Buendia-Ramon; Emilio Soria-Olivas; José David Martín-Guerrero; Pablo Escandell-Montero; José M. Martínez-Villena (ESANN, 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)

Modelling net radiation at surface using "in situ" netpyrradiometer measurements with artificial neural networks. - Antonio Geraldo-Ferreira; Emilio Soria-Olivas; Juan Gómez-Sanchís; Antonio J. Serrano-López; Almudena Velázquez-Blazquez; Ernesto López-Baeza (Expert Syst. Appl., 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)

FPGA Implementation of an Adaptive Filter Robust to Impulsive Noise: Two Approaches. - Alfredo Rosado Muñoz; Manuel Bataller-Mompeán; Emilio Soria-Olivas; Claudio Scarante; Juan Guerrero-Martínez (IEEE Trans. Ind. Electron., 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)

Analysis of ventricular fibrillation signals using feature selection methods. - Juan Caravaca; Antonio J. Serrano-López; Emilio Soria-Olivas; Pablo Escandell-Montero; José María Martínez-Martínez; Juan-Francisco Guerrero-Martínez (CIP, 2012)

Regularized Committee of Extreme Learning Machine for Regression Problems. - Pablo Escandell-Montero; José María Martínez-Martínez; Emilio Soria-Olivas; Josep Guimerá-Tomás; Marcelino Martínez-Sober; Antonio J. Serrano-López (ESANN, 2012)

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)

Implementation of a new adaptive algorithm using fuzzy cost function and robust to impulsive noise. - Taras Iakymchuk; Alfredo Rosado; Emilio Soria-Olivas; Manuel Bataller (ICECS, 2012)

MATLAB-based educational software for exploratory data analysis (EDA toolkit). - Juan José Carrasco Fernández; Emilio Soria-Olivas; Juan Gómez-Sanchís; Antonio José Serrano; Antonio Soriano-Asensi; Juan-Francisco Guerrero-Martínez (Comput. Appl. Eng. Educ., 2012)

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)

Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients. - José David Martín-Guerrero; Daniele Marcelli; Emilio Soria-Olivas; Flavio Mari; José María Martínez-Martínez; Isabel Soley Bech; Marcelino Martínez-Sober; Laura Scatizzi; Juan Gómez-Sanchís; Andrea Stopper; Antonio J. Serrano-López; Emanuele Gatti (Expert Syst. Appl., 2012)

Effects of Physical Exercise and Glibenclamide in Local Activation Waves During Ventricular Fibrillation. - Juan Caravaca; Antonio J. Serrano-López; Emilio Soria-Olivas; Manuel Bataller; Alfredo Rosado Muñoz; Luís Such-Belenguer; Juan-Francisco Guerrero-Martínez (CinC, 2013)

Temporal Evolution of Spatial Regularity in Ventricular Fibrillation Modified by Physical Exercise. - Juan Caravaca; Antonio J. Serrano-López; Emilio Soria-Olivas; Manuel Bataller; Alfredo Rosado Muñoz; Luís Such-Belenguer; Juan-Francisco Guerrero-Martínez (CinC, 2013)

Least-squares temporal difference learning based on extreme learning machine. - Pablo Escandell-Montero; José María Martínez-Martínez; José David Martín-Guerrero; Emilio Soria-Olivas; Juan Gómez-Sanchís (ESANN, 2013)

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)

Machine Learning Techniques for Short-Term Electric Power Demand Prediction. - Fernando Mateo; Juan José Carrasco; Mónica Millán-Giraldo; Abderrahim Sellami; Pablo Escandell-Montero; José María Martínez-Martínez; Emilio Soria-Olivas (ESANN, 2013)

Temperature Forecast in Buildings Using Machine Learning Techniques. - Fernando Mateo; Juan José Carrasco; Mónica Millán-Giraldo; Abderrahim Sellami; Pablo Escandell-Montero; José María Martínez-Martínez; 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)

Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors. - Juan Miguel García-Gómez; Juan Gómez-Sanchís; Pablo Escandell-Montero; Elies Fuster-García; Emilio Soria-Olivas (Comput. Biol. Medicine, 2013)

Matlab-based interface for the simultaneous acquisition of force measures and Doppler ultrasound muscular images. - José Ferrer-Buedo; Marcelino Martínez-Sober; Yasser Alakhdar-Mohmara; Emilio Soria-Olivas; Josep-Carles Benítez-Martínez; José María Martínez-Martínez (Comput. Methods Programs Biomed., 2013)

Visual data mining with self-organising maps for ventricular fibrillation analysis. - Alfredo Rosado Muñoz; José María Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas (Comput. Methods Programs Biomed., 2013)

Corrigendum to "Predicting service request in support centers based on nonlinear dynamics, ARMA modeling and neural networks" [Expert Systems with Applications 34/1 (2008) 665-672]. - Emili Balaguer-Ballester; Alberto Palomares; Emilio Soria-Olivas; José David Martín-Guerrero (Expert Syst. Appl., 2013)

Machine learning methods to forecast temperature in buildings. - Fernando Mateo; Juan José Carrasco; Abderrahim Sellami; Mónica Millán-Giraldo; Manuel Domínguez 002; Emilio Soria-Olivas (Expert Syst. Appl., 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)

Hardware implementation methods in Random Vector Functional-Link Networks. - José M. Martínez-Villena; Alfredo Rosado Muñoz; Emilio Soria-Olivas (Appl. Intell., 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)

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)

Least-squares temporal difference learning based on an extreme learning machine. - Pablo Escandell-Montero; José María Martínez-Martínez; José David Martín-Guerrero; Emilio Soria-Olivas; Juan Gómez-Sanchís (Neurocomputing, 2014)

Comparing TSK-1 FRBS against SVR for electrical power prediction in buildings. - Javier Cózar; Gonzalo Vergara; José A. Gámez 001; Emilio Soria-Olivas (IFSA-EUSFLAT, 2015)

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)

Comparing ELM Against MLP for Electrical Power Prediction in Buildings. - Gonzalo Vergara; Javier Cózar; Cristina Romero-González; José A. Gámez 001; Emilio Soria-Olivas (IWINAC (2), 2015)

Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data. - Fernando Mateo; Emilio Soria-Olivas; Marcelino Martínez-Sober; Maria Tellez-Plaza; Juan Gómez-Sanchís; Josep Redon (ESANN, 2016)

ELM Regularized Method for Classification Problems. - Juan José Carrasco Fernández; Mónica Millán-Giraldo; Juan Caravaca; Pablo Escandell-Montero; José María Martínez-Martínez; Emilio Soria-Olivas (Int. J. Artif. Intell. Tools, 2016)

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)

A new visualization tool for data mining techniques. - José María Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano-López (Prog. Artif. Intell., 2016)

Random extreme learning machines to predict electric load in buildings. - Gonzalo Vergara; Juan Ignacio Alonso-Barba; Emilio Soria-Olivas; José A. Gámez 001; Manuel Domínguez 002 (Prog. Artif. Intell., 2016)

Randomized Machine Learning Approaches: Recent Developments and Challenges. - Claudio Gallicchio; José David Martín-Guerrero; Alessio Micheli; Emilio Soria-Olivas (ESANN, 2017)

Use of SOMs for footwear comfort evaluation. - José María Martínez-Martínez; José David Martín-Guerrero; Emilio Soria-Olivas; José Antonio Bernabéu; Pablo Escandell-Montero; Rafael Hernández Stark; Antonio J. Serrano-López; Enrique Montiel (Neural Comput. Appl., 2017)

Tweet Sentiment Visualization and Classification Using Manifold Dimensionality Reduction. - Francisco Grimaldo 001; Emilia López-Iñesta; Juan José Garcés-Iniesta; Juan Gómez-Sanchís; Daniel García-Costa; Eusebio Marqués-Benítez; Emilio Soria-Olivas (CCIA, 2018)

HemoKinect: A Microsoft Kinect V2 Based Exergaming Software to Supervise Physical Exercise of Patients with Hemophilia. - Fernando Mateo; Emilio Soria-Olivas; Juan José Carrasco; Santiago Bonanad; Felipe Querol; Sofía Pérez-Alenda (Sensors, 2018)

Detection of algorithmically generated malicious domain names using masked N-grams. - Jose Selvi; Ricardo J. Rodríguez; Emilio Soria-Olivas (Expert Syst. Appl., 2019)

Vibration Monitoring of the Mechanical Harvesting of Citrus to Improve Fruit Detachment Efficiency. - Sergio Castro-Garcia; Fernando Aragon-Rodriguez; Rafael R. Sola-Guirado; Antonio J. Serrano; Emilio Soria-Olivas; Jesús A. Gil-Ribes (Sensors, 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)

Toward Optimal LSTM Neural Networks for Detecting Algorithmically Generated Domain Names. - Jose Selvi; Ricardo J. Rodríguez; Emilio Soria-Olivas (IEEE Access, 2021)

Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification. - Fernando Mateo; Juan José Garcés-Iniesta; Berthold Jenninger; Juan Gómez-Sanchís; Emilio Soria-Olivas; Paolo Chiggiato (Expert Syst. Appl., 2021)

Lead Reconstruction Using Artificial Neural Networks for Ambulatory ECG Acquisition. - Alejandro Grande-Fidalgo; Javier Calpe; Mónica Redón; Carlos Millán-Navarro; Emilio Soria-Olivas (Sensors, 2021)

Approaching sales forecasting using recurrent neural networks and transformers. - Iván Vallés-Pérez; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J. Serrano-López; Juan Gómez-Sanchís; Fernando Mateo (Expert Syst. Appl., 2022)

Challenges in ECG Lead Reconstruction in Patients with Pacemakers and Implantable Defibrillators. - Alejandro Grande-Fidalgo; Javier Calpe; Emilio Soria-Olivas (ICBRA, 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)

Automatic artifact recognition and correction for electrodermal activity based on LSTM-CNN models. - Jose Llanes-Jurado; Lucia A. Carrasco-Ribelles; Mariano Alcañiz; Emilio Soria-Olivas; Javier Marín-Morales (Expert Syst. Appl., 2023)

A machine learning approach to identify groups of patients with hematological malignant disorders. - Pablo Rodríguez-Belenguer; José Luis Piñana; Manuel Sánchez-Montañés; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J. Serrano-López (Comput. Methods Programs Biomed., 2024)

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)

Integrating Mechanistic and Toxicokinetic Information in Predictive Models of Cholestasis. - Pablo Rodríguez-Belenguer; Victor Mangas-Sanjuan; Emilio Soria-Olivas; Manuel Pastor (J. Chem. Inf. Model., 2024)

StreamChol: a web-based application for predicting cholestasis. - Pablo Rodríguez-Belenguer; Emilio Soria-Olivas; Manuel Pastor (J. Cheminformatics, 2025)