Emilio Soria-Olivas

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 29

Top Venues

Publications

Pablo Rodríguez-Belenguer, José Luis Piñana, Manuel Sánchez-Montañés, Emilio Soria-Olivas, Marcelino Martínez-Sober, Antonio J. Serrano-López
A machine learning approach to identify groups of patients with hematological malignant disorders. Comput. Methods Programs Biomed. 246 (2024)
Pablo Rodríguez-Belenguer, Victor Mangas-Sanjuan, Emilio Soria-Olivas, Manuel Pastor
Integrating Mechanistic and Toxicokinetic Information in Predictive Models of Cholestasis. J. Chem. Inf. Model. 64 (7) (2024)
Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas, Marcelino Martínez-Sober, Juan Gómez-Sanchís, Antonio José Serrano-López
Dynamic classifier auditing by unsupervised anomaly detection methods: an application in packaging industry predictive maintenance. CoRR (2024)
Jose Llanes-Jurado, Lucia A. Carrasco-Ribelles, Mariano Alcañiz, Emilio Soria-Olivas, Javier Marín-Morales
Automatic artifact recognition and correction for electrodermal activity based on LSTM-CNN models. Expert Syst. Appl. 230 (2023)
Alejandro Grande-Fidalgo, Javier Calpe, Emilio Soria-Olivas
Challenges in ECG Lead Reconstruction in Patients with Pacemakers and Implantable Defibrillators. ICBRA (2023)
Iván Vallés-Pérez, Emilio Soria-Olivas, Marcelino Martínez-Sober, Antonio J. Serrano-López, Joan Vila-Francés, Juan Gómez-Sanchís
Empirical study of the modulus as activation function in computer vision applications. CoRR (2023)
Iván Vallés-Pérez, Emilio Soria-Olivas, Marcelino Martínez-Sober, Antonio J. Serrano-López, Joan Vila-Francés, Juan Gómez-Sanchís
Empirical study of the modulus as activation function in computer vision applications. Eng. Appl. Artif. Intell. 120 (2023)
Iván Vallés-Pérez, Emilio Soria-Olivas, Marcelino Martínez-Sober, Antonio J. Serrano-López, Juan Gómez-Sanchís, Fernando Mateo
Approaching sales forecasting using recurrent neural networks and transformers. Expert Syst. Appl. 201 (2022)
Iván Vallés-Pérez, Emilio Soria-Olivas, Marcelino Martínez-Sober, Antonio J. Serrano-López, Juan Gómez-Sanchís, Fernando Mateo
Approaching sales forecasting using recurrent neural networks and transformers. CoRR (2022)
Alejandro Grande-Fidalgo, Javier Calpe, Mónica Redón, Carlos Millán-Navarro, Emilio Soria-Olivas
Lead Reconstruction Using Artificial Neural Networks for Ambulatory ECG Acquisition. Sensors 21 (16) (2021)
Iván Vallés-Pérez, Juan Gómez-Sanchís, Marcelino Martínez-Sober, Joan Vila-Francés, Antonio J. Serrano-López, Emilio Soria-Olivas
End-to-end Keyword Spotting using Xception-1d. CoRR (2021)
Jose Selvi, Ricardo J. Rodríguez, Emilio Soria-Olivas
Toward Optimal LSTM Neural Networks for Detecting Algorithmically Generated Domain Names. IEEE Access 9 (2021)
Iván Vallés-Pérez, Juan Gómez-Sanchís, Marcelino Martínez-Sober, Joan Vila-Francés, Antonio José Serrano-López, Emilio Soria-Olivas
End-to-end Keyword Spotting using Xception-1d. ESANN (2021)
Fernando Mateo, Juan José Garcés-Iniesta, Berthold Jenninger, Juan Gómez-Sanchís, Emilio Soria-Olivas, Paolo Chiggiato
Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification. Expert Syst. Appl. 178 (2021)
Sergio Castro-Garcia, Fernando Aragon-Rodriguez, Rafael R. Sola-Guirado, Antonio J. Serrano, Emilio Soria-Olivas, Jesús A. Gil-Ribes
Vibration Monitoring of the Mechanical Harvesting of Citrus to Improve Fruit Detachment Efficiency. Sensors 19 (8) (2019)
Jose Selvi, Ricardo J. Rodríguez, Emilio Soria-Olivas
Detection of algorithmically generated malicious domain names using masked N-grams. Expert Syst. Appl. 124 (2019)
Fernando Mateo, Emilio Soria-Olivas, Juan José Carrasco, Santiago Bonanad, Felipe Querol, Sofía Pérez-Alenda
HemoKinect: A Microsoft Kinect V2 Based Exergaming Software to Supervise Physical Exercise of Patients with Hemophilia. Sensors 18 (8) (2018)
Francisco Grimaldo, Emilia López-Iñesta, Juan José Garcés-Iniesta, Juan Gómez-Sanchís, Daniel García-Costa, Eusebio Marqués-Benítez, Emilio Soria-Olivas
Tweet Sentiment Visualization and Classification Using Manifold Dimensionality Reduction. CCIA (2018)
Claudio Gallicchio, José David Martín-Guerrero, Alessio Micheli, Emilio Soria-Olivas
Randomized Machine Learning Approaches: Recent Developments and Challenges. ESANN (2017)
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
Use of SOMs for footwear comfort evaluation. Neural Comput. Appl. 28 (7) (2017)
Fernando Mateo, Emilio Soria-Olivas, Marcelino Martínez-Sober, Maria Tellez-Plaza, Juan Gómez-Sanchís, Josep Redon
Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data. ESANN (2016)
Pablo Escandell-Montero, Delia Lorente, José María Martínez-Martínez, Emilio Soria-Olivas, Joan Vila-Francés, José David Martín-Guerrero
Online fitted policy iteration based on extreme learning machines. Knowl. Based Syst. 100 (2016)
Gonzalo Vergara, Juan Ignacio Alonso-Barba, Emilio Soria-Olivas, José A. Gámez, Manuel Domínguez
Random extreme learning machines to predict electric load in buildings. Prog. Artif. Intell. 5 (2) (2016)
Juan José Carrasco Fernández, Mónica Millán-Giraldo, Juan Caravaca, Pablo Escandell-Montero, José María Martínez-Martínez, Emilio Soria-Olivas
ELM Regularized Method for Classification Problems. Int. J. Artif. Intell. Tools 25 (1) (2016)
José María Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas, José David Martín-Guerrero, Antonio J. Serrano-López
A new visualization tool for data mining techniques. Prog. Artif. Intell. 5 (2) (2016)
Emilio Soria-Olivas, José David Martín-Guerrero, Josep Redon, Maria Tellez-Plaza, Joan Vila-Francés
Improving Mortality Prediction in Cardiovascular Risk Patients by Balancing Classes. ICDM Workshops (2015)
Javier Cózar, Gonzalo Vergara, José A. Gámez, Emilio Soria-Olivas
Comparing TSK-1 FRBS against SVR for electrical power prediction in buildings. IFSA-EUSFLAT (2015)
Gonzalo Vergara, Javier Cózar, Cristina Romero-González, José A. Gámez, Emilio Soria-Olivas
Comparing ELM Against MLP for Electrical Power Prediction in Buildings. IWINAC (2) (2015)
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
Optimization of anemia treatment in hemodialysis patients via reinforcement learning. CoRR (2015)
Pablo Escandell-Montero, José María Martínez-Martínez, Emilio Soria-Olivas, Joan Vila-Francés, José David Martín-Guerrero
Ensembles of extreme learning machine networks for value prediction. ESANN (2014)
Juan Caravaca, Emilio Soria-Olivas, Manuel Bataller, Antonio J. Serrano, Luis Such-Miquel, Joan Vila-Francés, Juan-Francisco Guerrero-Martínez
Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation. Comput. Biol. Medicine 45 (2014)
José M. Martínez-Villena, Alfredo Rosado Muñoz, Emilio Soria-Olivas
Hardware implementation methods in Random Vector Functional-Link Networks. Appl. Intell. 41 (1) (2014)
Pablo Escandell-Montero, José María Martínez-Martínez, José David Martín-Guerrero, Emilio Soria-Olivas, Juan Gómez-Sanchís
Least-squares temporal difference learning based on an extreme learning machine. Neurocomputing 141 (2014)
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 Benedito, Andrea Stopper, José David Martín-Guerrero, Emanuele Gatti
Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques. Comput. Methods Programs Biomed. 117 (2) (2014)
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
Optimization of anemia treatment in hemodialysis patients via reinforcement learning. Artif. Intell. Medicine 62 (1) (2014)
Pablo Escandell-Montero, José María Martínez-Martínez, José David Martín-Guerrero, Emilio Soria-Olivas, Juan Gómez-Sanchís
Least-squares temporal difference learning based on extreme learning machine. ESANN (2013)
José María Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas, Joan Vila-Francés, José Rafael Magdalena Benedito
Bayesian Regularized Committee of Extreme Learning Machine. ICPRAM (2013)
Juan Miguel García-Gómez, Juan Gómez-Sanchís, Pablo Escandell-Montero, Elies Fuster-García, Emilio Soria-Olivas
Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors. Comput. Biol. Medicine 43 (11) (2013)
Joan Vila-Francés, Juan Gómez-Sanchís, Emilio Soria-Olivas, Antonio José Serrano, Marcelino Martínez-Sober, Clara Bonanad, Silvia Ventura
Expert system for predicting unstable angina based on Bayesian networks. Expert Syst. Appl. 40 (12) (2013)
Juan Caravaca, Antonio J. Serrano-López, Emilio Soria-Olivas, Manuel Bataller, Alfredo Rosado Muñoz, Luís Such-Belenguer, Juan-Francisco Guerrero-Martínez
Temporal Evolution of Spatial Regularity in Ventricular Fibrillation Modified by Physical Exercise. CinC (2013)
José Ferrer-Buedo, Marcelino Martínez-Sober, Yasser Alakhdar-Mohmara, Emilio Soria-Olivas, Josep-Carles Benítez-Martínez, José María Martínez-Martínez
Matlab-based interface for the simultaneous acquisition of force measures and Doppler ultrasound muscular images. Comput. Methods Programs Biomed. 110 (1) (2013)
Emili Balaguer-Ballester, Alberto Palomares, Emilio Soria-Olivas, José David Martín-Guerrero
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]. Expert Syst. Appl. 40 (18) (2013)
Fernando Mateo, Juan José Carrasco, Mónica Millán-Giraldo, Abderrahim Sellami, Pablo Escandell-Montero, José María Martínez-Martínez, Emilio Soria-Olivas
Machine Learning Techniques for Short-Term Electric Power Demand Prediction. ESANN (2013)
Fernando Mateo, Juan José Carrasco, Mónica Millán-Giraldo, Abderrahim Sellami, Pablo Escandell-Montero, José María Martínez-Martínez, Emilio Soria-Olivas
Temperature Forecast in Buildings Using Machine Learning Techniques. ESANN (2013)
Juan Caravaca, Antonio J. Serrano-López, Emilio Soria-Olivas, Manuel Bataller, Alfredo Rosado Muñoz, Luís Such-Belenguer, Juan-Francisco Guerrero-Martínez
Effects of Physical Exercise and Glibenclamide in Local Activation Waves During Ventricular Fibrillation. CinC (2013)
Alfredo Rosado Muñoz, José María Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas
Visual data mining with self-organising maps for ventricular fibrillation analysis. Comput. Methods Programs Biomed. 111 (2) (2013)
José María Martínez-Martínez, Pablo Escandell-Montero, José David Martín-Guerrero, Joan Vila-Francés, Emilio Soria-Olivas
ManiSonS: A New Visualization Tool for Manifold Clustering. ESANN (2013)
Fernando Mateo, Juan José Carrasco, Abderrahim Sellami, Mónica Millán-Giraldo, Manuel Domínguez, Emilio Soria-Olivas
Machine learning methods to forecast temperature in buildings. Expert Syst. Appl. 40 (4) (2013)
Juan Gómez-Sanchís, José David Martín-Guerrero, Emilio Soria-Olivas, Marcelino Martínez-Sober, José Rafael Magdalena Benedito, José Blasco
Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques. Expert Syst. Appl. 39 (1) (2012)
Pablo Escandell-Montero, José María Martínez-Martínez, Emilio Soria-Olivas, Josep Guimerá-Tomás, Marcelino Martínez-Sober, Antonio J. Serrano-López
Regularized Committee of Extreme Learning Machine for Regression Problems. ESANN (2012)
Taras Iakymchuk, Alfredo Rosado, Emilio Soria-Olivas, Manuel Bataller
Implementation of a new adaptive algorithm using fuzzy cost function and robust to impulsive noise. ICECS (2012)
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
Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients. Expert Syst. Appl. 39 (10) (2012)
José María Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas, José David Martín-Guerrero, Juan Gómez-Sanchís, Joan Vila-Francés
extended visualization method for classification trees. ESANN (2012)
Juan Caravaca, Antonio J. Serrano-López, Emilio Soria-Olivas, Pablo Escandell-Montero, José María Martínez-Martínez, Juan-Francisco Guerrero-Martínez
Analysis of ventricular fibrillation signals using feature selection methods. CIP (2012)
Juan José Carrasco Fernández, Emilio Soria-Olivas, Juan Gómez-Sanchís, Antonio José Serrano, Antonio Soriano-Asensi, Juan-Francisco Guerrero-Martínez
MATLAB-based educational software for exploratory data analysis (EDA toolkit). Comput. Appl. Eng. Educ. 20 (2) (2012)
Antonio Geraldo-Ferreira, Emilio Soria-Olivas, Juan Gómez-Sanchís, Antonio J. Serrano-López, Almudena Velázquez-Blazquez, Ernesto López-Baeza
Modelling net radiation at surface using "in situ" netpyrradiometer measurements with artificial neural networks. Expert Syst. Appl. 38 (11) (2011)
José María Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas, José David Martín-Guerrero, José Rafael Magdalena Benedito, Juan Gómez-Sanchís
Regularized extreme learning machine for regression problems. Neurocomputing 74 (17) (2011)
José María Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas, José David Martín-Guerrero, Marcelino Martínez-Sober, Juan Gómez-Sanchís
Sectors on sectors (SonS): A new hierarchical clustering visualization tool. CIDM (2011)
Emilio Soria-Olivas, Juan Gómez-Sanchís, José David Martín-Guerrero, Joan Vila-Francés, Marcelino Martínez-Sober, José Rafael Magdalena Benedito, Antonio J. Serrano
BELM: Bayesian Extreme Learning Machine. IEEE Trans. Neural Networks 22 (3) (2011)
Alfredo Rosado Muñoz, Manuel Bataller-Mompeán, Emilio Soria-Olivas, Claudio Scarante, Juan Guerrero-Martínez
FPGA Implementation of an Adaptive Filter Robust to Impulsive Noise: Two Approaches. IEEE Trans. Ind. Electron. 58 (3) (2011)
José M. Martínez-Villena, Pablo Escandell-Montero, Emilio Soria-Olivas, José David Martín-Guerrero, Juan Gómez, Joan Vila-Francés
Growing Hierarchical Sectors on Sectors. ESANN (2011)
Vicente Buendia-Ramon, Emilio Soria-Olivas, José David Martín-Guerrero, Pablo Escandell-Montero, José M. Martínez-Villena
Analysis of a Reinforcement Learning algorithm using Self-Organizing Maps. ESANN (2011)
Pablo Escandell-Montero, José María Martínez-Martínez, José David Martín-Guerrero, Emilio Soria-Olivas, Joan Vila-Francés, José Rafael Magdalena Benedito
Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach. CIDM (2011)
Emilio Soria-Olivas, José David Martín-Guerrero, Mónica Climente-Martí, Amparo Soldevila, Antonio J. Serrano
Neural models for the analysis of kidney disease patients. ESANN (2010)
Emilio Soria-Olivas, José David Martín-Guerrero, Marcelino Martínez-Sober, Amparo Ayuso-Moya
Description and evaluation of an introductory course to Matlab for a heterogeneous group of university students. Comput. Appl. Eng. Educ. 18 (4) (2010)
Antonio J. Serrano, Emilio Soria-Olivas, José David Martín-Guerrero, Rafael Magdalena, Juan Gómez
Feature selection using ROC curves on classification problems. IJCNN (2010)
Rafael Magdalena, Carlos Fernández, José David Martín-Guerrero, Emilio Soria-Olivas, Marcelino Martínez-Sober, M. J. Navarro, C. Mata
Qualitative analysis of goat and sheep production data using self-organizing maps. Expert Syst. J. Knowl. Eng. 26 (2) (2009)
Emilio Soria-Olivas, José David Martín-Guerrero, Juan Caravaca, Antonio J. Serrano, Marcelino Martínez-Sober, Rafael Magdalena, Juan Gómez, Magdalena Heras, Gines Sanz
Survival prediction in patients undergoing ischemic cardiopathy. IJCNN (2009)
Gabriel Gómez-Pérez, José David Martín-Guerrero, Emilio Soria-Olivas, Emili Balaguer-Ballester, Alberto Palomares, Nicolás Casariego
Assigning discounts in a marketing campaign by using reinforcement learning and neural networks. Expert Syst. Appl. 36 (4) (2009)
José David Martín-Guerrero, Faustino J. Gomez, Emilio Soria-Olivas, Jürgen Schmidhuber, Mónica Climente-Martí, N. Víctor Jiménez-Torres
A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients. Expert Syst. Appl. 36 (6) (2009)
José David Martín-Guerrero, Emilio Soria-Olivas, Marcelino Martínez-Sober, Antonio J. Serrano-López, José Rafael Magdalena Benedito, Juan Gómez-Sanchís
Use of Reinforcement Learning in Two Real Applications. EWRL (2008)
Emili Balaguer, Alberto Palomares, Emilio Soria-Olivas, José David Martín-Guerrero
Predicting service request in support centers based on nonlinear dynamics, ARMA modeling and neural networks. Expert Syst. Appl. 34 (1) (2008)
Antonio Soriano-Asensi, José David Martín-Guerrero, Emilio Soria-Olivas, Alberto Palomares, José Rafael Magdalena Benedito, Antonio J. Serrano-López
Web mining based on Growing Hierarchical Self-Organizing Maps: Analysis of a real citizen web portal. Expert Syst. Appl. 34 (4) (2008)
Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, N. Víctor Jiménez
Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines. IEEE Trans. Syst. Man Cybern. Part C 37 (3) (2007)
Emilio Soria-Olivas, José David Martín-Guerrero, Antonio J. Serrano-López, Javier Calpe-Maravilla, Jonathon A. Chambers
Steady-state and tracking analysis of a robust adaptive filter with low computational cost. Signal Process. 87 (1) (2007)
Juan Guerrero-Martínez, Manuel Bataller-Mompeán, Emilio Soria-Olivas, Rafael Magdalena
BioLab: An Educational Tool for Signal Processing Training in Biomedical Engineering. IEEE Trans. Educ. 50 (1) (2007)
José David Martín-Guerrero, Emilio Soria-Olivas, Marcelino Martínez-Sober, Mónica Climente-Martí, Teresa De Diego-Santos, N. Víctor Jiménez
Validation of a Reinforcement Learning Policy for Dosage Optimization of Erythropoietin. Australian Conference on Artificial Intelligence (2007)
Carlos Fernández, Emilio Soria-Olivas, P. Sánchez-Seiquer, Luis Gómez-Chova, Rafael Magdalena, José David Martín-Guerrero, M. J. Navarro, Antonio J. Serrano-López
Weekly milk prediction on dairy goats using neural networks. Neural Comput. Appl. 16 (4-5) (2007)
Emilio Soria-Olivas, José David Martín-Guerrero, Marcelino Martínez-Sober, Alfredo Rosado, Javier Calpe
A Family of Adaptive Algorithms Robust to Impulsive Noise. DSP (2007)
Tatyana V. Bandos, Gustavo Camps-Valls, Emilio Soria-Olivas
Statistical criteria for early-stopping of support vector machines. Neurocomputing 70 (13-15) (2007)
José David Martín-Guerrero, Paulo J. G. Lisboa, Emilio Soria-Olivas, Alberto Palomares, Emili Balaguer
An approach based on the Adaptive Resonance Theory for analysing the viability of recommender systems in a citizen Web portal. Expert Syst. Appl. 33 (3) (2007)
José David Martín-Guerrero, Alberto Palomares, Emili Balaguer-Ballester, Emilio Soria-Olivas, Juan Gómez-Sanchís, Antonio Soriano-Asensi
Studying the feasibility of a recommender in a citizen web portal based on user modeling and clustering algorithms. Expert Syst. Appl. 30 (2) (2006)
Luis Gómez-Chova, Diego Fernández-Prieto, Javier Calpe-Maravilla, Emilio Soria-Olivas, Joan Vila-Francés, Gustavo Camps-Valls
Urban monitoring using multi-temporal SAR and multi-spectral data. Pattern Recognit. Lett. 27 (4) (2006)
C. A. DeJuan-Esteban, Alfredo Rosado Muñoz, Emilio Soria-Olivas, Manuel Bataller-Mompeán, Juan Guerrero-Martínez
An approach to Co-design of Complex Adaptive Systems. ReCoSoC (2006)
Gustavo Camps-Valls, Luis Gómez-Chova, Joan Vila-Francés, José David Martín-Guerrero, Antonio J. Serrano-López, Emilio Soria-Olivas
Enhancing decision-based neural networks through local competition. Neurocomputing 69 (7-9) (2006)
Emilio Soria-Olivas, Gustavo Camps-Valls, José David Martín-Guerrero, Javier Calpe-Maravilla, Joan Vila-Francés, Antonio J. Serrano-López
Non-linear RLS-based algorithm for pattern classification. Signal Process. 86 (5) (2006)
Carlos Fernández, Emilio Soria-Olivas, José David Martín-Guerrero, Antonio J. Serrano
Neural networks for animal science applications: Two case studies. Expert Syst. Appl. 31 (2) (2006)
Emilio Soria-Olivas, José David Martín-Guerrero, Antonio J. Serrano-López, Javier Calpe-Maravilla, Joan Vila-Francés, Gustavo Camps-Valls
Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function. Neurocomputing 69 (7-9) (2006)
Manel Martínez-Ramón, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Jordi Muñoz-Marí, Ángel Navia-Vázquez, Emilio Soria-Olivas, Aníbal R. Figueiras-Vidal
Support Vector Machines for Nonlinear Kernel ARMA System Identification. IEEE Trans. Neural Networks 17 (6) (2006)
José Luis Rojo-Álvarez, Gustavo Camps-Valls, Manel Martínez-Ramón, Emilio Soria-Olivas, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
Support vector machines framework for linear signal processing. Signal Process. 85 (12) (2005)
Alfredo Rosado Muñoz, Emilio Soria-Olivas, Joan Vila-Francés, Jordi Muñoz-Marí, Javier Calpe-Maravilla
Implementation Challenges in Complex Adaptive Systems. ReCoSoC (2005)
Ignacio García-Fernández, José David Martín-Guerrero, Marta Pla-Castells, Emilio Soria-Olivas, Rafael J. Martínez-Durá, Jordi Muñoz-Marí
Crane collision modelling using a neural network approach. Expert Syst. Appl. 27 (3) (2004)
Gustavo Camps-Valls, Luis Gómez-Chova, Javier Calpe-Maravilla, José David Martín-Guerrero, Emilio Soria-Olivas, Luis Alonso-Chorda, José F. Moreno
Robust support vector method for hyperspectral data classification and knowledge discovery. IEEE Trans. Geosci. Remote. Sens. 42 (7) (2004)
Gustavo Camps-Valls, Marcelino Martínez-Sober, Emilio Soria-Olivas, José Rafael Magdalena Benedito, Javier Calpe-Maravilla, Juan Guerrero-Martínez
Foetal ECG recovery using dynamic neural networks. Artif. Intell. Medicine 31 (3) (2004)
Emilio Soria-Olivas, Javier Calpe-Maravilla, Jonathon A. Chambers, Marcelino Martínez-Sober, Gustavo Camps-Valls, José David Martín-Guerrero
A novel approach to introducing adaptive filters based on the LMS algorithm and its variants. IEEE Trans. Educ. 47 (1) (2004)
Gustavo Camps-Valls, Manel Martínez-Ramón, José Luis Rojo-Álvarez, Emilio Soria-Olivas
-filter using support vector machines. Neurocomputing 62 (2004)
José David Martín-Guerrero, Emili Balaguer-Ballester, Gustavo Camps-Valls, Alberto Palomares, Antonio J. Serrano-López, Juan Gómez-Sanchís, Emilio Soria-Olivas
Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories. AH (2004)
Rafael Magdalena, Antonio J. Serrano, Agustin Serrano, Jorge Muñoz, Joan Vila-Francés, Emilio Soria-Olivas
Design of a Neural Network Model as a Decision Making Aid in Renal Transplant. ISBMDA (2004)
Gustavo Camps-Valls, José David Martín-Guerrero, José Luis Rojo-Álvarez, Emilio Soria-Olivas
Fuzzy sigmoid kernel for support vector classifiers. Neurocomputing 62 (2004)
Emilio Soria-Olivas, José David Martín-Guerrero, Gustavo Camps-Valls, Antonio J. Serrano-López, Javier Calpe-Maravilla, Luis Gómez-Chova
A low-complexity fuzzy activation function for artificial neural networks. IEEE Trans. Neural Networks 14 (6) (2003)

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Publication Activity (10 Years)

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Emilio Soria-Olivas