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Emilio Soria-Olivas
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2020 – today
- 2024
- [j65]Pablo Rodríguez-Belenguer
, José Luis Piñana
A machine learning approach to identify groups of patients with hematological malignant disorders. Comput. Methods Programs Biomed. 246: 108011 (2024) - [j64]Pablo Rodríguez-Belenguer
Integrating Mechanistic and Toxicokinetic Information in Predictive Models of Cholestasis. J. Chem. Inf. Model. 64(7): 2775-2788 (2024) - [i5]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 abs/2405.11960 (2024) - 2023
- [j63]Iván Vallés-Pérez
Empirical study of the modulus as activation function in computer vision applications. Eng. Appl. Artif. Intell. 120: 105863 (2023) - [j62]Jose Llanes-Jurado
Automatic artifact recognition and correction for electrodermal activity based on LSTM-CNN models. Expert Syst. Appl. 230: 120581 (2023) - [c41]Alejandro Grande-Fidalgo
Challenges in ECG Lead Reconstruction in Patients with Pacemakers and Implantable Defibrillators. ICBRA 2023: 101-106 - [i4]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 abs/2301.05993 (2023) - 2022
- [j61]Iván Vallés-Pérez
Approaching sales forecasting using recurrent neural networks and transformers. Expert Syst. Appl. 201: 116993 (2022) - [i3]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 abs/2204.07786 (2022) - 2021
- [j60]Jose Selvi
Toward Optimal LSTM Neural Networks for Detecting Algorithmically Generated Domain Names. IEEE Access 9: 126446-126456 (2021) - [j59]Fernando Mateo, Juan José Garcés-Iniesta, Berthold Jenninger, Juan Gómez-Sanchís
Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification. Expert Syst. Appl. 178: 114959 (2021) - [j58]Alejandro Grande-Fidalgo
Lead Reconstruction Using Artificial Neural Networks for Ambulatory ECG Acquisition. Sensors 21(16): 5542 (2021) - [c40]Iván Vallés-Pérez, Juan Gómez-Sanchís, Marcelino Martínez-Sober, Joan Vila-Francés
End-to-end Keyword Spotting using Xception-1d. ESANN 2021 - [i2]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 abs/2110.07498 (2021)
2010 – 2019
- 2019
- [j57]Jose Selvi, Ricardo J. Rodríguez
Detection of algorithmically generated malicious domain names using masked N-grams. Expert Syst. Appl. 124: 156-163 (2019) - [j56]Sergio Castro-Garcia
Vibration Monitoring of the Mechanical Harvesting of Citrus to Improve Fruit Detachment Efficiency. Sensors 19(8): 1760 (2019) - 2018
- [j55]Fernando Mateo
HemoKinect: A Microsoft Kinect V2 Based Exergaming Software to Supervise Physical Exercise of Patients with Hemophilia. Sensors 18(8): 2439 (2018) - [c39]Francisco Grimaldo, Emilia López-Iñesta
Tweet Sentiment Visualization and Classification Using Manifold Dimensionality Reduction. CCIA 2018: 227-236 - 2017
- [j54]José María Martínez-Martínez, José David Martín-Guerrero
Use of SOMs for footwear comfort evaluation. Neural Comput. Appl. 28(7): 1763-1773 (2017) - [c38]Claudio Gallicchio, José David Martín-Guerrero, Alessio Micheli, Emilio Soria-Olivas:
Randomized Machine Learning Approaches: Recent Developments and Challenges. ESANN 2017 - 2016
- [j53]Juan José Carrasco Fernández
ELM Regularized Method for Classification Problems. Int. J. Artif. Intell. Tools 25(1): 1550026:1-1550026:15 (2016) - [j52]Pablo Escandell-Montero
Online fitted policy iteration based on extreme learning machines. Knowl. Based Syst. 100: 200-211 (2016) - [j51]Gonzalo Vergara, Juan Ignacio Alonso-Barba, Emilio Soria-Olivas
Random extreme learning machines to predict electric load in buildings. Prog. Artif. Intell. 5(2): 129-135 (2016) - [j50]José María Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas
A new visualization tool for data mining techniques. Prog. Artif. Intell. 5(2): 137-154 (2016) - [c37]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 - 2015
- [c36]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 - [c35]Emilio Soria-Olivas
Improving Mortality Prediction in Cardiovascular Risk Patients by Balancing Classes. ICDM Workshops 2015: 480-484 - [c34]Gonzalo Vergara, Javier Cózar, Cristina Romero-González, José A. Gámez
Comparing ELM Against MLP for Electrical Power Prediction in Buildings. IWINAC (2) 2015: 409-418 - [i1]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 abs/1509.03977 (2015) - 2014
- [j49]José M. Martínez-Villena, Alfredo Rosado Muñoz
Hardware implementation methods in Random Vector Functional-Link Networks. Appl. Intell. 41(1): 184-195 (2014) - [j48]Pablo Escandell-Montero
Optimization of anemia treatment in hemodialysis patients via reinforcement learning. Artif. Intell. Medicine 62(1): 47-60 (2014) - [j47]Juan Caravaca
Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation. Comput. Biol. Medicine 45: 1-7 (2014) - [j46]José María Martínez-Martínez
Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques. Comput. Methods Programs Biomed. 117(2): 208-217 (2014) - [j45]Pablo Escandell-Montero, José María Martínez-Martínez
Least-squares temporal difference learning based on an extreme learning machine. Neurocomputing 141: 37-45 (2014) - [c33]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 - 2013
- [j44]Juan Miguel García-Gómez
Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors. Comput. Biol. Medicine 43(11): 1863-1869 (2013) - [j43]José Ferrer-Buedo, Marcelino Martínez-Sober
Matlab-based interface for the simultaneous acquisition of force measures and Doppler ultrasound muscular images. Comput. Methods Programs Biomed. 110(1): 76-81 (2013) - [j42]Alfredo Rosado Muñoz
Visual data mining with self-organising maps for ventricular fibrillation analysis. Comput. Methods Programs Biomed. 111(2): 269-279 (2013) - [j41]Fernando Mateo
Machine learning methods to forecast temperature in buildings. Expert Syst. Appl. 40(4): 1061-1068 (2013) - [j40]Joan Vila-Francés
Expert system for predicting unstable angina based on Bayesian networks. Expert Syst. Appl. 40(12): 5004-5010 (2013) - [j39]Emili Balaguer-Ballester
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): 7657 (2013) - [c32]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: 1083-1086 - [c31]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: 1087-1090 - [c30]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 - [c29]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 - [c28]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 - [c27]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 - [c26]José María Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas, Joan Vila-Francés, José Rafael Magdalena Benedicto:
Bayesian Regularized Committee of Extreme Learning Machine. ICPRAM 2013: 109-114 - 2012
- [j38]Juan José Carrasco Fernández
MATLAB-based educational software for exploratory data analysis (EDA toolkit). Comput. Appl. Eng. Educ. 20(2): 313-320 (2012) - [j37]Juan Gómez-Sanchís
Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques. Expert Syst. Appl. 39(1): 780-785 (2012) - [j36]José David Martín-Guerrero
Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients. Expert Syst. Appl. 39(10): 8793-8798 (2012) - [c25]Juan Caravaca, Antonio J. Serrano-López
Analysis of ventricular fibrillation signals using feature selection methods. CIP 2012: 1-6 - [c24]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 - [c23]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 - [c22]Taras Iakymchuk, Alfredo Rosado
Implementation of a new adaptive algorithm using fuzzy cost function and robust to impulsive noise. ICECS 2012: 45-48 - 2011
- [j35]Antonio Geraldo-Ferreira, Emilio Soria-Olivas
Modelling net radiation at surface using "in situ" netpyrradiometer measurements with artificial neural networks. Expert Syst. Appl. 38(11): 14190-14195 (2011) - [j34]José María Martínez-Martínez
Regularized extreme learning machine for regression problems. Neurocomputing 74(17): 3716-3721 (2011) - [j33]Alfredo Rosado Muñoz
FPGA Implementation of an Adaptive Filter Robust to Impulsive Noise: Two Approaches. IEEE Trans. Ind. Electron. 58(3): 860-870 (2011) - [j32]Emilio Soria-Olivas
BELM: Bayesian Extreme Learning Machine. IEEE Trans. Neural Networks 22(3): 505-509 (2011) - [c21]Pablo Escandell-Montero, José María Martínez-Martínez, José David Martín-Guerrero, Emilio Soria-Olivas
Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach. CIDM 2011: 44-49 - [c20]José María Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas
Sectors on sectors (SonS): A new hierarchical clustering visualization tool. CIDM 2011: 304-309 - [c19]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 - [c18]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 - 2010
- [j31]Emilio Soria-Olivas
Description and evaluation of an introductory course to Matlab for a heterogeneous group of university students. Comput. Appl. Eng. Educ. 18(4): 750-756 (2010) - [c17]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 - [c16]Antonio J. Serrano
Feature selection using ROC curves on classification problems. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [j30]Rafael Magdalena
Qualitative analysis of goat and sheep production data using self-organizing maps. Expert Syst. J. Knowl. Eng. 26(2): 191-201 (2009) - [j29]Gabriel Gómez-Pérez, José David Martín-Guerrero
Assigning discounts in a marketing campaign by using reinforcement learning and neural networks. Expert Syst. Appl. 36(4): 8022-8031 (2009) - [j28]José David Martín-Guerrero
A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients. Expert Syst. Appl. 36(6): 9737-9742 (2009) - [c15]Emilio Soria-Olivas
Survival prediction in patients undergoing ischemic cardiopathy. IJCNN 2009: 2979-2982 - [r1]José David Martín-Guerrero, Emilio Soria-Olivas, Paulo J. G. Lisboa, Antonio J. Serrano-López:
An AI Walk from Pharmacokinetics to A Marketing. Encyclopedia of Artificial Intelligence 2009: 71-75 - 2008
- [j27]Emili Balaguer
Predicting service request in support centers based on nonlinear dynamics, ARMA modeling and neural networks. Expert Syst. Appl. 34(1): 665-672 (2008) - [j26]Antonio Soriano-Asensi
Web mining based on Growing Hierarchical Self-Organizing Maps: Analysis of a real citizen web portal. Expert Syst. Appl. 34(4): 2988-2994 (2008) - [c14]José David Martín-Guerrero, Emilio Soria-Olivas
Use of Reinforcement Learning in Two Real Applications. EWRL 2008: 191-204 - 2007
- [j25]José David Martín-Guerrero
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): 743-753 (2007) - [j24]Tatyana V. Bandos
Statistical criteria for early-stopping of support vector machines. Neurocomputing 70(13-15): 2588-2592 (2007) - [j23]Carlos Fernández
Weekly milk prediction on dairy goats using neural networks. Neural Comput. Appl. 16(4-5): 373-381 (2007) - [j22]Emilio Soria-Olivas
Steady-state and tracking analysis of a robust adaptive filter with low computational cost. Signal Process. 87(1): 210-215 (2007) - [j21]Juan Guerrero-Martínez
BioLab: An Educational Tool for Signal Processing Training in Biomedical Engineering. IEEE Trans. Educ. 50(1): 34-40 (2007) - [j20]Gustavo Camps-Valls
Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines. IEEE Trans. Syst. Man Cybern. Part C 37(3): 359-372 (2007) - [c13]José David Martín-Guerrero, Emilio Soria-Olivas
Validation of a Reinforcement Learning Policy for Dosage Optimization of Erythropoietin. Australian Conference on Artificial Intelligence 2007: 732-738 - [c12]Emilio Soria-Olivas
A Family of Adaptive Algorithms Robust to Impulsive Noise. DSP 2007: 23-26 - 2006
- [j19]José David Martín-Guerrero
Studying the feasibility of a recommender in a citizen web portal based on user modeling and clustering algorithms. Expert Syst. Appl. 30(2): 299-312 (2006) - [j18]Carlos Fernández
Neural networks for animal science applications: Two case studies. Expert Syst. Appl. 31(2): 444-450 (2006) - [j17]Gustavo Camps-Valls
Enhancing decision-based neural networks through local competition. Neurocomputing 69(7-9): 905-908 (2006) - [j16]Emilio Soria-Olivas
Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function. Neurocomputing 69(7-9): 909-912 (2006) - [j15]Luis Gómez-Chova
Urban monitoring using multi-temporal SAR and multi-spectral data. Pattern Recognit. Lett. 27(4): 234-243 (2006) - [j14]Emilio Soria-Olivas
Non-linear RLS-based algorithm for pattern classification. Signal Process. 86(5): 1104-1108 (2006) - [j13]Manel Martínez-Ramón, José Luis Rojo-Álvarez
Support Vector Machines for Nonlinear Kernel ARMA System Identification. IEEE Trans. Neural Networks 17(6): 1617-1622 (2006) - [c11]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: 139-145 - 2005
- [j12]José Luis Rojo-Álvarez
Support vector machines framework for linear signal processing. Signal Process. 85(12): 2316-2326 (2005) - [c10]Alfredo Rosado Muñoz, Emilio Soria-Olivas, Joan Vila-Francés, Jordi Muñoz-Marí, Javier Calpe-Maravilla:
Implementation Challenges in Complex Adaptive Systems. ReCoSoC 2005: 157-162 - 2004
- [j11]Gustavo Camps-Valls
Foetal ECG recovery using dynamic neural networks. Artif. Intell. Medicine 31(3): 197-209 (2004) - [j10]Ignacio García-Fernández
Crane collision modelling using a neural network approach. Expert Syst. Appl. 27(3): 341-348 (2004) - [j9]Gustavo Camps-Valls
Robust gamma-filter using support vector machines. Neurocomputing 62: 493-499 (2004) - [j8]Gustavo Camps-Valls
Fuzzy sigmoid kernel for support vector classifiers. Neurocomputing 62: 501-506 (2004) - [j7]Emilio Soria-Olivas
A novel approach to introducing adaptive filters based on the LMS algorithm and its variants. IEEE Trans. Educ. 47(1): 127-133 (2004) - [j6]Gustavo Camps-Valls
Robust support vector method for hyperspectral data classification and knowledge discovery. IEEE Trans. Geosci. Remote. Sens. 42(7): 1530-1542 (2004) - [c9]José David Martín-Guerrero, Emili Balaguer-Ballester, Gustavo Camps-Valls, Alberto Palomares, Antonio J. Serrano-López, Juan Gómez-Sanchís
Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories. AH 2004: 421-424 - [c8]Rafael Magdalena
Design of a Neural Network Model as a Decision Making Aid in Renal Transplant. ISBMDA 2004: 160-170 - 2003
- [j5]José David Martín-Guerrero
Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failure. Comput. Biol. Medicine 33(4): 361-373 (2003) - [j4]Gustavo Camps-Valls
Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks. IEEE Trans. Biomed. Eng. 50(4): 442-448 (2003) - [j3]José David Martín-Guerrero
Dosage individualization of erythropoietin using a profile-dependent support vector regression. IEEE Trans. Biomed. Eng. 50(10): 1136-1142 (2003) - [j2]Emilio Soria-Olivas
A low-complexity fuzzy activation function for artificial neural networks. IEEE Trans. Neural Networks 14(6): 1576-1579 (2003) - [c7]Gustavo Camps-Valls, Luis Gómez-Chova
Support Vector Machines for Crop Classification Using Hyperspectral Data. IbPRIA 2003: 134-141 - [c6]Luis Gómez-Chova
CART-based feature selection of hyperspectral images for crop cover classification. ICIP (3) 2003: 589-592 - [c5]Luis Gómez-Chova
Feature selection of hyperspectral data through local correlation and SFFS for crop classification. IGARSS 2003: 555-557 - [c4]Luis Gómez-Chova
Semi-supervised classification method for hyperspectral remote sensing images. IGARSS 2003: 1776-1778 - 2002
- [c3]Fernando Pérez-Cruz
Multi-dimensional Function Approximation and Regression Estimation. ICANN 2002: 757-762 - 2001
- [c2]Gustavo Camps-Valls, Emilio Soria-Olivas
Neural Networks Ensemble for Cyclosporine Concentration Monitoring. ICANN 2001: 706-711 - [c1]Antonio J. Serrano-López
Some Examples for Solving Clinical Problems Using Neural Networks. IWANN (2) 2001: 345-352
1990 – 1999
- 1998
- [j1]Emilio Soria-Olivas, Marcelino Martínez-Sober, Javier Calpe-Maravilla, Juan-Francisco Guerrero-Martínez, Javier Chorro-Gascó, José Espí-López:
Application of adaptive signal processing for determining the limits of P and T waves in an ECG. IEEE Trans. Biomed. Eng. 45(8): 1077-1080 (1998)
Coauthor Index
Javier Calpe-Maravilla
aka: Javier Calpe
aka: Javier Calpe
Gustau Camps-Valls
aka: Gustavo Camps-Valls
aka: Gustavo Camps-Valls
Juan Guerrero-Martínez
aka: Juan-Francisco Guerrero-Martínez
aka: Juan-Francisco Guerrero-Martínez
José D. Martín-Guerrero
aka: José David Martín-Guerrero
aka: José David Martín-Guerrero
[j54] [c38] [j52] [j50] [c35] [i1] [j48] [j46] [j45] [c33] [j39] [c30] [c29] [j37] [j36] [c23] [j34] [j32] [c21] [c20] [c19] [c18] [j31] [c17] [c16] [j30] [j29] [j28] [c15] [r1] [j27] [j26] [c14] [j25] [j23] [j22] [c13] [c12] [j19] [j18] [j17] [j16] [j14] [j10] [j8] [j7] [j6] [c9] [j5] [j4] [j3] [j2] [c7] [c6] [c5] [c4] [c2] [c1]
Antonio J. Serrano
aka: Antonio José Serrano
aka: Antonio J. Serrano-López
aka: Antonio José Serrano-López
aka: Antonio José Serrano
aka: Antonio J. Serrano-López
aka: Antonio José Serrano-López
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