Published in Current Opinion in Organ Transplantation, 2020
JCR(2019): 2.571 Position: 13/24 (Q3) Category: TRANSPLANTATION
Recommended citation: David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Machine learning methods in organ transplantation." Current Opinion in Organ Transplantation, Vol. 25(4), 2020, pp.399-405. http://doi.org/10.1097/MOT.0000000000000774
Published in Neurocomputing, 2020
JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.
Recommended citation: Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Cumulative link models for deep ordinal classification." Neurocomputing, Vol. 401, 2020, pp.48-58. http://doi.org/10.1016/j.neucom.2020.03.034
Published in Atmospheric Research, 2020
JCR(2019): 4.676 Position: 13/93 (Q1) Category: METEOROLOGY & ATMOSPHERIC SCIENCES
Recommended citation: David Guijo-Rubio, Carlos Casanova-Mateo, Juilia Sanz-Justo, Pedro Antonio Gutiérrez, Sara Cornejo-Bueno, César Hervás-Martínez, Sancho Salcedo-Sanz, "Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport." Atmospheric Research, Vol. 236, 2020, pp.104798. http://doi.org/10.1016/j.atmosres.2019.104798
Published in Applied Soft Computing, 2020
JCR(2019): 5.472 Position: 9/109 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Recommended citation: Alejandro Martín, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, David Camacho, César Hervás-Martínez, "Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm." Applied Soft Computing, Vol. 90, 2020, pp.106144. http://doi.org/10.1016/j.asoc.2020.106144
Published in Water, 2020
JCR(2019): 2.544 Position: 31/94 (Q2) Category: WATER RESOURCES – SCIE
Recommended citation: Carlos Castillo-Botón, David Casillas-Pérez, Carlos Casanova-Mateo, L.M. Moreno-Saavedra, B. Morales-Díaz, J. Sanz-Justo, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, "Analysis and Prediction of Dammed Water Level in a Hydropower Reservoir Using Machine Learning and Persistence-Based Techniques." Water, Vol. 12(6), 2020, pp.1528. http://dx.doi.org/10.3390/w12061528
Published in Neural Networks, 2020
JCR(2019): 5.535 Position: 19/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: Manuel Dorado-Moreno, N. Navarin, Pedro Antonio Gutiérrez, L. Prieto, A. Sperduti, Sancho Salcedo-Sanz, César Hervás-Martínez, "Multi-task learning for the prediction of wind power ramp events with deep neural networks." Neural Networks, Vol. 123, 2020, pp.401-411. http://doi.org/10.1016/j.neunet.2019.12.017
Published in Neural Computing and Applications, 2020
JCR(2019): 4.774 Position: 23/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: David Guijo-Rubio, Pedro Antonio Gutiérrez, Carlos Casanova-Mateo, Juan Carlos Fernández, Antonio Manuel Gómez-Orellana, Pablo Salvador-González, Sancho Salcedo-Sanz, César Hervás-Martínez, "Prediction of convective clouds formation using evolutionary neural computation techniques." Neural Computing and Applications, Vol. Accepted on 16th February, 2020. http://doi.org/10.1007/s00521-020-04795-w
Published in PLoS One, 2020
JCR(2019): 2.740 Position: 27/71 (Q2) Category: MULTIDISCIPLINARY SCIENCES
Recommended citation: Antonio Rivero-Juárez, David Guijo-Rubio, Francisco Téllez, Rosario Palacios, Dolores Merino, Juan Macías, Juan Carlos Fernández, Pedro Antonio Gutiérrez, Antonio Rivero, César Hervás-Martínez, "Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals." PLoS One, Vol. 15(1), 2020, pp.e0227188. http://doi.org/10.1371/journal.pone.0227188
Published in IEEE Transactions on Cybernetics, 2020
JCR(2019): 11.079 Position: 5/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Alicia Troncoso, César Hervás-Martínez, "Time series clustering based on the characterisation of segment typologies." IEEE Transactions on Cybernetics, 2020. http://doi.org/10.1109/TCYB.2019.2962584
Published in Neural Processing Letters, 2020
JCR(2019): 2.891 Position: 53/136 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Laura Cornejo-Bueno, Luis Prieto, Sancho Salcedo-Sanz, César Hervás-Martínez, "Ordinal multi-class architecture for predicting wind power ramp events based on reservoir computing." Neural Processing Letters, Vol. Accepted on 2018/09/19, 2020. http://doi.org/10.1007/s11063-018-9922-5
Published in Energy, 2020
JCR(2019): 6.082 Position: 3/61 (Q1) Category: THERMODYNAMICS
Recommended citation: David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Antonio Manuel Gómez-Orellana, Carlos Casanova-Mateo, Julia Sanz-Justo, Sancho Salcedo-Sanz, César Hervás-Martínez, "Evolutionary artificial neural networks for accurate solar radiation prediction." Energy, Vol. Accepted on 11th June, 2020.
Published in Progress in Artificial Intelligence, 2019
Recommended citation: María Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera, "OCAPIS: R package for Ordinal Classification and Preprocessing in Scala." Progress in Artificial Intelligence, Vol. 8(3), 2019, pp.287-292. http://doi.org/10.1007/s13748-019-00175-1
Published in Neurocomputing, 2019
JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.
Recommended citation: Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Angel Carmona-Poyato, César Hervás-Martínez, "A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation." Neurocomputing, Vol. 353, 2019, pp.45--55. http://doi.org/10.1016/j.neucom.2018.05.129
Published in Progress in Artificial Intelligence, 2019
Recommended citation: Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, "Dynamical Memetization in Coral Reef Optimization Algorithms for Optimal Time Series Approximation." Progress in Artificial Intelligence, Vol. 8(2), 2019, pp.253-262. http://doi.org/10.1007/s13748-019-00176-0
Published in Neurocomputing, 2019
JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.
Recommended citation: José-Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García, "Monotonic classification: An overview on algorithms, performance measures and data sets." Neurocomputing, Vol. 341, 2019, pp.168-182. http://doi.org/10.1016/j.neucom.2019.02.024
Published in Neurocomputing, 2019
JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.
Recommended citation: María Pérez-Ortiz, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, A. Nikolaou, Francisco Fernandez-Navarro, César Hervás-Martínez, "On the use of evolutionary time series analysis for segmenting paleoclimate data." Neurocomputing, Vol. 326-327, 2019, pp.3-14. http://doi.org/10.1016/j.neucom.2016.11.101
Published in Journal of Machine Learning Research, 2019
JCR(2019): 3.484 Position: 40/136 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.
Recommended citation: Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, María Pérez-Ortiz, "ORCA: A Matlab/Octave Toolbox for Ordinal Regression." Journal of Machine Learning Research, Vol. 20(125), 2019, pp.1--5. http://www.jmlr.org/papers/v20/
Published in Applied Intelligence, 2019
JCR(2019): 3.325 Position: 42/136 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: Juan Carlos Fernández, Mariano Carbonero-Ruz, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Multi-objective evolutionary optimization using the relationship between F1 and accuracy metrics in classification tasks." Applied Intelligence, Vol. 49(9), 2019, pp.3447-3463. http://doi.org/10.1007/s10489-019-01447-y
Published in Atmospheric Research, 2018
JCR(2018): 4.114 Position: 13/86 (Q1) Category: METEOROLOGY & ATMOSPHERIC SCIENCES
Recommended citation: David Guijo-Rubio, Pedro Antonio Gutiérrez, Carlos Casanova-Mateo, Julia Sanz-Justo, Sancho Salcedo-Sanz, César Hervás-Martínez, "Prediction of low-visibility events due to fog using ordinal classification." Atmospheric Research, Vol. 214, 2018, pp.64-73. http://doi.org/10.1016/j.atmosres.2018.07.017
Published in Information Sciences, 2018
JCR(2018): 5.524 Position: 9/155 (Q1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS
Recommended citation: Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Francisco José Martínez-Estudillo, César Hervás-Martínez, "Simultaneous optimisation of clustering quality and approximation error for time series segmentation." Information Sciences, Vol. 442-443, 2018, pp.186--201. http://doi.org/10.1016/j.ins.2018.02.041
Published in Applied Soft Computing, 2018
JCR(2018): 4.873 Position: 11/106 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: Javier Sánchez-Monedero, María Pérez-Ortiz, Aurora Sáez, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Partial order label decomposition approaches for melanoma diagnosis." Applied Soft Computing, Vol. 64, 2018, pp.341-355. http://doi.org/10.1016/j.asoc.2017.11.042
Published in Neural Computing and Applications, 2018
JCR(2018): 4.664 Position: 21/133 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: Francisco Fernandez-Navarro, Maria Angeles Cruz, Pedro Antonio Gutiérrez, Adiel Castaño-Méndez, César Hervás-Martínez, "Time series forecasting by recurrent product unit neural networks." Neural Computing and Applications, Vol. 29(3), 2018, pp.779-791. http://dx.doi.org/10.1007/s00521-016-2494-2
Published in Energy, 2018
JCR(2018): 5.537 Position: 3/60 (Q1) Category: THERMODYNAMICS
Recommended citation: M.D. Redel-Macías, César Hervás-Martínez, Pedro Antonio Gutiérrez, S. Pinzi, A.J. Cubero-Atienza, M.P. Dorado, "Computational models to predict noise emissions of a diesel engine fueled with saturated and monounsaturated fatty acid methyl esters." Energy, Vol. 144, 2018, pp.110-119. http://doi.org/10.1016/j.energy.2017.11.143
Published in Applied Soft Computing, 2018
JCR(2018): 4.873 Position: 20/134 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.
Recommended citation: Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, "A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series." Applied Soft Computing, Vol. 63, 2018, pp.139-153. http://doi.org/10.1016/j.asoc.2017.11.037
Published in Neural Processing Letters, 2017
JCR(2017): 1.787 Position: 63/132 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: Antonio Manuel Durán-Rosal, Mónica Paz, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Identifying market behaviours using European Stock Index time series by a hybrid segmentation algorithm." Neural Processing Letters, Vol. 46(3), 2017, pp.767-790. http://doi.org/10.1007/s11063-017-9592-8
Published in Ocean Engineering, 2017
JCR(2017): 2.214 Position: 2/14 (Q1) Category: ENGINEERING, MARINE
Recommended citation: Antonio Manuel Durán-Rosal, Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Detection and prediction of segments containing extreme significant wave heights." Ocean Engineering, Vol. 142, 2017, pp.268-279. http://doi.org/10.1016/j.oceaneng.2017.07.009
Published in Knowledge-Based Systems, 2017
JCR(2017): 4.396 Position: 14/132 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: María Pérez-Ortiz, Pedro Antonio Gutiérrez, M. D. Ayllón-Terán, N. Heaton, R. Ciria, J. Briceño, César Hervás-Martínez, "Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation." Knowledge-Based Systems, Vol. 123, 2017, pp.75--87. http://doi.org/10.1016/j.knosys.2017.02.020
Published in Renewable Energy, 2017
JCR(2017): 4.900 Position: 7/33 (Q1) Category: GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Recommended citation: Manuel Dorado-Moreno, Laura Cornejo-Bueno, Pedro Antonio Gutiérrez, Luis Prieto, César Hervás-Martínez, Sancho Salcedo-Sanz, "Robust estimation of wind power ramp events with reservoir computing." Renewable Energy, Vol. 111, 2017, pp.428-437. http://dx.doi.org/10.1016/j.renene.2017.04.016
Published in Progress in Artificial Intelligence, 2017
Recommended citation: Antonio Manuel Durán-Rosal, Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation." Progress in Artificial Intelligence, Vol. 6(1), 2017, pp.59-66. http://dx.doi.org/10.1007/s13748-016-0105-1
Published in Artificial Intelligence in Medicine, 2017
JCR(2017): 2.879 Position: 31/132 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: Manuel Dorado-Moreno, María Pérez-Ortiz, Pedro Antonio Gutiérrez, R. Ciria, J. Briceño, César Hervás-Martínez, "Dynamically weighted Evolutionary Ordinal Neural Network for solving an Imbalanced Liver Transplantation Problem." Artificial Intelligence in Medicine, Vol. 77, 2017, pp.1-11. http://doi.org/10.1016/j.artmed.2017.02.004
Published in Neural Networks, 2016
JCR(2016): 5.287 Position: 10/133 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: María Pérez-Ortiz, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, César Hervás-Martínez, "Semi-Supervised Learning For Ordinal Kernel Discriminant Analysis." Neural Networks, Vol. 84, 2016, pp.57--66. http://dx.doi.org/10.1016/j.neunet.2016.08.004
Published in IEEE Transactions on Neural Networks and Learning Systems, 2016
JCR(2016): 6.108 Position: 3/104 (Q1) Category: COMPUTER SCIENCE, THEORY & METHODS
Recommended citation: María Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tino, César Hervás-Martínez, "Oversampling the minority class in the feature space." IEEE Transactions on Neural Networks and Learning Systems, Vol. 27(9), 2016, pp.1947--1961. http://ieeexplore.ieee.org/document/7222438/
Published in Progress in Artificial Intelligence, 2016
Recommended citation: Pedro Antonio Gutiérrez, Salvador García, "Current prospects on ordinal and monotonic classification." Progress in Artificial Intelligence, Vol. 5(3), 2016, pp.171-179. http://dx.doi.org/10.1007/s13748-016-0088-y
Published in Energies, 2016
JCR(2016): 2.262 Position: 45/92 (Q2) Category: ENERGY & FUELS
Recommended citation: María Pérez-Ortiz, Silvia Jiménez-Fernández, Pedro Antonio Gutiérrez, Enrique Alexandre, César Hervás-Martínez, Sancho Salcedo-Sanz, "A review of classification problems and algorithms in renewable energy applications." Energies, Vol. 9(8), 2016, pp.607. http://doi.org/10.3390/en9080607
Published in Expert Systems with Applications, 2016
JCR(2016): 3.928 Position: 3/83 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Recommended citation: María Pérez-Ortiz, J. M. Peña, Pedro Antonio Gutiérrez, J. Torres-Sánchez, César Hervás-Martínez, F. López-Granados, "Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery." Expert Systems with Applications, Vol. 47, 2016, pp.85-94. http://dx.doi.org/10.1016/j.eswa.2015.10.043
Published in IEEE Transactions on Knowledge and Data Engineering, 2016
JCR(2016): 3.438 Position: 21/146 (Q1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS
Recommended citation: Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, Francisco Fernandez-Navarro, César Hervás-Martínez, "Ordinal regression methods: survey and experimental study." IEEE Transactions on Knowledge and Data Engineering, Vol. 28(1), 2016, pp.127-146. http://dx.doi.org/10.1109/TKDE.2015.2457911
Published in Neural Processing Letters, 2016
JCR(2016): 1.620 Position: 74/133 (Q3) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: María Pérez-Ortiz, M. Fernández-Delgado, E. Cernadas, R. Domínguez-Petit, Pedro Antonio Gutiérrez, César Hervás-Martínez, "On the use of nominal and ordinal classifiers for the discrimination of states of development in fish oocytes." Neural Processing Letters, Vol. 44(2), 2016, pp.555-570. http://dx.doi.org/10.1007/s11063-015-9476-8
Published in IEEE Transactions on Medical Imaging, 2016
JCR(2016): 3.942 Position: 9/105 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Recommended citation: Aurora Sáez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images." IEEE Transactions on Medical Imaging, Vol. 35(4), 2016, pp.1036-1045. http://dx.doi.org/10.1109/TMI.2015.2506270
Published in Neural Processing Letters, 2016
JCR(2016): 1.620 Position: 74/133 (Q3) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: María Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, "A study on multi-scale kernel optimisation via centered kernel-target alignment." Neural Processing Letters, Vol. 44(2), 2016, pp.491--517. http://dx.doi.org/10.1007/s11063-015-9471-0
Published in IEEE Transactions on Knowledge and Data Engineering, 2015
JCR(2015): 2.476 Position: 17/143 (Q1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS
Recommended citation: María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, X. Yao, "Graph-Based Approaches for Over-sampling in the context of Ordinal Regression." IEEE Transactions on Knowledge and Data Engineering, Vol. 27(5), 2015, pp.1233--1245. http://www.uco.es/grupos/ayrna/GBOforOR
Published in Neural Computation, 2015
JCR (2015): 1.626 Position: 57/130 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: FengZhen Tang, Peter Tino, Pedro Antonio Gutiérrez, Huanhuan Chen, "The Benefits of Modelling Slack Variables in SVMs." Neural Computation, Vol. 27(4), 2015, pp.954--981. http://dx.doi.org/10.1162/NECO_a_00714
Published in Climate Dynamics, 2015
JCR (2015): 4.708 Position: 8/84 (Q1) Category: METEOROLOGY & ATMOSPHERIC SCIENCES
Recommended citation: Athanasia Nikolaou, Pedro Antonio Gutiérrez, Antonio Manuel Durán-Rosal, Isabelle Dicaire, Francisco Fernandez-Navarro, César Hervás-Martínez, "Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm." Climate Dynamics, Vol. 44(7--8), 2015, pp.1919--1933. http://dx.doi.org/10.1007/s00382-014-2405-0
Published in Engineering Applications of Artificial Intelligence, 2015
JCR(2015): 2.368 Position: 32/130 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: Juan Carlos Fernández, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, E. Alexandre, César Hervás-Martínez, "Significant wave height and energy flux range forecast with machine learning classifiers." Engineering Applications of Artificial Intelligence, Vol. 43, 2015, pp.44-53. http://dx.doi.org/10.1016/j.engappai.2015.03.012
Published in Neurocomputing, 2015
JCR(2015): 2.392 Position: 31/130 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: María Pérez-Ortiz, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Javier Sánchez-Monedero, César Hervás-Martínez, "Kernelising the Proportional Odds Model through Kernel Learning techniques." Neurocomputing, Vol. 126, 2015, pp.23--33. http://www.uco.es/grupos/ayrna/index.php/es/neucom-kpom
Published in Expert Systems with Applications, 2015
JCR(2015): 2.981 Position: 6/82 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Recommended citation: Mónica Paz, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Classification of countries progress toward a knowledge economy based on machine learning classification techniqu." Expert Systems with Applications, Vol. 42(1), 2015, pp.562-572. http://dx.doi.org/10.1016/j.eswa.2014.08.008
Published in Applied Soft Computing, 2015
JCR(2015): 2.857 Position: 16/104 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Recommended citation: María Pérez-Ortiz, J.M. Peña, Pedro Antonio Gutiérrez, J. Torres-Sánchez, César Hervás-Martínez, F. López-Granados, "A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method." Applied Soft Computing, Vol. 37, 2015, pp.533-544. http://dx.doi.org/10.1016/j.asoc.2015.08.027
Published in Neural Networks, 2014
JCR(2014): 2.708 Position: 18/123 (Q1) Category: ENGINEERING, MULTIDISCIPLINARY
Recommended citation: Pedro Antonio Gutiérrez, Peter Tino, César Hervás-Martínez, "Ordinal regression neural networks based on concentric hyperspheres." Neural Networks, Vol. 59, 2014, pp.51-60. http://dx.doi.org/10.1016/j.neunet.2014.07.001
Published in Engineering Applications of Artificial Intelligence, 2014
JCR(2014): 2.207 Position: 12/83 (Q1) Category: ENGINEERING, MULTIDISCIPLINARY
Recommended citation: Javier Sánchez-Monedero, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Carlos Casanova Mateo, César Hervás-Martínez, "Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier." Engineering Applications of Artificial Intelligence, Vol. 34, 2014, pp.199-207. http://dx.doi.org/10.1016/j.engappai.2014.05.016
Published in Applied Soft Computing, 2014
JCR(2014): 2.810 Position: 17/123 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: Javier Sánchez-Monedero, Pilar Campoy-Muñoz, Pedro Antonio Gutiérrez, César Hervás-Martínez, "A guided data projection technique for classification of sovereign ratings: the case of European Union 27." Applied Soft Computing, Vol. 22, 2014, pp.339-350. http://dx.doi.org/10.1016/j.asoc.2014.05.008
Published in Knowledge-Based Systems, 2014
JCR(2014): 2.947 Position: 16/123 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: María Pérez-Ortiz, Mónica Paz, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Classification of EU countries' progress towards sustainable development based on ordinal regression techniques." Knowledge-Based Systems, Vol. 66, 2014, pp.178--189. http://dx.doi.org/10.1016/j.knosys.2014.04.041
Published in Expert Systems With Applications, 2014
JCR(2014): 2.240 Position: 12/81 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Recommended citation: Pilar Campoy-Muñoz, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Addressing remitting behavior using an ordinal classification approach." Expert Systems With Applications, Vol. 41(10), 2014, pp.4752--4761. http://dx.doi.org/10.1016/j.eswa.2014.01.036
Published in Neurocomputing, 2014
JCR(2014): 2.083 Position: 36/123 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: E. Corchado, A. Abraham, Pedro Antonio Gutiérrez, J.M. Benitez, S. Ventura, "Special issue: Advances in learning schemes for function approximation." Neurocomputing, Vol. 135, 2014, pp.1--2. http://dx.doi.org/10.1016/j.neucom.2013.12.003
Published in Neurocomputing, 2014
JCR(2014): 2.083 Position: 36/123 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: Manuel Cruz-Ramírez, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, "Metrics to guide a multi-objective evolutionary algorithm for ordinal classification." Neurocomputing, Vol. 135, 2014, pp.21--31. http://dx.doi.org/10.1016/j.neucom.2013.05.058
Published in IEEE Transactions on Cybernetics, 2014
JCR(2014): 3.469 Position: 2/24 (Q1) Category: COMPUTER SCIENCE, CYBERNETICS
Recommended citation: María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Projection based ensemble learning for ordinal regression." IEEE Transactions on Cybernetics, Vol. 44(5), 2014, pp.681--694. http://www.uco.es/grupos/ayrna/elor2013
Published in Remote Sensing, 2014
JCR(2014): 3.180 Position: 5/28 (Q1) Category: REMOTE SENSING
Recommended citation: J.M. Peña-Barragán, Pedro Antonio Gutiérrez, César Hervás-Martínez, Johan Six, Richard E. Plant, F. López-Granados, "Object-Based Image Classification of Summer Crops with Machine Learning Methods." Remote Sensing, Vol. 6(6), 2014, pp.5019--5041. http://dx.doi.org/10.3390/rs6065019
Published in IEEE Transactions on Neural Networks and Learning Systems, 2013
JCR (2013): 4.370 (category COMPUTER SCIENCE, THEORY & METHODS, position 2/102 Q1)
Recommended citation: Francisco Fernandez-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao, "Negative Correlation Ensemble Learning for Ordinal Regression." IEEE Transactions on Neural Networks and Learning Systems, Vol. 24(11), 2013, pp.1836--1849. http://dx.doi.org/10.1109/TNNLS.2013.2268279
Published in Neural Computation, 2013
JCR (2013): 1.694 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 43/121 Q2)
Recommended citation: Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, Peter Tino, César Hervás-Martínez, "Exploitation of Pairwise Class Distances for Ordinal Classification." Neural Computation, Vol. 25(9), 2013, pp.2450-2485. http://dx.doi.org/10.1162/NECO_a_00478
Published in Engineering Applications of Artificial Intelligence, 2013
JCR (2013): 1.962 (category ENGINEERING, MULTIDISCIPLINARY, position 15/87, Q1)
Recommended citation: Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, Leo Carro-Calvo, Javier Sánchez-Monedero, Luis Prieto, "Ordinal and nominal classification of wind speed from synoptic pressure patterns." Engineering Applications of Artificial Intelligence, Vol. 26(3), 2013, pp.1008--1015. http://dx.doi.org/10.1016/j.engappai.2012.10.018
Published in Soft Computing, 2013
JCR (2013): 1.304 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 59/121 Q2)
Recommended citation: Manuel Cruz-Ramírez, César Hervás-Martínez, Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Briceño, Manuel Mata, "Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem." Soft Computing, Vol. 17(2), 2013, pp.275-284. http://dx.doi.org/10.1007/s00500-012-0892-7
Published in Expert Systems with Applications, 2013
JCR (2013): 1.965 (category OPERATIONS RESEARCH & MANAGEMENT SCIENCE, position 11/79 Q1)
Recommended citation: M. D. Redel-Macías, Francisco Fernandez-Navarro, Pedro Antonio Gutiérrez, A. J. Cubero-Atienza, César Hervás-Martínez, "Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks." Expert Systems with Applications, Vol. 40(5), 2013, pp.1477--1483. http://dx.doi.org/10.1016/j.eswa.2012.08.041
Published in Soft Computing, 2013
JCR (2013): 1.304 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 59/121 Q2)
Recommended citation: Francisco Fernandez-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Generalised Gaussian Radial Basis Function Neural Networks." Soft Computing, Vol. 17(3), 2013, pp.519-533. http://dx.doi.org/10.1007/s00500-012-0923-4
Published in Neurocomputing, 2013
JCR (2013): 2.005 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 28/121 Q1)
Recommended citation: M. D. Redel-Macías, Francisco Fernandez-Navarro, Pedro Antonio Gutiérrez, Antonio Cubero-Atienza, César Hervás-Martínez, "Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles." Neurocomputing, Vol. 109(3), 2013, pp.56--65. http://dx.doi.org/10.1016/j.neucom.2012.03.022
Published in Expert Systems with Applications, 2012
JCR (2012): 1.854 (category OPERATIONS RESEARCH & MANAGEMENT SCIENCE, position 13/79 Q1)
Recommended citation: Adiel Castaño-Méndez, Francisco Fernandez-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Permanent Disability Classification by Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods." Expert Systems with Applications, Vol. 39(9), 2012, pp.8350--8355. http://dx.doi.org/10.1016/j.eswa.2012.01.186
Published in Neurocomputing, 2012
JCR (2012): 1.634 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 37/115 Q2)
Recommended citation: Francisco Fernandez-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, José Manuel Peña-Barragán, Francisca López-Granados, "Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for Binary Classi fication." Neurocomputing, Vol. 75, 2012, pp.123-134. http://dx.doi.org/10.1016/j.neucom.2011.03.056
Published in Fuel, 2012
JCR (2012): 3.357 (category ENGINEERING, CHEMICAL, position 11/133 Q1)
Recommended citation: M. D. Redel-Macías, César Hervás-Martínez, S. Pinzi, Pedro Antonio Gutiérrez, A. J. Cubero-Atienza, M. P. Dorado, "Noise prediction of a diesel engine fueled with olive pomace oil methyl ester blended with diesel fuel." Fuel, Vol. 98, 2012, pp.280-287. http://dx.doi.org/10.1016/j.fuel.2012.03.050
Published in Neural Computing & Applications, 2012
JCR (2012): 1.168 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 60/115 Q3)
Recommended citation: César Hervás-Martínez, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, E.G. Ortíz García, L. Prieto, "Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms." Neural Computing & Applications, Vol. 21(5), 2012, pp.993-1005. http://dx.doi.org/10.1007/s00521-011-0582-x
Published in Information Sciences, 2012
JCR (2012): 3.893 (category COMPUTER SCIENCE, INFORMATION SYSTEMS, position 6/132, Q1)
Recommended citation: Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco José Martínez-Estudillo, Mariano Carbonero-Ruz, "A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems." Information Sciences, Vol. 197, 2012, pp.20-37. http://dx.doi.org/10.1016/j.ins.2012.02.012
Published in International Journal of Pattern Recognition and Artificial Intelligence, 2012
JCR (2012): 0.562 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 94/115 Q4)
Recommended citation: Manuel Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez, "A structural distance based crossover for neural network classifiers." International Journal of Pattern Recognition and Artificial Intelligence, Vol. 26(6), 2012, pp.1250012. http://dx.doi.org/10.1142/S0218001412500127
Published in Neural Processing Letters, 2011
JCR (2011): 0.750 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 76/111 Q3)
Recommended citation: Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, Francisco Fernandez-Navarro, César Hervás-Martínez, "Weighting efficient Accuracy and Minimum Sensitivity for evolving multi-class classifiers." Neural Processing Letters, Vol. 34(2), 2011, pp.1370-4621. http://dx.doi.org/10.1007/s11063-011-9186-9
Published in Neural Processing Letters, 2011
JCR (2011): 0.750 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 76/111 Q3)
Recommended citation: Adiel Castaño-Méndez, Francisco Fernandez-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, "Neuro-logistic models based on Evolutionary Generalized Radial Basis Function for the microarray gene expression classification problem." Neural Processing Letters, Vol. 34, 2011, pp.117-131. http://dx.doi.org/10.1007/s11063-011-9187-8
Published in Applied Soft Computing, 2011
JCR (2011): 2.612 Position: 13/111 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: Juan Carlos Fernández, César Hervás-Martínez, Francisco José Martínez-Estudillo, Pedro Antonio Gutiérrez, "Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology." Applied Soft Computing, Vol. 11(1), 2011, pp.534-550. http://dx.doi.org/10.1016/j.asoc.2009.12.013
Published in Neurocomputing, 2011
JCR (2011): 1.580 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 39/111 Q2)
Recommended citation: Francisco Fernandez-Navarro, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, "MELM-GRBF: A modified version of the Extreme Learning Machine for Generalized Radial Basis Function Neural Networks." Neurocomputing, Vol. 74, 2011, pp.2502-2510. http://dx.doi.org/10.1016/j.neucom.2010.11.032
Published in IEEE Transacctions on Neural Networks, 2011
JCR (2011): 2.952 (category COMPUTER SCIENCE, THEORY & METHODS, position 4/99 Q1)
Recommended citation: Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco José Martínez-Estudillo, "Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks." IEEE Transacctions on Neural Networks, Vol. 22(2), 2011, pp.246-263. http://dx.doi.org/10.1109/TNN.2010.2093537
Published in Neural Networks, 2011
JCR (2011): 2.182 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 23/111, Q1)
Recommended citation: Francisco Fernandez-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, "Evolutionary q-Gaussian Radial Basis Functions Neural Networks for Multi-Classification." Neural Networks, Vol. 24, 2011, pp.779-784. http://dx.doi.org/10.1016/j.neunet.2011.03.014
Published in Applied Soft Computing, 2011
JCR (2011): 2.612 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 13/111 Q1)
Recommended citation: Francisco Fernandez-Navarro, César Hervás-Martínez, Manuel Cruz-Ramírez, Pedro Antonio Gutiérrez, A. Valero, "Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus." Applied Soft Computing, Vol. 11(3), 2011, pp.3012-3020. http://dx.doi.org/10.1016/j.asoc.2010.11.027
Published in Pattern Recognition, 2011
JCR (2011): 2.292 (category ENGINEERING, ELECTRICAL & ELECTRONIC, position 35/245 Q1)
Recommended citation: Francisco Fernandez-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, "A dynamic over-sampling procedure based on sensitivity for multi-class problems." Pattern Recognition, Vol. 44, 2011, pp.1821-1833. http://dx.doi.org/10.1016/j.patcog.2011.02.019
Published in IEEE Transacctions on Neural Networks, 2010
JCR (2010): 2.633 Position: 17/108 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: Juan Carlos Fernández, Francisco José Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez, "Sensitivity Versus Accuracy in Multiclass Problems Using Memetic Pareto Evolutionary Neural Networks." IEEE Transacctions on Neural Networks, Vol. 21(5), 2010, pp.750-770. http://dx.doi.org/10.1109/TNN.2010.2041468
Published in OMEGA - The International Journal of Management Science, 2010
JCR (2010): 3.467 (category OPERATIONS RESEARCH & MANAGEMENT SCIENCE, position 2/75 Q1)
Recommended citation: Pedro Antonio Gutiérrez, M.J. Segovia-Vargas, Sancho Salcedo-Sanz, César Hervás-Martínez, A. Sanchís, J.A. Portilla Figueras, Francisco Fernandez-Navarro, "Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises." OMEGA - The International Journal of Management Science, Vol. 38(5), 2010, pp.333--344. http://dx.doi.org/10.1016/j.omega.2009.11.001
Published in Neural Network World, 2010
JCR (2010): 0.511 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 94/108 Q4)
Recommended citation: Javier Sánchez-Monedero, César Hervás-Martínez, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, M.C. Ramirez Moreno, Manuel Cruz-Ramírez, "Evaluating the Performance of Evolutionary Extreme Learning Machines by a Combination of Sensitivity and Accuracy Measures." Neural Network World, Vol. 20, 2010, pp.899-912.
Published in International Journal of Food Microbiology, 2010
JCR (2010): 3.143 (category FOOD SCIENCE & TECHNOLOGY, position 2/128 Q1)
Recommended citation: Francisco Fernandez-Navarro, A. Valero, César Hervás-Martínez, Pedro Antonio Gutiérrez, R.M García Gimeno, G. Zurera Cosano, "Development of a multi-classification neural network model to determine the microbial growth/no growth interface." International Journal of Food Microbiology, Vol. 141(3), 2010, pp.203--212. http://dx.doi.org/10.1016/j.ijfoodmicro.2010.05.013
Published in Soft Computing, 2010
JCR (2010): 1.512 (category COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS, position 41/97 Q2)
Recommended citation: Pedro Antonio Gutiérrez, César Hervás-Martínez, M. Lozano, "Designing Multilayer Perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm." Soft Computing, Vol. 14(6), 2010, pp.599--613. http://dx.doi.org/10.1007/s00500-009-0429-x
Published in International Journal of Hybrid Intelligent Systems, 2010
Recommended citation: Adiel Castaño-Méndez, César Hervás-Martínez, Pedro Antonio Gutiérrez, Francisco Fernandez-Navarro, M. M. García, "Classification by Evolutionary Generalized Radial Basis Functions." International Journal of Hybrid Intelligent Systems, Vol. 7(1), 2010, pp.1-10. http://dx.doi.org/10.3233/HIS-2010-0117
Published in Expert Systems with Applications, 2010
JCR (2010): 1.926 (category OPERATIONS RESEARCH & MANAGEMENT SCIENCE, position 15/75, Q1)
Recommended citation: César Hervás-Martínez, Pedro Antonio Gutiérrez, J.M Peña-Barragán, M. Jurado-Expósito, F. López-Granados, "A logistic radial basis function regression method for discrimination of cover crops in olive orchards." Expert Systems with Applications, Vol. 37(12), 2010, pp.8432--8444. http://dx.doi.org/10.1016/j.eswa.2010.05.035
Published in Neural Network World, 2009
JCR (2009): 0.475 Position: 93/103 (Q4) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández, M. Jurado-Expósito, J.M Peña-Barragán, F. López-Granados, "Structural simplification of hybrid neuro-logistic regression models in multispectral analysis of remote sensed data." Neural Network World, Vol. 19(1), 2009, pp.3-20. http://www.nnw.cz/obsahy09.html
Published in Neurocomputing, 2009
JCR (2009): 1.440 Position: 47/103 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Recommended citation: Pedro Antonio Gutiérrez, César Hervás-Martínez, Mariano Carbonero-Ruz, Juan Carlos Fernández, "Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks." Neurocomputing, Vol. 72(13-15), 2009, pp.2731-2742. http://doi.org/10.1016/j.neucom.2008.09.020
Published in Chemometrics and Intelligent Laboratory Systems, 2008
JCR (2008): 1.940 (category STATISTICS & PROBABILITY, position 11/92 Q1)
Recommended citation: César Hervás-Martínez, M. Silva, Pedro Antonio Gutiérrez, A. Serrano, "Multilogistic regression by evolutionary neural network as a classification tool to discriminate highly overlapping signals: Qualitative investigation of volatile organic compounds in polluted waters." Chemometrics and Intelligent Laboratory Systems, Vol. 92(2), 2008, pp.179--185. http://dx.doi.org/10.1016/j.chemolab.2008.03.005
Published in Computers and Electronics in Agriculture, 2008
JCR (2008): 1.273 (category AGRICULTURE, MULTIDISCIPLINARY, position 8/35 Q1)
Recommended citation: Pedro Antonio Gutiérrez, F. López-Granados, J.M Peña-Barragán, M. Jurado-Expósito, M.T. Gómez-Casero, César Hervás-Martínez, "Mapping sunflower yield as affected by Ridolfia segetum patches and elevation by applying Evolutionary Product Unit Neural Networks to remote sensed data." Computers and Electronics in Agriculture, Vol. 60(2), 2008, pp.122--132. http://dx.doi.org/10.1016/j.compag.2007.07.011
Published in Computers and Electronics in Agriculture, 2008
JCR (2008): 1.273 (category AGRICULTURE, MULTIDISCIPLINARY, position 8/35 Q1)
Recommended citation: Pedro Antonio Gutiérrez, F. López-Granados, J.M Peña, M. Jurado-Expósito, César Hervás-Martínez, "Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data." Computers and Electronics in Agriculture, Vol. 64(2), 2008, pp.293--306. http://dx.doi.org/10.1016/j.compag.2008.06.001
Published in Neurocomputing, 2008
JCR (2008): 1.234 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 53/94, Q2)
Recommended citation: Francisco José Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez, Alfonso Carlos Martínez-Estudillo, "Evolutionary Product-Unit Neural Networks Classifiers." Neurocomputing, Vol. 72(1-3), 2008, pp.548--561. http://dx.doi.org/10.1016/j.neucom.2007.11.019
Published in Journal of Chemometrics, 2007
JCR (2007): 1.367 (category AUTOMATION & CONTROL SYSTEMS, position 9/52, Q1)
Recommended citation: César Hervás-Martínez, Pedro Antonio Gutiérrez, M. Silva, J.M Serrano, "Combining classification and regression approaches for the quantification of highly overlapping capillary electrophoresis peaks by using evolutionary sigmoidal and product unit neural networks." Journal of Chemometrics, Vol. 21(12), 2007, pp.567--577. http://dx.doi.org/10.1002/cem.1082