Pedro Antonio Gutiérrez

Pedro Antonio Gutiérrez

Assistant Professor at University of Córdoba. Main research areas: machine learning, ordinal classification, evolutionary neural networks.

Journal Articles


2025

Dlordinal: APython package for deep ordinal classification

Published in Neurocomputing, 2025

JCR(2023): 5.5, Position: 42/197 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Recommended citation: Francisco Bérchez-Moreno, Rafael Ayllón-Gavilán, Víctor Manuel Vargas, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez, "Dlordinal: APython package for deep ordinal classification." Neurocomputing, Vol. 622, 2025, pp.129305. http://doi.org/10.1016/j.neucom.2024.129305

Convolutional and Deep Learning based techniques for Time Series Ordinal Classification

Published in IEEE Transactions on Cybernetics, 2025

JCR(2023): 9.4, Position: 16/197 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Recommended citation: Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony Bagnall, César Hervás-Martínez, "Convolutional and Deep Learning based techniques for Time Series Ordinal Classification." IEEE Transactions on Cybernetics, Vol. 55, 2025. http://ieeexplore.ieee.org/document/10769513

Machine learning algorithms in controlled donation after circulatory death under normothermic regional perfusion: A graft survival prediction model

Published in Transplantation, 2025

JCR (2023): 5.5, Position: 14/192 (Q1), Category: SURGERY

Recommended citation: Rafael Calleja-Lozano, Marcos Rivera-Gavilán, David Guijo-Rubio, Amelia J. Hessheimer, Gloria De Rosa, Mikel Gastaca, Alejandra Otero, Pablo Ramirez, Andrea Boscà-Robledo, Julio Santoyo-Santoyo, Luis Miguel Marín-Gómez, Jesús Del, Yiliam Fundora, Laura Lladó, Carmelo Loinaz, Manuel C. Jiménez-Garrido, Gonzalo Rodríguez-Laíz, José A. López-Baena, Ramón Charco, Evaristo Varo, Fernando Rotellar, Ayaya Alonso, Juan C. Rodríguez-Sanjuan, Gerardo Blanco, Javier Nuño, David Pacheco, Elisabeth Coll, Beatriz Domínguez-Gil, Constantino Fontdevila, María Dolores Ayllón, Manuel Durán, Rubén Ciria, Pedro Antonio Gutiérrez, Antonio Manuel Gómez-Orellana, César Hervás-Martínez, Javier Briceño, "Machine learning algorithms in controlled donation after circulatory death under normothermic regional perfusion: A graft survival prediction model." Transplantation, Vol. Accepted, 2025.

Gender-Equity Model for Liver Allocation using Artificial Intelligence (GEMA-AI) for waiting list liver transplant prioritization

Published in Clinical Gastroenterology and Hepatology, 2025

JCR (20224): 11.6, Position: 9/143 (Q1), Category: GASTROENTEROLOGY & HEPATOLOGY

Recommended citation: Antonio Manuel Gómez-Orellana, Manuel Rodríguez-Perálvarez, David Guijo-Rubio, Pedro Antonio Gutiérrez, Avik Majumdar, Geoffrey W. McCaughan, Rhiannon Taylor, Emmanuel Tsochatzis, César Hervás-Martínez, "Gender-Equity Model for Liver Allocation using Artificial Intelligence (GEMA-AI) for waiting list liver transplant prioritization." Clinical Gastroenterology and Hepatology, Vol. Conditionally Accepted, 2025. http://doi.org/10.1016/j.cgh.2024.12.010


2024

Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events

Published in Applied Ocean Research, 2024

JCR (2023): 4.3, Position: 5/65 (Q1), Category: OCEANOGRAPHY

Recommended citation: César Peláez-Rodríguez, Jorge Pérez-Aracil, Antonio Manuel Gómez-Orellana, David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, "Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events." Applied Ocean Research, Vol. 153, 2024, pp.104273. http://doi.org/10.1016/j.apor.2024.104273

Long-term temperature prediction with hybrid autoencoder algorithms

Published in Applied Computing and Geosciences, 2024

JCR (2023): 2.6, Position: 98/253 (Q2), Category: GEOSCIENCES, MULTIDISCIPLINARY

Recommended citation: Jorge Pérez-Aracil, D. Fister, C.M. Marina, C. Peláez-Rodríguez, L. Cornejo-Bueno, Pedro Antonio Gutiérrez, M. Giuliani, A. Castelleti, Sancho Salcedo-Sanz, "Long-term temperature prediction with hybrid autoencoder algorithms." Applied Computing and Geosciences, Vol. 23, 2024, pp.100185. http://doi.org/10.1016/j.acags.2024.100185

ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target

Published in Engineering Applications of Artificial Intelligence, 2024

JCR (2023): 7.5, Position: 12/180 (Q1D1), Category: ENGINEERING, MULTIDISCIPLINARY.

Recommended citation: Antonio Manuel Gómez-Orellana, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, Víctor Manuel Vargas, "ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target." Engineering Applications of Artificial Intelligence, Vol. 133(E), 2024, pp.108462. http://www.sciencedirect.com/science/article/pii/S0952197624006201?via%3Dihub

A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic

Published in Knowledge-Based Systems, 2024

JCR(2023): 7.2 Position: 27/197 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Recommended citation: César Peláez-Rodríguez, Jorge Pérez-Aracil, Cosmin M. Marina, Luis Prieto-Godino, Carlos Casanova-Mateo, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, "A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic." Knowledge-Based Systems, Vol. 291, 2024, pp.111556. http://doi.org/10.1016/j.knosys.2024.111556

A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks

Published in Scientific Reports, 2024

JCR (2023): 3.8, Position: 25/134 (Q1), Category: MULTIDISCIPLINARY SCIENCES

Recommended citation: Francisco Bérchez-Moreno, Antonio Manuel Durán-Rosal, César Hervás-Martínez, Pedro Antonio Gutiérrez, Juan Carlos Fernández, "A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks." Scientific Reports, Vol. 14, 2024, pp.6961. http://www.nature.com/articles/s41598-024-57654-2

Learning Ordinal-Hierarchical Constraints for Deep Learning Classifie

Published in IEEE Transactions on Neural Networks and Learning Systems, 2024

JCR(2023): 10.2, Position: 7/143 (Q1) Category: COMPUTER SCIENCE, THEORY & METHODS

Recommended citation: Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Emanuele Frontoni, César Hervás-Martínez, "Learning Ordinal-Hierarchical Constraints for Deep Learning Classifie." IEEE Transactions on Neural Networks and Learning Systems, 2024, pp.1--14. http://ieeexplore.ieee.org/document/10432994

Fusion of standard and ordinal dropout techniques to regularise deep models

Published in Information Fusion, 2024

JCR 2023: 14.7, Position: 2/143 (Q1), Category: COMPUTER SCIENCE, THEORY & METHODS

Recommended citation: Francisco Bérchez-Moreno, Juan Carlos Fernández, César Hervás-Martínez, Pedro Antonio Gutiérrez, "Fusion of standard and ordinal dropout techniques to regularise deep models." Information Fusion, Vol. 106, 2024. http://www.sciencedirect.com/science/article/pii/S1566253524000770

EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height

Published in Knowledge-Based Systems, 2024

JCR (2023): 7.2, Position: 27/197 (Q1), Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Recommended citation: Víctor Manuel Vargas, Antonio Manuel Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio, "EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height." Knowledge-Based Systems, Vol. 300, 2024, pp.112223. http://www.sciencedirect.com/science/article/pii/S0950705124008578?via%3Dihub

Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds

Published in Sensors, 2024

JCR(2023): 3.4, Position: 24/76 (Q2) Category: INSTRUMENTS & INSTRUMENTATION

Recommended citation: Alejandro Morales-Martín, Francisco-Javier Mesas-Carrascosa, Pedro Antonio Gutiérrez, Fernando-Juan Pérez-Porras, Víctor Manuel Vargas, César Hervás-Martínez, "Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds." Sensors, Vol. 24(7), 2024, pp.1-18. http://www.mdpi.com/1424-8220/24/7/2168

Autoencoder-based flow-analogue probabilistic reconstruction of heat waves from pressure fields

Published in Annals of the New York Academy of Sciences, 2024

JCR(2023): 4.1, Position: 24/134 (Q1) Category: MULTIDISCIPLINARY SCIENCES

Recommended citation: Jorge Pérez-Aracil, Cosmin M Marina, Eduardo Zorita, David Barriopedro, Pablo Zaninelli, Matteo Giuliani, Andrea Castelletti, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, "Autoencoder-based flow-analogue probabilistic reconstruction of heat waves from pressure fields." Annals of the New York Academy of Sciences, 2024. http://dx.doi.org/10.1111/nyas.15243


2023

Generalised Triangular Distributions for ordinal deep learning: novel proposal and optimisation

Published in Information Sciences, 2023

JCR(2022): 8.1, Position: 13/158 (Q1D1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS

Recommended citation: Víctor Manuel Vargas, Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Generalised Triangular Distributions for ordinal deep learning: novel proposal and optimisation." Information Sciences, Vol. 648, 2023, pp.119606. http://www.sciencedirect.com/science/article/pii/S002002552301191X

Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment

Published in Applied Soft Computing, 2023

JCR(2023): 7.2, Position: 15/169 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Recommended citation: Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez, "Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment." Applied Soft Computing, Vol. 138(110191), 2023. http://www.sciencedirect.com/science/article/pii/S1568494623002090

Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2

Published in Expert Systems with Applications, 2023

JCR(2023): 7.5, Position: 25/352 (Q1) Category: ENGINEERING, ELECTRICAL & ELECTRONIC

Recommended citation: Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2." Expert Systems with Applications, 2023, pp.120103. http://doi.org/10.1016/j.eswa.2023.120103

Activation functions for convolutional neural networks: proposals and experimental study

Published in IEEE Transactions on Neural Networks and Learning Systems, 2023

JCR(2023): 10.2 Position: 7/143 (Q1D1) Category: COMPUTER SCIENCE, THEORY & METHODS

Recommended citation: Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez, "Activation functions for convolutional neural networks: proposals and experimental study." IEEE Transactions on Neural Networks and Learning Systems, Vol. 34(3), 2023, pp.1478--1488. http://doi.org/10.1109/TNNLS.2021.3105444

One month in advance prediction of air temperature from Reanalysis data with Explainable Artificial Intelligence techniques

Published in Atmospheric Research, 2023

JCR(2023): 4.5, position: 22/110 (Q1), category: METEOROLOGY & ATMOSPHERIC SCIENCES.

Recommended citation: Antonio Manuel Gómez-Orellana, David Guijo-Rubio, Jorge Pérez-Aracil, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, "One month in advance prediction of air temperature from Reanalysis data with Explainable Artificial Intelligence techniques." Atmospheric Research, Vol. 284(106608), 2023. http://doi.org/10.1016/j.atmosres.2023.106608

Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment

Published in Computers in Industry, 2023

JCR(2023): 8.2, Position: 11/169 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Recommended citation: Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez, "Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment." Computers in Industry, Vol. 144, 2023, pp.1-13. http://doi.org/10.1016/j.compind.2022.103786

A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data

Published in Engineering Applications of Artificial Intelligence, 2023

JCR(2023): 7.5, Position: 5/179 (Q1D1) Category: ENGINEERING, MULTIDISCIPLINARY.

Recommended citation: Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez, "A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data." Engineering Applications of Artificial Intelligence, Vol. 123(C), 2023, pp.1-12. http://doi.org/10.1016/j.engappai.2023.106463


2022

A mixed distribution to fix the threshold for Peak-Over-Threshold wave height estimation

Published in Scientific Reports, 2022

JCR(2022): 4.6 Position: 22/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES

Recommended citation: Antonio Manuel Durán-Rosal, Mariano Carbonero-Ruz, Pedro Antonio Gutiérrez, César Hervás-Martínez, "A mixed distribution to fix the threshold for Peak-Over-Threshold wave height estimation." Scientific Reports, Vol. 12, 2022, pp.17327. http://www.nature.com/articles/s41598-022-22243-8

Machine learning regression and classification methods for fog events prediction

Published in Atmospheric Research, 2022

JCR(2022): 5.5 Position: 18/94 (Q1) Category: METEOROLOGY & ATMOSPHERIC SCIENCES.

Recommended citation: C. Castillo-Botón, David Casillas-Pérez, Carlos Casanova-Mateo, S. Ghimire, E. Cerro-Prada, Pedro Antonio Gutiérrez, R.C. Deo, Sancho Salcedo-Sanz, "Machine learning regression and classification methods for fog events prediction." Atmospheric Research, Vol. 272, 2022, pp.106157. http://doi.org/10.1016/j.atmosres.2022.106157

COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain

Published in Expert Systems with Applications, 2022

JCR(2022): 8.5, Position: 23/275 (Q1) Category: ENGINEERING, ELECTRICAL & ELECTRONIC

Recommended citation: Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, Antonio Manuel Gómez-Orellana, Isaac Túñez, Luis Ortigosa-Moreno, Armando Romanos-Rodríguez, Javier Padillo-Ruiz, César Hervás-Martínez, "COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain." Expert Systems with Applications, Vol. 207, 2022, pp.117977. http://doi.org/10.1016/j.eswa.2022.117977

A novel deep ordinal classification approach for aesthetic quality control classification

Published in Neural Computing and Applications, 2022

JCR (2022): 6.0 Position: 41/145 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Recommended citation: Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Emanuele Frontoni, "A novel deep ordinal classification approach for aesthetic quality control classification." Neural Computing and Applications, Vol. 34, 2022, pp.11625--11639. http://dx.doi.org/10.1007/s00521-022-07050-6

Simultaneous short-term significant wave height and energy flux prediction using zonal multi-task evolutionary artificial neural networks

Published in Renewable Energy, 2022

JCR(2022): 8.7 Position: 26/115 (Q1) Category: ENERGY & FUELS

Recommended citation: Antonio Manuel Gómez-Orellana, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Simultaneous short-term significant wave height and energy flux prediction using zonal multi-task evolutionary artificial neural networks." Renewable Energy, Vol. 184, 2022, pp.975989. http://doi.org/10.1016/j.renene.2021.11.122


2021

Time series clustering based on the characterisation of segment typologies

Published in IEEE Transactions on Cybernetics, 2021

JCR(2021): 19.118 Position: 3/144 (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, Vol. 51(11), 2021, pp.5409--5422. http://doi.org/10.1109/TCYB.2019.2962584

An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients

Published in Expert Systems with Applications, 2021

JCR(2021): 8.665 Position: 21/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Recommended citation: Javier Barbero-Gómez, Pedro Antonio Gutiérrez, Víctor Manuel Vargas, Juan-Antonio Vallejo-Casas, César Hervás-Martínez, "An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients." Expert Systems with Applications, Vol. 182, 2021, pp.115271. http://www.sciencedirect.com/science/article/pii/S0957417421007028

Potenciando el perfil profesional Científico de Datos mediante dinámicas de competición

Published in Revista de Innovación y Buenas Prácticas Docentes, 2021

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Recommended citation: David Guijo-Rubio, Víctor Manuel Vargas, Antonio Manuel Durán-Rosal, Antonio Manuel Gómez-Orellana, Javier Barbero-Gómez, Juan Carlos Fernández, Pedro Antonio Gutiérrez, "Potenciando el perfil profesional Científico de Datos mediante dinámicas de competición." Revista de Innovación y Buenas Prácticas Docentes, Vol. 10(2), 2021, pp.101-106. http://doi.org/10.21071/ripadoc.v10i2.13256

New models for donor-recipient matching in lung transplantations

Published in PLoS One, 2021

JCR(2021): 3.752 Position: 29/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES

Recommended citation: José María Dueñas-Jurado, Pedro Antonio Gutiérrez, A. Casado-Adam, F. Santos-Luna, Angel Salvatierra-Velázquez, S. Cárcel, C.J.C. Robles-Arista, César Hervás-Martínez, "New models for donor-recipient matching in lung transplantations." PLoS One, Vol. 16(6), 2021, pp.e0252148. http://doi.org/10.1371/journal.pone.0252148

Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation

Published in PLoS One, 2021

JCR(2021): 3.752 Position: 29/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES

Recommended citation: David Guijo-Rubio, Javier Briceño, Pedro Antonio Gutiérrez, Maria Dolores Ayllón, Rubén Ciria, César Hervás-Martínez, "Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation." PLoS One, Vol. 16(5), 2021, pp.e0252068. http://doi.org/10.1371/journal.pone.0252068

Ordinal classification of the affectation level of 3D-images in Parkinson diseases

Published in Scientific Reports, 2021

JCR(2021): 4.996 Position: 19/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES

Recommended citation: Antonio Manuel Durán-Rosal, Julio Camacho-Cañamón, Pedro Antonio Gutiérrez, Maria Victoria Guiote-Moreno, Ester Rodríguez-Cáceres, Juan Antonio Vallejo-Casas, César Hervás-Martínez, "Ordinal classification of the affectation level of 3D-images in Parkinson diseases." Scientific Reports, Vol. 11, 2021, pp.7067. http://www.nature.com/articles/s41598-021-86538-y

A novel approach for global solar irradiation forecasting on tilted plane using hybrid evolutionary neural networks

Published in Journal of Cleaner Production, 2021

JCR(2021): 11.072 Position: 24/279 (Q1) Category: ENVIRONMENTAL SCIENCES

Recommended citation: Billel Amiri, Antonio Manuel Gómez-Orellana, Pedro Antonio Gutiérrez, Rabah Dizene, César Hervás-Martínez, Kahina Dahmani, "A novel approach for global solar irradiation forecasting on tilted plane using hybrid evolutionary neural networks." Journal of Cleaner Production, Vol. 287, 2021, pp.125577. http://doi.org/10.1016/j.jclepro.2020.125577

Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: ACase Study for Predicting Significant Wave Height and Energy Flux

Published in Energies, 2021

JCR(2021): 3.252 Position: 80/119 (Q3) Category: ENERGY & FUELS

Recommended citation: Antonio Manuel Gómez-Orellana, Juan Carlos Fernández, Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: ACase Study for Predicting Significant Wave Height and Energy Flux." Energies, Vol. 14(2), 2021, pp.468. http://doi.org/10.3390/en14020468


2020

Ordinal multi-class architecture for predicting wind power ramp events based on reservoir computing

Published in Neural Processing Letters, 2020

JCR(2020): 2.908 Position: 63/139 (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. 52(3), 2020, pp.57--74. http://doi.org/10.1007/s11063-018-9922-5

Evolutionary artificial neural networks for accurate solar radiation prediction

Published in Energy, 2020

JCR(2020): 7.147 Position: 3/62 (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. 210, 2020, pp.118374. http://doi.org/10.1016/j.energy.2020.118374

Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport

Published in Atmospheric Research, 2020

JCR(2020): 5.369 Position: 16/94 (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

Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm

Published in Applied Soft Computing, 2020

JCR(2020): 6.725 Position: 11/112 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Recommended citation: Alejandro Martín, Víctor Manuel Vargas, 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

Analysis and Prediction of Dammed Water Level in a Hydropower Reservoir Using Machine Learning and Persistence-Based Techniques

Published in Water, 2020

JCR(2020): 3.103 Position: 39/98 (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

Multi-task learning for the prediction of wind power ramp events with deep neural networks

Published in Neural Networks, 2020

JCR(2020): 8.050 Position: 25/273 (Q1) Category: NEUROSCIENCES

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

Prediction of convective clouds formation using evolutionary neural computation techniques

Published in Neural Computing and Applications, 2020

JCR(2020): 5.606 Position: 31/140 (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. 32, 2020, pp.13917-13929. http://doi.org/10.1007/s00521-020-04795-w

Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals

Published in PLoS One, 2020

JCR(2020): 3.240 Position: 26/73 (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

Short- and long-term energy flux prediction using Multi-Task Evolutionary Artificial Neural Networks

Published in Ocean Engineering, 2020

JCR(2020): 3.795 Position: 1/16 (Q1) Category: MARINE ENGINEERING

Recommended citation: David Guijo-Rubio, Antonio Manuel Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Short- and long-term energy flux prediction using Multi-Task Evolutionary Artificial Neural Networks." Ocean Engineering, Vol. 216, 2020. http://doi.org/10.1016/j.oceaneng.2020.108089


2019

A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation

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

Dynamical Memetization in Coral Reef Optimization Algorithms for Optimal Time Series Approximation

Published in Progress in Artificial Intelligence, 2019

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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

Monotonic classification: An overview on algorithms, performance measures and data sets

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

On the use of evolutionary time series analysis for segmenting paleoclimate data

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

ORCA: AMatlab/Octave Toolbox for Ordinal Regression

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: AMatlab/Octave Toolbox for Ordinal Regression." Journal of Machine Learning Research, Vol. 20(125), 2019, pp.1--5. http://www.jmlr.org/papers/v20/

Multi-objective evolutionary optimization using the relationship between F1 and accuracy metrics in classification tasks

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


2018

Prediction of low-visibility events due to fog using ordinal classification

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

Simultaneous optimisation of clustering quality and approximation error for time series segmentation

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

Time series forecasting by recurrent product unit neural networks

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

Computational models to predict noise emissions of a diesel engine fueled with saturated and monounsaturated fatty acid methyl esters

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

A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series

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


2017

Identifying market behaviours using European Stock Index time series by a hybrid segmentation algorithm

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

Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation

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

Robust estimation of wind power ramp events with reservoir computing

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

Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation

Published in Progress in Artificial Intelligence, 2017

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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

Dynamically weighted Evolutionary Ordinal Neural Network for solving an Imbalanced Liver Transplantation Problem

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


2016

Oversampling the minority class in the feature space

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/

Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery

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

Ordinal regression methods: survey and experimental study

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

On the use of nominal and ordinal classifiers for the discrimination of states of development in fish oocytes

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

Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images

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

A study on multi-scale kernel optimisation via centered kernel-target alignment

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


2015

Graph-Based Approaches for Over-sampling in the context of Ordinal Regression

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

Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm

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

Significant wave height and energy flux range forecast with machine learning classifiers

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

Kernelising the Proportional Odds Model through Kernel Learning techniques

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

Classification of countries' progress toward a knowledge economy based on machine learning classification techniques

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 techniques." Expert Systems with Applications, Vol. 42(1), 2015, pp.562--572. http://dx.doi.org/10.1016/j.eswa.2014.08.008

A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method

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


2014

Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier

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

A guided data projection technique for classification of sovereign ratings: the case of European Union 27

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

Classification of EU countries' progress towards sustainable development based on ordinal regression techniques

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

Metrics to guide a multi-objective evolutionary algorithm for ordinal classification

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


2013

Negative Correlation Ensemble Learning for Ordinal Regression

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

Ordinal and nominal classification of wind speed from synoptic pressure patterns

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

Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem

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

Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks

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

Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles

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


2012

Permanent Disability Classification by Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods

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

Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for Binary Classi fication

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

Noise prediction of a diesel engine fueled with olive pomace oil methyl ester blended with diesel fuel

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

Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms

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

A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems

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

A structural distance based crossover for neural network classifiers

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


2011

Weighting efficient Accuracy and Minimum Sensitivity for evolving multi-class classifiers

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

Neuro-logistic models based on Evolutionary Generalized Radial Basis Function for the microarray gene expression classification problem

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

Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology

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

MELM-GRBF: A modified version of the Extreme Learning Machine for Generalized Radial Basis Function Neural Networks

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

Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks

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

Evolutionary q-Gaussian Radial Basis Functions Neural Networks for Multi-Classification

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

Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus

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


2010

Sensitivity Versus Accuracy in Multiclass Problems Using Memetic Pareto Evolutionary Neural Networks

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

Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises

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

Evaluating the Performance of Evolutionary Extreme Learning Machines by a Combination of Sensitivity and Accuracy Measures

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.

Development of a multi-classification neural network model to determine the microbial growth/no growth interface

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

A logistic radial basis function regression method for discrimination of cover crops in olive orchards

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


2009

Structural simplification of hybrid neuro-logistic regression models in multispectral analysis of remote sensed data

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

Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks

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


2008

Multilogistic regression by evolutionary neural network as a classification tool to discriminate highly overlapping signals: Qualitative investigation of volatile organic compounds in polluted waters

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

Mapping sunflower yield as affected by Ridolfia segetum patches and elevation by applying Evolutionary Product Unit Neural Networks to remote sensed data

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

Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data

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


2007

Combining classification and regression approaches for the quantification of highly overlapping capillary electrophoresis peaks by using evolutionary sigmoidal and product unit neural networks

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