Pedro Antonio Gutiérrez

Pedro Antonio Gutiérrez

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

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Classification by means Evolutionary Product-Unit Neural Networks

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Recommended citation: César Hervás-Martínez, Francisco José Martínez-Estudillo, Pedro Antonio Gutiérrez, "Classification by means Evolutionary Product-Unit Neural Networks." In IEEE International Joint Conference on Neural Networks (IJCNN 2006), 2006, pp.2834--2842.

Evolutionary Product-Unit Neural Networks for Classification

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Recommended citation: Francisco José Martínez-Estudillo, César Hervás-Martínez, Alfonso Carlos Martínez-Estudillo, S. Ventura, Pedro Antonio Gutiérrez, "Evolutionary Product-Unit Neural Networks for Classification." In 7th International Conference on Intelligent Data and Automated Learning (IDEAL 2006), Lecture Notes on Computer Science, Vol. 4664, 2006, pp.1320--1328.

Predicción de mapas de cosecha de girasol infestado de Ridolfia segetum en imágenes remotas mediante Redes Neuronales Evolutivas de Unidad Producto

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Recommended citation: Pedro Antonio Gutiérrez, F. López-Granados, J.M Peña-Barragán, M. Jurado-Expósito, M.T. Gómez-Casero, César Hervás-Martínez, "Predicción de mapas de cosecha de girasol infestado de Ridolfia segetum en imágenes remotas mediante Redes Neuronales Evolutivas de Unidad Producto." In XI Congreso de la Sociedad Española de Malherbología (SEMh 2007), 2007, pp.263--266.

Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks

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Recommended citation: Pedro Antonio Gutiérrez, César Hervás-Martínez, M. Lozano, "Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks." In 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL07), Lecture Notes on Computer Science, Vol. 4881, 2007, pp.1131--1140.

Aprendizaje mediante la hibridación de técnicas heurísticas y estadísticas de optimización en regresión logística binaria

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Recommended citation: César Hervás-Martínez, Francisco José Martínez-Estudillo, Alfonso Carlos Martínez-Estudillo, Pedro Antonio Gutiérrez, Juan Carlos Fernández, "Aprendizaje mediante la hibridación de técnicas heurísticas y estadísticas de optimización en regresión logística binaria." In V Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB07), 2007, Puerto de la Cruz, España, pp.61--68.

Clasificación mediante la Evolución de Modelos Híbridos de Redes Neuronales

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Recommended citation: César Hervás-Martínez, Francisco José Martínez-Estudillo, Pedro Antonio Gutiérrez, Juan Carlos Fernández, Antonio Tallón-Ballesteros, "Clasificación mediante la Evolución de Modelos Híbridos de Redes Neuronales." In V Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB07), 2007, Puerto de la Cruz, España, pp.77--84.

Algoritmos de aprendizaje evolutivo y estadístico para la determinación de mapas de malas hierbas utilizando técnicas de teledetección

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Recommended citation: Pedro Antonio Gutiérrez, Juan Carlos Fernández, César Hervás-Martínez, "Algoritmos de aprendizaje evolutivo y estadístico para la determinación de mapas de malas hierbas utilizando técnicas de teledetección." In V Taller Nacional de Minería de Datos y Aprendizaje (TAMIDA 2007), 2007, Zaragoza, España, pp.239--246.

Evolutionary combined neural networks for modelling the growth boundaries for a five strain Staphylococcus cocktail against temperature and pH and water activity

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Recommended citation: A. Valero, F. Pérez-Rodriguez, E. Carrasco, César Hervás-Martínez, Pedro Antonio Gutiérrez, Juan Carlos Fernández, R.M. Garcia, G. Zurera, "Evolutionary combined neural networks for modelling the growth boundaries for a five strain Staphylococcus cocktail against temperature and pH and water activity." In 5th International Conference in Predictive Modelling in Foods (PMF07), 2007, Athens, Greece, pp.291--294.

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

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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." In International Workshop on Hybrid Artificial Intelligence Systems (HAIS 2007), Innovations in Hybrid Intelligent Systems, Advances in Soft Computing, Vol. 44, 2007, Salamanca, Spain, pp.87--95.

Feature Selection for Hybrid Neuro-Logistic Regression applied to Classification of Remote Sensed Data

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Recommended citation: Pedro Antonio Gutiérrez, Juan Carlos Fernández, César Hervás-Martínez, F. López Granados, M. Jurado Expósito, J.M Peña-Barragán, "Feature Selection for Hybrid Neuro-Logistic Regression applied to Classification of Remote Sensed Data." In 8th International Conference on Hybrid Intelligent Systems (HIS08), 2008, Barcelona, Spain, pp.625--630.

Memetic Pareto Evolutionary Artificial Neural Networks for the determination of growth limits of Listeria Monocytogenes

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Recommended citation: Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco José Martínez-Estudillo, "Memetic Pareto Evolutionary Artificial Neural Networks for the determination of growth limits of Listeria Monocytogenes." In International Conference on Hybrid Intelligent Systems (HIS08), 2008, Barcelona, Spain, pp.631--636.

Classification by Evolutionary Generalized Radial Basis Functions

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Recommended citation: Adiel Castaño-Méndez, Francisco Fernandez-Navarro, César Hervás-Martínez, M.M. García, Pedro Antonio Gutiérrez, "Classification by Evolutionary Generalized Radial Basis Functions." In 2009 Ninth International Conference on Intelligent Systems Design and Applications (ISDA09), 2009, pp.203--208.

Ensembles de redes neuronales construidos mediante algoritmos híbridos multiobjetivo para optimizar la precisión y la sensitividad

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Recommended citation: Juan Carlos Fernández, Mariano Carbonero-Ruz, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Ensembles de redes neuronales construidos mediante algoritmos híbridos multiobjetivo para optimizar la precisión y la sensitividad." In VI Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB09), 2009, Málaga, España, pp.309-316.

Hibridación de Algoritmos de Aprendizaje para Modelos Neurologísticos aplicados a la Clasificación de Cubiertas Vegetales

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Recommended citation: Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández, J.M. Peña-Barragán, M. Jurado Expósito, F. López Granados, "Hibridación de Algoritmos de Aprendizaje para Modelos Neurologísticos aplicados a la Clasificación de Cubiertas Vegetales." In VI Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB09), 2009, Málaga, España, pp.325--332.

Técnica de Hibridación de un Algoritmo Evolutivo y una Búsqueda Local basada en Análisis Cluster para la Optimización de Redes Neuronales RBF

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Recommended citation: Francisco Fernandez-Navarro, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, "Técnica de Hibridación de un Algoritmo Evolutivo y una Búsqueda Local basada en Análisis Cluster para la Optimización de Redes Neuronales RBF." In VI Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB09), 2009, pp.317--324.

ASensitivity Clustering Method for Hybrid Evolutionary Algorithms

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Recommended citation: Francisco Fernandez-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández, "ASensitivity Clustering Method for Hybrid Evolutionary Algorithms." In Third International Work-Conference on the Interplay Between Natural and Artificial Computation (IWINAC09), Methods and Models in Artificial and Natural Computation, Lecture Notes in Computer Science, Vol. 5601, 2009, Santiago de Compostela, Spain, pp.245--254.

Hybrid multilogistic regression by means of evolutionary radial basis functions: application to precision agriculture

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Recommended citation: Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández, F. López Granados, "Hybrid multilogistic regression by means of evolutionary radial basis functions: application to precision agriculture." In 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS09), Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, Vol. 5572, 2009, Salamanca, Spain, pp.244--251.

Memetic Pareto Differential Evolution for designing Artificial Neural Networks in Multiclassification Problems using Cross-Entropy versus Sensitivity

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Recommended citation: Juan Carlos Fernández, César Hervás-Martínez, Francisco José Martínez-Estudillo, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, "Memetic Pareto Differential Evolution for designing Artificial Neural Networks in Multiclassification Problems using Cross-Entropy versus Sensitivity." In 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS09), Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, Vol. 5572, 2009, Salamanca, Spain, pp.433-441.

MultiLogistic Regression using Initial and Radial Basis Function covariates

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Recommended citation: Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco José Martínez-Estudillo, Juan Carlos Fernández, "MultiLogistic Regression using Initial and Radial Basis Function covariates." In IEEE International Joint Conference on Neural Networks (IJCNN2009), 2009, Atlanta, United States, pp.1067--1074.

Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction

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Recommended citation: César Hervás-Martínez, Pedro Antonio Gutiérrez, Juan Carlos Fernández, Sancho Salcedo-Sanz, A. Portilla Figueras, A. Perez Bellido, L. Prieto, "Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction." In Ninth International Conference on Intelligent Systems Design and Applications (ISDA09), 2009, Pisa, Italy, pp.193--198.

Aprendizaje hibrido de redes neuronales q-Gaussianas en clasificación binaria

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Recommended citation: Francisco Fernandez-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Javier Sánchez-Monedero, "Aprendizaje hibrido de redes neuronales q-Gaussianas en clasificación binaria." In VII Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB2010), 2010, pp.227-234.

Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification

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Recommended citation: Francisco Fernandez-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, Mariano Carbonero-Ruz, "Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification." In 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS2010), 2010, pp.280--287.

Evolutionary q-Gaussian Radial Basis Functions for improving prediction accuracy of gene classification using feature selection

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Recommended citation: Francisco Fernandez-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, R. Ruiz, J.C. Riquelme, "Evolutionary q-Gaussian Radial Basis Functions for improving prediction accuracy of gene classification using feature selection." In 20th International Conference on Artificial Neural Networks (ICANN10), 2010, pp.327-336.

Generalized logistic regression models using neural network basis functions applied to the detection of banking crises

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Recommended citation: Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, M.J. Segovia Vargas, A. Sanchís, J.A. Portilla Figueras, Francisco Fernandez-Navarro, César Hervás-Martínez, "Generalized logistic regression models using neural network basis functions applied to the detection of banking crises." In 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE2010), 2010, pp.1--10.

Predicción a Corto Plazo de la Velocidad del Viento en Parques Eólicos Mediante Redes Evolutivas de Unidades Producto

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Recommended citation: César Hervás-Martínez, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, E. Ortíz García, A. Portilla Figueras, L. Prieto, "Predicción a Corto Plazo de la Velocidad del Viento en Parques Eólicos Mediante Redes Evolutivas de Unidades Producto." In VII Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB2010), 2010, pp.235-242.

Methodology for the recognition and diagnosis of students performance by discriminant analisys and artificial neural networks

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Recommended citation: Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, Juan Carlos Fernández, Francisco Fernandez-Navarro, "Methodology for the recognition and diagnosis of students performance by discriminant analisys and artificial neural networks." In 1st International Conference on EUropean Transnational Education (ICEUTE2010), 2010, Burgos, Spain, pp.107-115.

Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers

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Recommended citation: Manuel Cruz-Ramírez, Juan Carlos Fernández, Javier Sánchez-Monedero, Francisco Fernandez-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, M.T. Lamata, "Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers." In Proceedings of the 10th International Conference on Intelligent Systems Design and Applications (ISDA2010), 2010, Cairo, Egypt, pp.513-518.

On the suitability of Extreme Learning Machine for gene classification using feature selection

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Recommended citation: Javier Sánchez-Monedero, Manuel Cruz-Ramírez, Francisco Fernandez-Navarro, Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez, "On the suitability of Extreme Learning Machine for gene classification using feature selection." In 10th International Conference on Intelligent Systems Design and Applications (ISDA2010), 2010, Cairo, Egypt, pp.507-512.

Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification

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Recommended citation: Adiel Castaño-Méndez, Francisco Fernandez-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification." In 2011 International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO2011), 2011, pp.263-270.

Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation

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Recommended citation: Manuel Cruz-Ramírez, César Hervás-Martínez, Pedro Antonio Gutiérrez, Javier Briceño, Manuel Mata, "Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation." In 11th international conference on Artificial neural networks conference (IWANN'11), Advances in Computational Intelligence, Vol. II, 2011, pp.129-136.

Ordinal classification of depression spatial hot-spots of prevalence

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Recommended citation: María Pérez-Ortiz, Pedro Antonio Gutiérrez, Carlos García-Alonso, L. Salvador Carulla, J.A. Salinas Pérez, César Hervás-Martínez, "Ordinal classification of depression spatial hot-spots of prevalence." In 11th International Conference on Intelligent Systems Design andApplications (ISDA 2011), 2011, pp.1170-1175.

Permanent Disability Classification using Hybrid Neuro-Logistic Regression Models

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Recommended citation: Pedro Antonio Gutiérrez, M. Baena-García, R. Morales-Bueno, César Hervás-Martínez, "Permanent Disability Classification using Hybrid Neuro-Logistic Regression Models." In 2011 IEEE Workshop on Hybrid Intelligent Models and Applications (IEEE Symposium Series on Computational Intelligence) (HIMA (SSCI)), 2011, pp.46-53.

Sound source identification in vehicles using a combined Linear-Evolutionary Product Unit Neural Network model

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Recommended citation: M. D. Redel-Macías, Pedro Antonio Gutiérrez, A. Cubero-Atienza, César Hervás-Martínez, "Sound source identification in vehicles using a combined Linear-Evolutionary Product Unit Neural Network model." In 2011 International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO11), 2011, pp.379-386.

Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns

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Recommended citation: Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, Leo Carro-Calvo, Javier Sánchez-Monedero, Luis Prieto, "Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns." In 11th International Conference on Intelligent Systems Design andApplications (ISDA 2011), 2011, pp.1265-1270.

Numerical variable reconstruction from ordinal categories based on probability distributions

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Recommended citation: Javier Sánchez-Monedero, Mariano Carbonero-Ruz, David Becerra-Alonso, Francisco José Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Numerical variable reconstruction from ordinal categories based on probability distributions." In 11th International Conference on Intelligent Systems Design andApplications (ISDA 2011), 2011, pp.1182-1187.

Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions

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Recommended citation: Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions." In 7th International Conference on Hybrid Artificial Intelligence Systems (HAIS2012), 2012, pp.319-330. http://dx.doi.org/10.1007/978-3-642-28931-6_31

Approaching system administration as a group project in computer engineering higher education

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Recommended citation: Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, Manuel Cruz-Ramírez, Juan Carlos Fernández, Francisco Fernandez-Navarro, "Approaching system administration as a group project in computer engineering higher education." In Third International Conference on EUropean Transnational Education (ICEUTE'12), Advances in Intelligent Systems and Computing, Vol. 189, 2012, Ostrava, Czech Republic, pp.331-340.

Multiobjective Pareto Ordinal Classification for Predictive Microbiology

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Recommended citation: Manuel Cruz-Ramírez, Juan Carlos Fernández, Antonio Valero, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Multiobjective Pareto Ordinal Classification for Predictive Microbiology." In 7th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO'12), Advances in Intelligent Systems and Computing, Vol. 188, 2012, Ostrava, Czech Republic, pp.153-162.

Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment

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Recommended citation: María Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, "Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment." In 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2013), 2013, Bruges, Belgium, pp.391-396. https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2013-21.pdf

A n-spheres based synthetic data generator for supervised classification

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Recommended citation: Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, María Pérez-Ortiz, César Hervás-Martínez, "A n-spheres based synthetic data generator for supervised classification." In International Work Conference on Artificial Neural Networks (IWANN 2013), Lecture Notes in Computer Science, Vol. 7902, 2013, Tenerife, Spain, pp.613--621. http://dx.doi.org/10.1007/978-3-642-38679-4_62

Adressing Remitting Behavior Using an Ordinal Classification Approach

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Recommended citation: Pilar Campoy-Muñoz, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Adressing Remitting Behavior Using an Ordinal Classification Approach." In Natural and Artificial Computation in Engineering and Medical Applications (5th International Work-Conference on the Interplay Between Natural and Artificial Computation (IWINAC 2013), Part II), Lecture Notes in Computer Science, Vol. 7931, 2013, Mallorca, Spain, pp.326--335. http://link.springer.com/chapter/10.1007%2F978-3-642-38622-0_34

Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping

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Recommended citation: María Pérez-Ortiz, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Javier Sánchez-Monedero, César Hervás-Martínez, "Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping." In 12th International Work Conference on Artificial Neural Networks (IWANN2013), Lecture Notes on Computer Science (LNCS), Vol. 7902, 2013, Tenerife, Spain, pp.270-280. http://dx.doi.org/10.1007/978-3-642-40846-5_47

Asignación de órganos en trasplante hepático mediante regresión ordinal

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Recommended citation: César Hervás-Martínez, María Pérez-Ortiz, Manuel Cruz-Ramírez, Pedro Antonio Gutiérrez, "Asignación de órganos en trasplante hepático mediante regresión ordinal." In Actas del VII Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA2013), XV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2013), 2013, Madrid (Spain), pp.1343-1352.

Estudio comparativo de distintos métodos de umbral en regresión ordinal

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Recommended citation: Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, César Hervás-Martínez, "Estudio comparativo de distintos métodos de umbral en regresión ordinal." In IX Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2013), 2013, Madrid, Spain, pp.872--881.

Utilidad de los modelos de aprendizaje automático para la predicción de la recidiva del hepatocarcinoma tras el trasplante hepático

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JCR(2014): 0.838 Position: 80/84 (Q4) Category: GASTROENTEROLOGY & HEPATOLOGY.

Recommended citation: Manuel Rodriguez-Perálvarez, Manuel Cruz-Ramírez, E. Tsochatzis, Carlos García-Caparrós, Pedro Antonio Gutiérrez, G. Pieri, María Pérez-Ortiz, J.L. Montero-Alvarez, A. Poyato, Javier Briceño, A. Burroughs, César Hervás-Martínez, Manuel Mata, "Utilidad de los modelos de aprendizaje automático para la predicción de la recidiva del hepatocarcinoma tras el trasplante hepático." In Congreso de la Asociación Española para el Estudio del Hígado, Gastroenterologia y Hepatologia, Vol. 37(37), 2014, pp.94. http://aeeh.es/scheduler/congreso-aeeh-2014/

Log-gamma distribution optimisation via maximum likelihood for ordered probability estimates

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Recommended citation: María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Log-gamma distribution optimisation via maximum likelihood for ordered probability estimates." In 9th International Conference on Hybrid Artificial Intelligence Systems (HAIS2014), Lecture Notes in Computer Science (LNCS), Vol. 8480, 2014, Salamanca (Spain), pp.454--465. http://dx.doi.org/10.1007/978-3-319-07617-1_40

Time series segmentation of paleoclimate tipping points by an evolutionary algorithm

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Recommended citation: María Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, Athanasia Nikolaou, Isabelle Dicaire, Francisco Fernandez-Navarro, "Time series segmentation of paleoclimate tipping points by an evolutionary algorithm." In 9th International Conference on Hybrid Artificial Intelligence Systems (HAIS2014), Lecture Notes in Computer Science, Vol. 8480, 2014, Salamanca (Spain), pp.318--329. http://dx.doi.org/10.1007/978-3-319-07617-1_29

An experimental comparison for the identification of weeds in sunflower crops via unmanned aerial vehicles and object-based analysis

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Recommended citation: María Pérez-Ortiz, Pedro Antonio Gutiérrez, J.M. Peña, J. Torres-Sánchez, César Hervás-Martínez, F. López Granados, "An experimental comparison for the identification of weeds in sunflower crops via unmanned aerial vehicles and object-based analysis." In 13th International Work-Conference on Artificial Neural Networks (IWANN 2015), Lecture Notes in Computer Science, Vol. 9094, 2015, Palma de Mallorca (Spain), pp.252--262. http://link.springer.com/chapter/10.1007%2F978-3-319-19258-1_22

Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series

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Recommended citation: Antonio Manuel Durán-Rosal, Mónica Paz, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series." In 13th International Work-Conference on Artificial Neural Networks (IWANN 2015), Lecture Notes in Computer Science, Vol. 9095, 2015, Palma de Mallorca (Spain), pp.69--79. http://dx.doi.org/10.1007/978-3-319-19222-2_6

Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model

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Recommended citation: Pedro Antonio Gutiérrez, Juan Carlos Fernández, María Pérez-Ortiz, Laura Cornejo-Bueno, Enrique Alexandre-Cortizo, Sancho Salcedo-Sanz, César Hervás-Martínez, "Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model." In 13th International Work-Conference on Artificial Neural Networks (IWANN 2015), Lecture Notes in Computer Science (LNCS), Vol. 9095, 2015, Palma de Mallorca (Spain), pp.92-102. http://link.springer.com/chapter/10.1007%2F978-3-319-19222-2_8

Nonlinear Ordinal Logistic Regression using covariates obtained by Radial Basis Function neural networks models

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Recommended citation: Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, "Nonlinear Ordinal Logistic Regression using covariates obtained by Radial Basis Function neural networks models." In 13th International Work-Conference on Artificial Neural Networks (IWANN 2015), Lecture Notes in Computer Science (LNCS), Vol. 9095, 2015, Palma de Mallorca (Spain), pp.80--91. http://link.springer.com/chapter/10.1007%2F978-3-319-19222-2_7

Overcoming the linearity of Ordinal Logistic Regression adding non-linear covariates from Evolutionary Hybrid Neural Network models

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Recommended citation: Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, "Overcoming the linearity of Ordinal Logistic Regression adding non-linear covariates from Evolutionary Hybrid Neural Network models." In 16th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2015), Lecture Notes in Computer Science (LNCS), Vol. 9422, 2015, Albacete (Spain), pp.301--311. http://doi.org/10.1007/978-3-319-24598-0_27

Machine learning decomposition models for partial ordering problems: An application to melanoma severity classification

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Recommended citation: Javier Sánchez-Monedero, María Pérez-Ortiz, A. Sáez, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Machine learning decomposition models for partial ordering problems: An application to melanoma severity classification." In Proceedings of the 1st Workshop on Advances and Applications of Data Science & Engineering, 2016, pp.113-118.

Classification of Melanoma Presence and Thickness Based on Computational Image Analysis

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Recommended citation: Javier Sánchez-Monedero, Aurora Sáez, María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Classification of Melanoma Presence and Thickness Based on Computational Image Analysis." In 11th International Conference on Hybrid Artificial Intelligent Systems (HAIS2016), Lecture Notes in Computer Science (LNCS), Vol. 9648, 2016, Seville (Spain), pp.427-438. http://dx.doi.org/10.1007/978-3-319-32034-2_36

Fisher Score-Based Feature Selection for Ordinal Classification: ASocial Survey on Subjective Well-Being

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Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem

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Recommended citation: Manuel Dorado-Moreno, María Pérez-Ortiz, Maria Dolores Ayllón-Terán, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem." In 11th International Conference on Hybrid Artificial Intelligent Systems (HAIS2016), Lecture Notes in Computer Science (LNCS), Vol. 9648, 2016, Seville (Spain), pp.451-462. http://dx.doi.org/10.1007/978-3-319-32034-2_38

Time Series Representation by a Novel Hybrid Segmentation Algorithm

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Recommended citation: Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Francisco José Martínez-Estudillo, César Hervás-Martínez, "Time Series Representation by a Novel Hybrid Segmentation Algorithm." In 11th International Conference on Hybrid Artificial Intelligent Systems (HAIS2016), Lecture Notes in Computer Science, Vol. 9648, 2016, Sevilla (Spain), pp.163-173. http://dx.doi.org/10.1007/978-3-319-32034-2_14

Tackling the ordinal and imbalance nature of a melanoma image classification problem

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Recommended citation: María Pérez-Ortiz, Aurora Saez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Tackling the ordinal and imbalance nature of a melanoma image classification problem." In IEEE International Joint Conference on Neural Networks (IJCNN2016), 2016, Vancouver, BC, Canada, pp.2156-2163. http://doi.org/10.1109/IJCNN.2016.7727466

Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis

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Recommended citation: María Pérez-Ortiz, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, César Hervás-Martínez, "Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis." In Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016), Lecture Notes on Computer Science (LNCS), Vol. 9868, 2016, Salamanca, Spain, pp.79-88. http://dx.doi.org/10.1007/978-3-319-44636-3_8

Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines

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On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm

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Hybridization of neural network models for the prediction of extreme significant wave height segments

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Image classification of synaptic dopamine transporters 123I-Ioflupane by machine learning techniques

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A coral reef optimization algorithm for wave height time series segmentation problems

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An iterated greedy algorithm for improving the generation of synthetic patterns in imbalanced learning

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Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction

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Multiobjective time series segmentation by improving clustering quality and reducing approximation error

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Recommended citation: Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Francisco José Martínez-Estudillo, César Hervás-Martínez, "Multiobjective time series segmentation by improving clustering quality and reducing approximation error." In Proceeding of the Metaheuristics International Conference (MIC 2017) and the XII Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2017) Conference, 2017, Barcelona, pp.920-922. http://www.dropbox.com/s/vzt9wway5knp6ue/Proceedings%20MIC-MAEB%202017.pdf?dl=0

Estimating rodent brain volume by a deformable contour model

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Recommended citation: Julio Camacho-Cañamón, María J. Carreira, Pedro Antonio Gutiérrez, Ramón Iglesias-Rey, "Estimating rodent brain volume by a deformable contour model." In Annual Conference on Medical Image Understanding and Analysis ( MIUA 2017), Communications in Computer and Information Science (CCIS), Vol. 723, 2017, Edinburgh, United Kingdom, pp.686-697. http://doi.org/10.1007/978-3-319-60964-5_60

Clasificación de imágenes de transportadores sinápticos de dopamina con 123I-Ioflupano mediante técnicas de aprendizaje automático

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Recommended citation: Julio Camacho-Cañamón, Victoria Guiote Moreno, Antonio Santos Bueno, Ester Rodríguez-Cáceres, Elvira Carmona Asenjo, Juan Antonio Casas, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Clasificación de imágenes de transportadores sinápticos de dopamina con 123I-Ioflupano mediante técnicas de aprendizaje automático." In 36.º Congreso de la Sociedad Española de Medicina Nuclear e Imagen Molecular, Revista Española de Medicina Nuclear e Imagen Molecular, Vol. Sup 1(36), 2017, Palma de Mallorca (Spain), pp.5. http://www.elsevier.es/es-revista-revista-espanola-medicina-nuclear-e-125-congresos-36-congreso-sociedad-espanola-medicina-50-sesion-neurociencias-3399-comunicacion-clasificacin-de-imgenes-de-transportadores-38614

Image classification of synaptic dopamine transporters 123I-Ioflupane by machine learning techniques

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Recommended citation: Julio Camacho-Cañamón, María Victoria Guiote, Antonio Mª Bueno, Ester Rodríguez-Cáceres, Elvira Carmona Asenjo, Juan Antonio Casas, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Image classification of synaptic dopamine transporters 123I-Ioflupane by machine learning techniques." In Proceedings of the 2017 Annual Congress of the European Association of Nuclear Medicine (EANM17), European Journal of Nuclear Medicine and Molecular Imaging, Vol. 44(2), 2017, Vienna, Austria, pp.S285-S286. http://doi.org/10.1007/s00259-017-3822-1

Detección y predicción de segmentos de altura de olas extremas

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Recommended citation: Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Detección y predicción de segmentos de altura de olas extremas." In VI Congreso Científico de Investigadores en Formación, Creando Redes Doctorales: La generación del conocimiento, Vol. 6, 2018, Córdoba, Spain, pp.509-512. http://www.uco.es/ucopress/index.php/en/?option=com_hikashop{\&}ctrl=product{\&}task=show{\&}cid=620{\&}name=ebook-creando-redes-doctorales-vol-vi-la-generacion-del-conocimiento{\&}Itemid=976{\&}category_pathway=

Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation

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An Empirical Validation of a New Memetic CROAlgorithm for the Approximation of Time Series

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

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Algoritmos de aprendizaje automático para predicción de niveles de niebla usando ventanas estáticas y dinámicas

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Recommended citation: Miguel Diaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, Carlos Casanova-Mateo, Sancho Salcedo-Sanz, César Hervás-Martínez, "Algoritmos de aprendizaje automático para predicción de niveles de niebla usando ventanas estáticas y dinámicas." In Proceedings of the 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA2018), 2018, Granada (Spain), pp.833-838. http://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_122.pdf

Clasificación ordinal de los grados de afectación de la enfermedad de Parkinson empleando imágenes de transportadores presinápticos de dopamina

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Recommended citation: Julio Camacho-Cañamón, María-Victoria Guiote, Antonio-María Santos-Bueno, Ester Rodríguez-Cáceres, Elvira Carmona-Asenjo, Juan-Antonio Vallejo-Casas, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Clasificación ordinal de los grados de afectación de la enfermedad de Parkinson empleando imágenes de transportadores presinápticos de dopamina." In Proceedings of the 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA2018), 2018, Granada (Spain), pp.167-172. http://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_111.pdf

Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida

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Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction

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Recommended citation: David Guijo-Rubio, Antonio Manuel Durán-Rosal, Antonio Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction." In Proceedings of the 2018 International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2018), Lecture Notes in Computer Science (LNCS), Vol. 11315, 2018, Madrid, Spain, pp.171-179. http://doi.org/10.1007/978-3-030-03496-2_20

Wind power ramp events ordinal prediction using minimum complexity echo state networks

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Recommended citation: Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, Luis Prieto, César Hervás-Martínez, "Wind power ramp events ordinal prediction using minimum complexity echo state networks." In Proceedings of the 2018 International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2018), Lecture Notes in Computer Science (LNCS), Vol. 11315, 2018, Madrid, Spain, pp.180-187. http://doi.org/10.1007/978-3-030-03496-2_21

Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida

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Recommended citation: Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida." In VII Congreso Científico de Investigadores en Formación, Creando Redes Doctorales Vol. VII: Investiga y Comunica, Vol. III, 2019, Córdoba, Spain, pp.629--632.

Deep Ordinal Classification Based on the Proportional Odds Model

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Recommended citation: Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Deep Ordinal Classification Based on the Proportional Odds Model." In Proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation (IWINAC 2019), Lecture Notes in Computer Science (LNCS), Vol. 11487, 2019, Almería (España), pp.441-451. http://doi.org/10.1007/978-3-030-19651-6_43

Ten Minutes Solar Irradiation Forecasting on Inclined Plane using Evolutionary Product Unit Neural Networks

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Recommended citation: Billel Amiri, Antonio Manuel Gómez-Orellana, Pedro Antonio Gutiérrez, Rabah Dizéne, César Hervás-Martínez, Dahmani Kahina, "Ten Minutes Solar Irradiation Forecasting on Inclined Plane using Evolutionary Product Unit Neural Networks." In Proceedings of the 2019 International Conference of Computer Science and Renewable Energies (ICCSRE), 2019, Agadir, Morocco. http://doi.org/10.1109/ICCSRE.2019.8807613

A hybrid approach to time series classification with shapelets

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Modelling survival by machine learning methods in liver transplantation: application to the UNOS dataset

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Recommended citation: David Guijo-Rubio, Pedro J. Villalón-Vaquero, Pedro Antonio Gutiérrez, María Dolores Ayllón, Javier Briceño, César Hervás-Martínez, "Modelling survival by machine learning methods in liver transplantation: application to the UNOS dataset." In Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2019), Lecture Notes in Computer Science (LNCS), Vol. 11872, 2019, Manchester, UK, pp.97-104. http://doi.org/10.1007/978-3-030-33617-2_11

Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks

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Error-correcting output codes in the framework of deep ordinal classification

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Recommended citation: Javier Barbero-Gómez, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Error-correcting output codes in the framework of deep ordinal classification." In 2021 International Work-conference on Artificial Neural Networks (IWANN 2021), Lecture Notes in Computer Science (LNCS), Vol. 12862(Part II), 2021, Online, pp.3-13. http://doi.org/10.1007/978-3-030-85099-9_1

Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library

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ReLU-based activations: analysis and experimental study for deep learning

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Studying the effect of different Lp norms in the context of Time Series Ordinal Classification

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Recommended citation: David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Studying the effect of different Lp norms in the context of Time Series Ordinal Classification." In Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA), Lecture Notes in Artificial Intelligence (LNAI), Vol. 12882, 2021, Malaga, Spain, pp.44-53. http://doi.org/10.1007/978-3-030-85713-4_5

Multilayer Perceptron and Cascade Forward Neural Network for Short-term Tilted Irradiation Estimation in Algerian Sahara

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Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain

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Recommended citation: Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain." In Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence (Proceedings of the 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022), Lecture Notes in Computer Science (LNCS), Vol. 13259(Part II), 2022, Tenerife, Spain, pp.462--471. http://doi.org/10.1007/978-3-031-06527-9_46

Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data using Time Series Classification

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Recommended citation: Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data using Time Series Classification." In Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), Lecture Notes in Networks and Systems, Vol. 531, 2022, Salamanca, Spain, pp.146--155. http://doi.org/10.1007/978-3-031-18050-7_14

Gamifying the classroom for the acquisition of skills associated with Machine Learning: a two-year case study

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Recommended citation: Antonio Manuel Durán-Rosal, David Guijo-Rubio, Víctor Manuel Vargas, Antonio Manuel Gómez-Orellana, Pedro Antonio Gutiérrez, Juan Carlos Fernández, "Gamifying the classroom for the acquisition of skills associated with Machine Learning: a two-year case study." In Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022), 13th International Conference on EUropean Transnational Education (ICEUTE 2022), Lecture Notes in Networks and Systems, Vol. 532, 2022, Universidad de Salamanca (Salamanca, España), pp.224-235. http://doi.org/10.1007/978-3-031-18409-3_22

Predictive Maintenance of ATM machines by modelling Remaining Useful Life with Machine Learning techniques

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UTILIDADDELGENDER-EQUITYMODELFORLIVERALLOCATION (GEMA) ENUNCONTEXTODEACORTAMIENTODELALISTADEESPERADETRASPLANTEHEPÁTICO

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Recommended citation: Manuel Luis Perálvarez, Antonio Manuel Gómez-Orellana, Avik Majumdar, María Dolores Ayllón, Pedro Antonio Gutiérrez, Pilar Barrera Baena, David Guijo-Rubio, César Hervás-Martínez, Manuel Mata, Emmanuel Tsochatzis, "UTILIDADDELGENDER-EQUITYMODELFORLIVERALLOCATION (GEMA) ENUNCONTEXTODEACORTAMIENTODELALISTADEESPERADETRASPLANTEHEPÁTICO." In 49.º Congreso Anual de la Asociación Española para el Estudio del Hígado, 2023. http://www.elsevier.es/es-revista-gastroenterologia-hepatologia-14-sumario-vol-46-num-s2-X0210570523X00S20?local=true

ADictionary-Based Approach to Time Series Ordinal Classification

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Recommended citation: Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, "ADictionary-Based Approach to Time Series Ordinal Classification." In IWANN 2023: Advances in Computational Intelligence, Lecture Notes in Computer Science (LNCS), Vol. 14135, 2023, Ponta Delgada, Portugal, pp.541--552. http://link.springer.com/chapter/10.1007/978-3-031-43078-7_44

Evaluating the Performance of Explanation Methods on Ordinal Regression CNNModels

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Recommended citation: Javier Barbero-Gómez, Ricardo Cruz, Jaime S. Cardoso, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Evaluating the Performance of Explanation Methods on Ordinal Regression CNNModels." In IWANN 2023: Advances in Computational Intelligence, Lecture Notes in Computer Science (LNCS), Vol. 14135, 2023, Ponta Delgada, Portugal, pp.529--540. http://link.springer.com/chapter/10.1007/978-3-031-43078-7_43

Gramian Angular and Markov Transition Fields applied to Time Series Ordinal Classification

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Recommended citation: Víctor Manuel Vargas, Rafael Ayllón-Gavilán, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio, "Gramian Angular and Markov Transition Fields applied to Time Series Ordinal Classification." In IWANN 2023: Advances in Computational Intelligence, Lecture Notes in Computer Science (LNCS), Vol. 14135, 2023, Ponta Delgada, Portugal, pp.505--516. http://link.springer.com/chapter/10.1007/978-3-031-43078-7_41

Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors

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Recommended citation: M. Rivera-Gavilán, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, J. Briceño, César Hervás-Martínez, David Guijo-Rubio, "Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors." In IWANN 2023: Advances in Computational Intelligence, Lecture Notes in Computer Science (LNCS), Vol. 14135, 2023, Ponta Delgada, Portugal, pp.517-528. http://link.springer.com/chapter/10.1007/978-3-031-43078-7_42

Autoencoder-based model for improving reconstruction of heat waves using the analogue method

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Recommended citation: Jorge Pérez-Aracil, Cosmin M Marina, Pedro Antonio Gutiérrez, David Barriopedro, Ricardo García-Herrera, Matteo Giuliani, Ronan McAdam, Enrico Scoccimarro, Eduardo Zorita, Andrea Castelletti, Sancho Salcedo-Sanz, "Autoencoder-based model for improving reconstruction of heat waves using the analogue method." In Abstracts of the EGU General Assembly 2024, 2024, Viena, Austria, pp.EGU24-12600. http://doi.org/10.5194/egusphere-egu24-12600

Energy Flux Prediction Using an Ordinal Soft Labelling Strategy

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Recommended citation: Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, César Hervás-Martínez, David Guijo-Rubio, "Energy Flux Prediction Using an Ordinal Soft Labelling Strategy." In Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, Vol. 14675, 2024, IWINAC, pp.283-292. http://doi.org/10.1007/978-3-031-61137-7_26

Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm

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Recommended citation: Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas, David Guijo-Rubio, Jorge Pérez-Aracil, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, "Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm." In Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, Vol. 14675, 2024, IWINAC, pp.293-302. http://doi.org/10.1007/978-3-031-61137-7_27

OS-024 The gender-equity model for liver allocation built on artificial intelligence (GEMA-AI) improves outcome predictions among liver transplant candidates

Published:

(JCR: 26.8)

Recommended citation: Manuel Rodríguez-Perálvez, Antonio Manuel Gómez-Orellana, David Guijo-Rubio, Pedro Antonio Gutiérrez, Avik Majumdar, Geoff McCaughan, Rhiannon Taylor, César Hervás-Martínez, Emmanuel Tsochatzis, "OS-024 The gender-equity model for liver allocation built on artificial intelligence (GEMA-AI) improves outcome predictions among liver transplant candidates." In Journal of Hepatology, Vol. 80, 2024, pp.S23. http://doi.org/10.1016/S0168-8278(24)00465-3

Explainable artificial neural networks improve the performance of the Gender-Equity Model for liver Allocation (GEMA) to prioritize candidates for liver transplantation

Published:

(JCR: 5.1)

Recommended citation: M. Rodríguez-Perálvarez, Antonio Manuel Gómez-Orellana, David Guijo-Rubio, Pedro Antonio Gutiérrez, A. Majumdar, G. McCaughan, R. Taylor, E.A. Tsochatzis, César Hervás-Martínez, "Explainable artificial neural networks improve the performance of the Gender-Equity Model for liver Allocation (GEMA) to prioritize candidates for liver transplantation." In ILTS Annual Congress 2024, Vol. 30, 2024, pp.1--309. http://journals.lww.com/lt/citation/2024/09001/ilts_annual_congress_2024_abstracts.1.aspx

publications

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 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

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

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

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

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

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

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

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

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

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

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

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/

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

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

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

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

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

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

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

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

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

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

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

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/

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

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

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

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

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

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

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

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

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

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

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

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 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

talks

teaching

University of Córdoba

Undergraduate and graduate courses, University of Córdoba, Deparment of Computer Science and Numerical Analysis, 2008

These are the modules in which I have been involved:

  • Programación y Administración de Sistemas, Grado en Ingeniería Informática. Responsible (theory and labs). University of Córdoba. Academic periods: 2011-2012, 2012-2013, 2013-2014, 2014-2015, 2015-2016, 2016-2017, 2017-2018, 2018-2019, 2019-2020, 2020-2021, 2021-2022.
  • Introducción al Aprendizaje Automático, Grado en Ingeniería Informática. Theory. University of Córdoba. Academic periods: 2016-2017, 2017-2018.
  • Introducción a Modelos Computacionales (Spanish), Grado en Ingeniería Informática. Labs. University of Córdoba. Academic periods: 2013-2014, 2014-2015, 2015-2016, 2016-2017, 2017-2018, 2018-2019, 2019-2020, 2020-2021, 2021-2022, 2022-2023.
  • Aprendizaje Profundo, Master en Inteligencia Computacional e Internet de las Cosas. Theory. University of Córdoba. Academic periods: 2021-2022, 2022-2023.
  • Sistemas Operativos Distribuidos, Ingeniero en Informática. Responsible (theory and labs). University of Córdoba. Academic periods: 2008-2009, 2009-2010, 2010-2011, 2011-2012.
  • Sistemas Distribuidos, Master en Ingeniería Informática. Theory. University of Córdoba. Academic periods: 2014-2015, 2015-2016, 2016-2017, 2017-2018.
  • Introducción a Modelos Computacionales (English), Grado en Ingeniería Informática. Labs and Theory. University of Córdoba. Academic periods: 2020-2021, 2021-2022, 2022-2023.
  • Introducción a la Programación, Grado en Ingeniería Informática. Labs. University of Córdoba. Academic periods: 2022-2023.
  • Metaheurísticas (Spanish), Grado en Ingeniería Informática. Labs. University of Córdoba. Academic periods: 2012-2013, 2013-2014, 2014-2015.
  • Metaheurísticas (English), Grado en Ingeniería Informática. Labs. University of Córdoba. Academic periods: 2017-2018, 2018-2019.
  • Inteligencia Web, Master en Sistemas Inteligentes. Theory. University of Córdoba. Academic periods: 2010-2011, 2011-2012, 2013-2014.
  • Modelado de Redes Neuronales Computacionales: Aplicaciones, Master en Ingeniería Informática. Theory. University of Córdoba. Academic periods: 2015-2016.
  • Análisis automático de datos para las ciencias biomédicas, medioambientales y agroalimentarias, Asignaturas transversales Masteres Universitarios. Theory. University of Córdoba. Academic periods: 2015-2016, 2016-2017, 2017-2018, 2018-2019, 2020-2021.
  • Herramientas Informáticas Profesionales, Grado de Traducción e Interpretación. Theory. University of Córdoba. Academic periods: 2013-2014.
  • Metodología y Tecnología de la Programación, Ingeniero Técnico Informática de Gestión. Labs. University of Córdoba. Academic periods: 2008-2009, 2009-2010.
  • Metodología y Tecnología de la Programación, Ingeniero Técnico Informática de Sistemas. Labs. University of Córdoba. Academic periods: 2009-2010.
  • Fundamentos de Informática, Grado en Ingeniería Electrónica Industrial. Labs. University of Córdoba. Academic periods: 2010-2011.
  • Fundamentos de Informática, Grado en Ingeniería Mecánica. Labs. University of Córdoba. Academic periods: 2010-2011.
  • Métodos y Paquetes Estadísticos, Grado de Ingeniería Forestal. Theory. University of Córdoba. Academic periods: 2012-2013.
  • Métodos y Paquetes Estadísticos, Grado de Ingeniería Agroalimentaria y del Medio Rural. Theory. University of Córdoba. Academic periods: 2012-2013.