Pedro Antonio Gutiérrez

Pedro Antonio Gutiérrez

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

Conference Proceedings


2022

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-Yun, 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 Proceedings of the 13th International Conference on European Transnational Education (ICEUTE 2022), Lecture Notes in Networks and Systems, Vol. 532, 2022, Salamanca, Spain, 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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Recommended citation: Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez, Lorenzo Bianchini, Alessandra Capriotti, Rosario Capparuccia, Emanuele Frontoni, "Predictive Maintenance of ATM machines by modelling Remaining Useful Life with Machine Learning techniques." 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.239--249. http://doi.org/10.1007/978-3-031-18050-7_23

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

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


2021

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

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Recommended citation: B. Amiri, Antonio Manuel Gómez-Orellana, Pedro Antonio Gutiérrez, K. Dahmani, R. Dizène, "Multilayer Perceptron and Cascade Forward Neural Network for Short-term Tilted Irradiation Estimation in Algerian Sahara." In The First International Conference on Renewable Energy Advanced Technologies and Applications (ICREATA'21), 2021, Research Unit for Renewable Energies in Saharan Region, Adrar, pp.116-117.

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-Yun, 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

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

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Recommended citation: Víctor Manuel Vargas-Yun, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, "ReLU-based activations: analysis and experimental study for deep learning." 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.33-43. http://doi.org/10.1007/978-3-030-85713-4_4

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

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Recommended citation: Francisco Javier Rodriguez-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, Jose Manuel Soto-Hidalgo, Juan Carlos Gámez-Granados, "Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library." In Proceedings of the IEEE International Conference on Fuzzy Systems (Fuzz-IEEE2021), 2021, Luxembourg, Luxembourg. http://doi.org/10.1109/FUZZ45933.2021.9494526

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


2020

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

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Recommended citation: Alejandro Martín, Raúl Lara-Cabrera, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Camacho, "Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks." In Proceedings of the 2020 IEEE Congress on Evolutionary Computation (CEC2020), 2020, Glasgow, UK, pp.1--8. http://doi.org/10.1109/CEC48606.2020.9185914


2019

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

A hybrid approach to time series classification with shapelets

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Recommended citation: David Guijo-Rubio, Pedro Antonio Gutiérrez, R. Tavenard, Anthony Bagnall, "A hybrid approach to time series classification with shapelets." In Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2019), Lecture Notes in Computer Science (LNCS), Vol. 11871, 2019, Manchester, UK, pp.137-144. http://doi.org/10.1007/978-3-030-33607-3_16

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

Deep Ordinal Classification Based on the Proportional Odds Model

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Recommended citation: Víctor Manuel Vargas-Yun, 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

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.

Predicción de altura de ola mediante discretización basada en distribuciones utilizando clasificación ordinal

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Recommended citation: David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Predicción de altura de ola mediante discretización basada en distribuciones utilizando clasificación ordinal." In VII Congreso Científico de Investigadores en Formación, Creando Redes Doctorales Vol. VII: Investiga y Comunica, Vol. III, 2019, Córdoba, Spain, pp.641--644.


2018

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

Time series clustering based on the characterisation of segment typologies

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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." In Proceedings of Third Bilbao Data Science Workshop (BiDAS 3), 2018, Bilbao (Spain).

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

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, Sancho Salcedo-Sanz, Luis Prieto, César Hervás-Martínez, "Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida." In Proceedings of the 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA2018), 2018, Granada (Spain), pp.132-138. http://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_88.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

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

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

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Recommended citation: Athanasia Nikolaou, Pedro Antonio Gutiérrez, Antonio Manuel Durán-Rosal, Francisco Fernandez-Navarro, César Hervás-Martínez, María Pérez-Ortiz, "Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm." In Proceedings of the 2018 European Planetary Science Congress, EPSC2018-829-1, Vol. 12, 2018, Berlin (Germany). http://meetingorganizer.copernicus.org/EPSC2018/EPSC2018-829-1.pdf

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

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Recommended citation: Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, "An Empirical Validation of a New Memetic CROAlgorithm for the Approximation of Time Series." In Proceedings of the 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA2018), Lecture Notes in Computer Science, Vol. 11160, 2018, Granada (Spain), pp.209-218. http://doi.org/10.1007/978-3-030-00374-6_20

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

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Recommended citation: Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation." In Bioinspired Optimization Methods and their Applications (BIOMA2018), Lecture Notes in Computer Science (LNCS), Vol. 10835, 2018, Paris (France), pp.126--137. http://dx.doi.org/10.1007/978-3-319-91641-5_11

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=


2017

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

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

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

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

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

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Recommended citation: Manuel Dorado-Moreno, Laura Cornejo-Bueno, Pedro Antonio Gutiérrez, Luis Prieto, Sancho Salcedo-Sanz, César Hervás-Martínez, "Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction." In 14th International Work-Conference on Artificial and Natural Neural Networks (IWANN2017), Lecture Notes in Computer Science (LNCS), Vol. 10305, 2017, Cádiz, Spain, pp.708-719. http://dx.doi.org/10.1007/978-3-319-59153-7_61

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

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Recommended citation: Francisco Javier Maestre-García, Carlos García-Martínez, María Pérez-Ortiz, Pedro Antonio Gutiérrez, "An iterated greedy algorithm for improving the generation of synthetic patterns in imbalanced learning." In 14th International Work-Conference on Artificial and Natural Neural Networks (IWANN2017), Lecture Notes in Computer Science (LNCS), Vol. 10305, 2017, Cádiz, Spain, pp.513-524. http://dx.doi.org/10.1007/978-3-319-59147-6_44

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

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Recommended citation: Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, "A coral reef optimization algorithm for wave height time series segmentation problems." In 14th International Work-Conference on Artificial and Natural Neural Networks (IWANN2017), Lecture Notes in Computer Science (LNCS), Vol. 10305, 2017, Cádiz (Spain), pp.673-684. http://dx.doi.org/10.1007/978-3-319-59153-7_58

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

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Recommended citation: Julio Camacho-Cañamón, M.V. Guiote-Moreno, A.M. Santos-Bueno, E. Rodríguez-Cáceres, E. Carmona-Asenjo, J.A. Vallejo-Casas, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Image classification of synaptic dopamine transporters 123I-Ioflupane by machine learning techniques." In 8th IMIBIC Young Investigators Meeting, 2017, Córdoba, Spain, pp.88.


2016

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

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Recommended citation: Antonio Manuel Durán-Rosal, Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Hybridization of neural network models for the prediction of extreme significant wave height segments." In 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), 2016, Athens, Greece, pp.1--8. http://dx.doi.org/10.1109/SSCI.2016.7850144

Clustering de Series Temporales basado en la Extracción de Tipologías de Segmentos

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Recommended citation: David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, César Hervás-Martínez, "Clustering de Series Temporales basado en la Extracción de Tipologías de Segmentos." In Actas del I Congreso de Investigadores Noveles de la Universidad de Córdoba, Investigando por un futuro mejor, 2016, Córdoba, Spain, pp.201-204.

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

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Recommended citation: Antonio Manuel Durán-Rosal, Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez, "On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm." In Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016), Lecture Notes in Computer Science (LNCS), Vol. 9868, 2016, Salamanca (Spain), pp.418-427. http://dx.doi.org/10.1007/978-3-319-44636-3_39

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

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Recommended citation: Manuel Dorado-Moreno, Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, L. Prieto, Sancho Salcedo-Sanz, César Hervás-Martínez, "Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines." In Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016), Lecture Notes in Computer Science (LNCS), Vol. 9868, 2016, Salamanca (Spain), pp.300-309. http://dx.doi.org/10.1007/978-3-319-44636-3_28

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

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

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

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

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

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Recommended citation: María Pérez-Ortiz, Mercedes Torres-Jiménez, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, "Fisher Score-Based Feature Selection for Ordinal Classification: ASocial Survey on Subjective Well-Being." In 11th International Conference on Hybrid Artificial Intelligent Systems (HAIS2016), Lecture Notes in Computer Science (LNCS), Vol. 9648, 2016, Seville (Spain), pp.597-608. http://dx.doi.org/10.1007/978-3-319-32034-2_50

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

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.


2015

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

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

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

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

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


2014

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

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

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/


2013

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.

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.

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

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

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

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


2012

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.

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.

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

An Experimental Study of Different Ordinal Regression Methods and Measures

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Recommended citation: Pedro Antonio Gutiérrez, María Pérez-Ortiz, Francisco Fernandez-Navarro, Javier Sánchez-Monedero, César Hervás-Martínez, "An Experimental Study of Different Ordinal Regression Methods and Measures." In 7th International Conference on Hybrid Artificial Intelligence Systems (HAIS2012), 2012, pp.296-307. http://dx.doi.org/10.1007/978-3-642-28931-6_29


2011

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.

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.

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.

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.

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.

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.

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.


2010

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.

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.

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.

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.

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.

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.

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.

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.


2009

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.

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.

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.

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.

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.

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.

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.

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.

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.


2008

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.

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.


2007

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.

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.

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.

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.

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.

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.

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.


2006

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.

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.


2005