Year: 2013 (19)

• M.L. Cosano. "Reformulación del Índice de Privación: el Caso de la Comunidad Autónoma Andaluza". C. García-Alonso. 2013. [More] [Bibtex] [RIS] [MODS]
• R.J. Rodríguez. "Utilidad de las redes neuronales artificiales en la asignación donante-receptor en trasplante hepático". Dr. Fco. Javier Briceño Delgado y Dr. Manuel de la Mata García. 2013. [More] [Bibtex] [RIS] [MODS]
• A. Tallón. "Nuevos Modelos de Redes Neuronales Evolutivas para Clasificación. Aplicación a Unidades Producto y Unidades Sigmoide". C. Hervás-Martínez, J. Riquelme. 2013. [More] [Bibtex] [RIS] [MODS]
• A. Castaño-Méndez. "Redes Neuronales Evolutivas de Funciones de Base Radial Generalizadas en Clasificación: Aplicaciones". César Hervás-Martínez. 2013. [More] [Bibtex] [RIS] [MODS]
• A. Tallón-Ballesteros, C. Hervás-Martínez, J. Riquelme and R. Ruiz. "Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems", Neurocomputing, Vol. 114(19). 2013, pp. 107-117. [More] [Bibtex] [RIS] [MODS]
• A. Tallón-Ballesteros, C. Hervás-Martínez and P.A. Gutiérrez. "An Extended Approach of a Two-Stage Evolutionary Algorithm in Artificial Neural Networks for Multiclassification Tasks". I. Jordanov and L.C. Jain eds. Springer. 2013. pp. 139-153. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, M. Cruz-Ramírez, J. Sánchez-Monedero and C. Hervás-Martínez. "Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping". 12th International Work Conference on Artificial Neural Networks (IWANN2013). 12th-14th June. 2013. Tenerife, Spain. Lecture Notes on Computer Science (LNCS), vol. 7902. pp. 270-280. [More] [Bibtex] [RIS] [MODS]
• J. Sánchez-Monedero, P.A. Gutiérrez and C. Hervás-Martínez. "Evolutionary ordinal extreme learning machine". 8th International Conference on Hybrid Artificial Intelligence Systems (HAIS2013). Pan, Jeng-Shyang, Polycarpou, MariosM., Woźniak, Michał, Carvalho, A.P. F., Quintián, Héctor, Corchado and Emilio eds. 11th-13th September. 2013. Salamanca (Spain). Lecture Notes in Computer Science (LNCS), vol. 8073. pp. 500-509. [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, M. Pérez-Ortiz, J. Sánchez-Monedero and C. Hervás-Martínez. "Estudio comparativo de distintos métodos de umbral en regresión ordinal". IX Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2013). 17th-20th September. 2013. Madrid, Spain. pp. 872-881. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez and C. Hervás-Martínez. "Synthetic over-sampling in the empirical feature space". 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2013). 24th-25th April. 2013. Bruges, Belgium. pp. 385-390. [More] [Bibtex] [RIS] [MODS]
• A. Castaño-Méndez, F. Fernandez-Navarro and C. Hervás-Martínez. "PCA-ELM: A Robust and Pruned Extreme Learning Machine approach based on Principal Component Analysis", Neural Processing Letters, Vol. 37(3). 2013, pp. 377-392. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, J. Sánchez-Monedero and C. Hervás-Martínez. "Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment". 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2013). 24th-25th April. 2013. Bruges, Belgium. pp. 391-396. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez and C. Hervás-Martínez. "Borderline kernel based over-sampling". 8th International Conference on Hybrid Artificial Intelligence Systems (HAIS2013). 11th-13th September. 2013. Salamanca (Spain). Lecture Notes on Computer Science (LNCS), vol. 8073. pp. 472-481. [More] [Bibtex] [RIS] [MODS]
• J. Sánchez-Monedero, P.A. Gutiérrez, M. Pérez-Ortiz and C. Hervás-Martínez. "A n-spheres based synthetic data generator for supervised classification". International Work Conference on Artificial Neural Networks (IWANN 2013). 12th-14th June. 2013. Tenerife, Spain. Lecture Notes in Computer Science, vol. 7902. pp. 613-621. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, R. Colmenarejo, J.C. Fernández and C. Hervás-Martínez. "Can machine learning techniques help to improve the Common Fisheries Policy?". International Work Conference on Artificial Neural Networks. 12-14 June. 2013. Puerto de la Cruz, Spain. Advances in Computational Intelligence, Part II, Lecture Notes in Computer Science, vol. 7903. pp. 278-286. [More] [Bibtex] [RIS] [MODS]
• P. Campoy-Muñoz, P.A. Gutiérrez and C. Hervás-Martínez. "Adressing Remitting Behavior Using an Ordinal Classification Approach". 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). J.M. Vicente, J.R. Sánchez, F. de la Paz López and F.J. Moreo eds. 10th-14th June. 2013. Mallorca, Spain. Lecture Notes in Computer Science, vol. 7931. pp. 326-335. [More] [Bibtex] [RIS] [MODS]
• C. Hervás-Martínez, M. Pérez-Ortiz, M. Cruz-Ramírez and P.A. Gutiérrez. "Asignación de órganos en trasplante hepático mediante regresión ordinal". 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). 17th-20th September. 2013. Madrid (Spain). pp. 1343-1352. [More] [Bibtex] [RIS] [MODS]
• J.A. Moreno, H.G. Mozo, C. Hervás-Martínez and C. Galán-Soldevilla. "Biometeorological and autoregressive indices for predicting olive pollen intensity", International Journal of Biometeorology, Vol. 57(2). 2013, pp. 307-316. [More] [Bibtex] [RIS] [MODS]
• J.A. Moreno, H.G. Mozo, C. Hervás-Martínez and C. Galán-Soldevilla. "Year clustering analysis for modelling olive flowering phenology", International Journal of Biometeorology, Vol. 57(4). 2013, pp. 545-555. [More] [Bibtex] [RIS] [MODS]

Year: 2012 (6)

• M. Cruz-Ramírez, C. Hervás-Martínez, J.C. Fernández, J. Briceño and M. de la Mata. "Multi-Objective Evolutionary Algorithm for Donor-Recipient Decision System in Liver Transplants", European Journal of Operational Research, Vol. 222(2), October, 2012, pp. 317-327. JCR (2012): 2.038 Position: 9/79 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE. [More] [Bibtex] [RIS] [MODS]
• M. de la Paz Marín, P. Campoy-Muñoz and C. Hervás-Martínez. "Evolutionary Neural Network Classifiers for Monitoring Research, Development and Innovation Performance in European Union Member States". Methods For Decision Making In An Uncertain Environment (Proceedings of the XVII SIGEF Congress). J. Gil-Aluja and A. Terceño eds. June. 2012. World Scientific Proceedings Series on Computer Engineering and Information Science, vol. 6. [More] [Bibtex] [RIS] [MODS]
• D. Laroze, D. Becerra-Alonso, J.A. Gallas and H. Pleiner. "Magnetization dynamics under a quasiperiodic magnetic field.", IEEE Transactions on Magnetics, Vol. 48. 2012, pp. 11. [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, C. Hervás-Martínez, F.J. Martínez-Estudillo and M. Carbonero-Ruz. "A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems", Information Sciences, Vol. 197. 2012, pp. 20-37. JCR (2012): 3.893 (category COMPUTER SCIENCE, INFORMATION SYSTEMS, position 6/132, Q1). [More] [Bibtex] [RIS] [MODS]
• M. Moreno, P.A. Gutiérrez and C. 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. JCR (2012): 0.562 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 94/115 Q4). [More] [Bibtex] [RIS] [MODS]
• F. Fernandez-Navarro, C. Hervás-Martínez, P.A. Gutiérrez, J.M. Peña-Barragán and F. 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. JCR (2012): 1.634 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 37/115 Q2). [More] [Bibtex] [RIS] [MODS]