Year: 2009 (19)

• P.A. Gutiérrez. "Nuevos Modelos de Redes Neuronales Evolutivas y Regresión Logística Generalizada utilizando Funciones de Base. Aplicaciones". César Hervás Martínez. 2009. [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, C. Hervás-Martínez, F.J. Martínez-Estudillo and J.C. Fernández. "MultiLogistic Regression using Initial and Radial Basis Function covariates". IEEE International Joint Conference on Neural Networks (IJCNN2009). 14-19 June. 2009. Atlanta, United States. pp. 1067-1074. [More] [Bibtex] [RIS] [MODS]
• F. Fernandez-Navarro, P.A. Gutiérrez and M. Cruz-Ramírez. "Técnica de Hibridación de un Algoritmo Evolutivo y una Búsqueda Local basada en Análisis Cluster para la Optimización de Redes Neuronales RBF". VI Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB09). Febrero. 2009. pp. 317-324. [More] [Bibtex] [RIS] [MODS]
• F. Fernandez-Navarro, P.A. Gutiérrez, C. Hervás-Martínez and J.C. Fernández. "A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms". Third International Work-Conference on the Interplay Between Natural and Artificial Computation (IWINAC09). 22-26 June. 2009. Santiago de Compostela, Spain. Methods and Models in Artificial and Natural Computation, Lecture Notes in Computer Science, vol. 5601. pp. 245-254. [More] [Bibtex] [RIS] [MODS]
• F. Fernandez-Navarro, P.A. Gutiérrez and C. Hervás-Martínez. "A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks". 2009 Ninth International Conference on Intelligent Systems Design and Applications (ISDA09). 2009. pp. 187-192. [More] [Bibtex] [RIS] [MODS]
• A. Castaño-Méndez, F. Fernandez-Navarro, C. Hervás-Martínez, M.M. García and P.A. Gutiérrez. "Classification by Evolutionary Generalized Radial Basis Functions". 2009 Ninth International Conference on Intelligent Systems Design and Applications (ISDA09). 2009. pp. 203-208. [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, C. Hervás-Martínez, M. Carbonero-Ruz and J.C. Fernández. "Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks", Neurocomputing, Vol. 72(13-15). 2009, pp. 2731-2742. JCR (2009): 1.440 Position: 47/103 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• J.C. Fernández, C. Hervás-Martínez, F.J. Martínez-Estudillo and M. Cruz-Ramírez. "Design of Artificial Neural Networks using a Memetic Pareto Evolutionary Algorithm using as objectives Entropy versus Variation Coefficient". Ninth International Conference on Intelligent Systems Design and Applications (ISDA09). 30 November-2 Decem. 2009. Pisa, Italy. pp. 408-413. [More] [Bibtex] [RIS] [MODS]
• J.C. Fernández, M. Carbonero-Ruz, P.A. Gutiérrez and C. Hervás-Martínez. "Ensembles de redes neuronales construidos mediante algoritmos híbridos multiobjetivo para optimizar la precisión y la sensitividad". VI Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB09). 11-13 Febrero. 2009. Málaga, España. pp. 309-316. [More] [Bibtex] [RIS] [MODS]
• J.C. Fernández, C. Hervás-Martínez, F.J. Martínez-Estudillo, P.A. Gutiérrez and M. Cruz-Ramírez. "Memetic Pareto Differential Evolution for designing Artificial Neural Networks in Multiclassification Problems using Cross-Entropy versus Sensitivity". 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS09). 10-12 June. 2009. Salamanca, Spain. Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, vol. 5572. pp. 433-441. [More] [Bibtex] [RIS] [MODS]
• C. Hervás-Martínez, P.A. Gutiérrez, J.C. Fernández, S. Salcedo-Sanz, A.P. Figueras, A.P. Bellido and L. Prieto. "Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction". Ninth International Conference on Intelligent Systems Design and Applications (ISDA09). 30 Nov-2 Dec. 2009. Pisa, Italy. pp. 193-198. [More] [Bibtex] [RIS] [MODS]
• C. García-Alonso, J. Guardiola and C. Hervás-Martínez. "Logistic evolutionary product-unit neural networks: Innovation capacity of poor Guatemalan households", European Journal of Operational Research, Vol. 195(2). 2009, pp. 543-551. [More] [Bibtex] [RIS] [MODS]
• M. Torres-Jiménez, C. Hervás-Martínez and C. García-Alonso. "Multinomial logistic regression and product unit neural network models: Application of a new hybrid methodology for solving a classification problem in the livestock sector", Expert Systems with Applications, Vol. 36(10). 2009, pp. 12225-12235. [More] [Bibtex] [RIS] [MODS]
• E. Arenas-Arroyo, C. García-Alonso and G.M. Alcalá-Pérez. "Generating Artificial Macroeconomic Frameworks: An Expert-Driven Approach Based on Artificial Intelligence". Proceedings of the 23rd European Conference on Operational Research. 2009. pp. 226-226. [More] [Bibtex] [RIS] [MODS]
• C. García-Alonso, E. Arenas-Arroyo and G.M. Pérez-Alcalá. "Large Scale Knowledge-Based Simulation Models: An Approximation to the North-South Remittances Modell". Proceedings of the 2009 Winter Simulation Conference. 2009. pp. 3077-3087. [More] [Bibtex] [RIS] [MODS]
• C. García-Alonso, M. Torres-Jiménez and C. Hervás-Martínez. "Expert-Oriented Monte-Carlo DEA: Technical Efficiency Assessment of the Agrarian Sector". Proceedings of the 23rd European Conference on Operational Research. 2009. pp. 242-242. [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, C. Hervás-Martínez, J.C. Fernández, M. Jurado-Expósito, J. Peña-Barragán and 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. JCR (2009): 0.475 Position: 93/103 (Q4) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, C. Hervás-Martínez, J.C. Fernández, J. Peña-Barragán, M.J. Expósito and F.L. Granados. "Hibridación de Algoritmos de Aprendizaje para Modelos Neurologísticos aplicados a la Clasificación de Cubiertas Vegetales". VI Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB09). 11-13 Febrero. 2009. Málaga, España. pp. 325-332. [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, C. Hervás-Martínez, J.C. Fernández and F.L. Granados. "Hybrid multilogistic regression by means of evolutionary radial basis functions: application to precision agriculture". 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS09). 10-12 June. 2009. Salamanca, Spain. Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, vol. 5572. pp. 244-251. [More] [Bibtex] [RIS] [MODS]

Year: 2008 (6)

• J.M. Lopez-Vega, J. Sánchez-Monedero, J. Povedano-Molina and J.M. Lopez-Soler. "QoS Policies for Audio/Video Distribution Over DDS Middleware". Workshop on Distributed Object Computing for Real-time and Embedded Systems. July. 2008. [More] [Bibtex] [RIS] [MODS]
• J. Sánchez-Monedero, J.M. Lopez-Soler, J. Povedano-Molina and J.M. Lopez-Vega. "An XML Based Approach to the Configuration and Deployment of DDS Applications". Workshop on Distributed Object Computing for Real-time and Embedded Systems, Washington, DC, USA. 2008. [More] [Bibtex] [RIS] [MODS]
• F.J. Martínez-Estudillo, P.A. Gutiérrez, C. Hervás-Martínez and J.C. Fernández. "Evolutionary Learning by a Sensitivity-Accuracy Approach for Multi-class Problems". IEEE Congress on Evolutionary Computation (CEC08). 1-6 June. 2008. Hong Kong, China. pp. 1581-1588. [More] [Bibtex] [RIS] [MODS]
• C. Hervás-Martínez, F.J. Martínez-Estudillo and M. Carbonero-Ruz. "Multilogistic Regression by means of Evolutionary Product-Unit Neural Networks", Neural Networks, Vol. 21(7). 2008, pp. 951-961. [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, C. Hervás-Martínez, F.J. Martínez-Estudillo and M. Carbonero-Ruz. "Multilogistic Regression by Product Units". Information Science Reference. 2008. pp. 1136-1144. [More] [Bibtex] [RIS] [MODS]
• F.J. Martínez-Estudillo, C. Hervás-Martínez, P.A. Gutiérrez and A.C. Martínez-Estudillo. "Evolutionary Product-Unit Neural Networks Classifiers", Neurocomputing, Vol. 72(1-3). 2008, pp. 548-561. JCR (2008): 1.234 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 53/94, Q2). [More] [Bibtex] [RIS] [MODS]