Year: 2012 (10)

• D. Becerra-Alonso, M. Carbonero-Ruz, F.J. Martínez-Estudillo and A.C. Martínez-Estudillo. "Evolutionary Extreme Learning Machine for Ordinal Regression". Proceedings of the 19th International Conference on Neural Information Processing (ICONIP 2012). T. Huang, Z. Zeng, C. Li and C.S. Leung eds. 2012. Lecture Notes In Computer Science, vol. 7665. pp. 217-227. [More] [Bibtex] [RIS] [MODS]
• M. Cruz-Ramírez and C. Hervás-Martínez. "Memetic Multi-Objective Algorithm based on Differential Evolution to Design Artificial Neural Networks: Applications (New trends on intelligent systems and soft computing)". J.C. Talavera, A.G. Muñoz and N.M. Ruiz eds. Universidad de Granada. 2012. pp. 13-28. [More] [Bibtex] [RIS] [MODS]
• M. Cruz-Ramírez, J.C. Fernández, A. Valero, P.A. Gutiérrez and C. Hervás-Martínez. "Multiobjective Pareto Ordinal Classification for Predictive Microbiology". 7th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO'12). 5-7 September. 2012. Ostrava, Czech Republic. Advances in Intelligent Systems and Computing, vol. 188. pp. 153-162. [More] [Bibtex] [RIS] [MODS]
• M. de la Paz Marín, P. Campoy and C. Hervás-Martínez. "Non-linear multiclassifier model based on Artificial Intelligence to predict Research and Development Performance in European Countries", Technological Forecasting {&} Social Change, Vol. 79(9). 2012, pp. 1731-1745. [More] [Bibtex] [RIS] [MODS]
• T. Montero-Romero, M.C. López-Martín, D. Becerra-Alonso and F.J. Martínez-Estudillo. "Extreme Learning Machine to Analyze the Level of Default in Spanish Deposit Institutions", Revista de Métodos Cuantitativos para la Economía y la Empresa, Vol. 13. 2012, pp. 3-23. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, A. Arauzo-Azofra, C. Hervás-Martínez, L. García-Hernández and L. Salas-Morera. "A system learning user preferences for multiobjective optimization of facility layouts". Proceedings on the Int. Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO'12). 2012. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, L. García-Hernández, L. Salas-Morera, A. Arauzo-Azofra and C. Hervás-Martínez. "An ordinal regression approach for the Unequal Area Facility Layout Problem". Proceedings on the Int. Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO'12). 2012. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, C. Hervás-Martínez, L. García-Hernández, L. Salas-Morera and A. Arauzo-Azofra. "Técnicas de clasificación ordinal aplicadas a un problema de distribución en planta". VIII congreso español sobre metaheurísticas, algoritmos evolutivos y bioinspirados. 2012. pp. 227-233. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, M. Cruz-Ramírez, J.C. Fernández and C. Hervás-Martínez. "Hybrid Multi-objective Machine Learning Classification in Liver Transplantation". 7th International Conference on Hybrid Artificial Intelligence Systems (HAIS2012). 28-30 March. 2012. Salamanca, Spain. Hybrid Artificial Intelligent Systems, Lecture Notes in Computer Science, vol. 7208. pp. 397-408. [More] [Bibtex] [RIS] [MODS]
• M. Cruz-Ramírez, C. Hervás-Martínez, M. Jurado-Expósito and F. López-Granados. "A multi-objective neural network based method for cover crop identification from remote sensed data", Expert Systems with Applications, Vol. 11(39). 2012, pp. 10038–10048. [More] [Bibtex] [RIS] [MODS]

Year: 2011 (15)

• M. Cruz-Ramírez, C. Hervás-Martínez, J. Sánchez-Monedero and P.A. Gutiérrez. "A Preliminary Study of Ordinal Metrics to Guide a Multi-Objective Evolutionary Algorithm". 11th International Conference on Intelligent Systems Design andApplications (ISDA 2011). nov. 2011. pp. 1176-1181. [More] [Bibtex] [RIS] [MODS]
• J. Sánchez-Monedero, M. Carbonero-Ruz, D. Becerra-Alonso, F.J. Martínez-Estudillo, P.A. Gutiérrez and C. Hervás-Martínez. "Numerical variable reconstruction from ordinal categories based on probability distributions". 11th International Conference on Intelligent Systems Design andApplications (ISDA 2011). nov. 2011. pp. 1182-1187. [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, S. Salcedo-Sanz, C. Hervás-Martínez, L. Carro-Calvo, J. Sánchez-Monedero and L. Prieto. "Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns". 11th International Conference on Intelligent Systems Design andApplications (ISDA 2011). nov. 2011. pp. 1265-1270. [More] [Bibtex] [RIS] [MODS]
• M. de la Paz Marín and C. García-Alonso. "Evaluation of R{&}D public policy in the European Union: an Expert Knowledge-based and two-stage DEA Approach". Proceedings of the 9th International Conference on Data Envelopment Analysis (DEA2011). August. 2011. University of Makedonia. [More] [Bibtex] [RIS] [MODS]
• F. García-Aranda, J. Sánchez-Monedero and J.M. López-Soler. "An extensible DDS-based monitoring and intrusion detection system". Workshop on Real-time, Embedded and Enterprise-Scale Time-Critical Systems. March. 2011. [More] [Bibtex] [RIS] [MODS]
• A. de Campos Ruíz, G. Pardo-Castellote, G. Napoli, F. Crespo-Sanchez and J. Sánchez-Monedero. "High-level Programming of DDS Systems". Workshop on Real-time, Embedded and Enterprise-Scale Time-Critical Systems. March. 2011. [More] [Bibtex] [RIS] [MODS]
• J.C. Fernández, C. Hervás-Martínez, F.J. Martínez-Estudillo and P.A. Gutiérrez. "Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology", Applied Soft Computing, Vol. 11(1), January, 2011, pp. 534-550. JCR (2011): 2.612 Position: 13/111 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, C. Hervás-Martínez and F.J. 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. JCR (2011): 2.952 (category COMPUTER SCIENCE, THEORY & METHODS, position 4/99 Q1). [More] [Bibtex] [RIS] [MODS]
• J. Sánchez-Monedero, P.A. Gutiérrez, F. Fernandez-Navarro and C. Hervás-Martínez. "Weighting efficient Accuracy and Minimum Sensitivity for evolving multi-class classifiers", Neural Processing Letters, Vol. 34(2). 2011, pp. 1370-4621. JCR (2011): 0.750 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 76/111 Q3). [More] [Bibtex] [RIS] [MODS]
• F. Fernandez-Navarro, C. Hervás-Martínez and P.A. Gutiérrez. "A dynamic over-sampling procedure based on sensitivity for multi-class problems", Pattern Recognition, Vol. 44. 2011, pp. 1821–1833. JCR (2011): 2.292 (category ENGINEERING, ELECTRICAL & ELECTRONIC, position 35/245 Q1). [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez and C. Hervás-Martínez. "Hybrid Artificial Neural Networks: Models, Algorithms and Data". 11th international conference on Artificial neural networks IWANN'11. 2011. pp. 177-184. [More] [Bibtex] [RIS] [MODS]
• F. Fernandez-Navarro, C. Hervás-Martínez, J. Sánchez-Monedero and P.A. 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. JCR (2011): 1.580 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 39/111 Q2). [More] [Bibtex] [RIS] [MODS]
• A. Castaño-Méndez, F. Fernandez-Navarro, C. Hervás-Martínez and P.A. 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. JCR (2011): 0.750 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 76/111 Q3). [More] [Bibtex] [RIS] [MODS]
• A. Castaño-Méndez, F. Fernandez-Navarro, P.A. Gutiérrez and C. Hervás-Martínez. "Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification". 2011 International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO2011). S. Verlag ed. 2011. pp. 263-270. [More] [Bibtex] [RIS] [MODS]
• F. Fernandez-Navarro, C. Hervás-Martínez, P.A. Gutiérrez and M. Carbonero-Ruz. "Evolutionary q-Gaussian Radial Basis Functions Neural Networks for Multi-Classification", Neural Networks, Vol. 24. 2011, pp. 779-784. JCR (2011): 2.182 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 23/111, Q1). [More] [Bibtex] [RIS] [MODS]