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Año: 2012 (25)

M. de la Paz Marín, P. Campoy-Muñoz y 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 y A. Terceño eds. June. 2012. World Scientific Proceedings Series on Computer Engineering and Information Science, vol. 6. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Laroze, D. Becerra-Alonso, J.A. Gallas y H. Pleiner. "Magnetization dynamics under a quasiperiodic magnetic field.", IEEE Transactions on Magnetics, Vol. 48. 2012, pp. 11. [Más] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, C. Hervás-Martínez, F.J. Martínez-Estudillo y 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). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Moreno, P.A. Gutiérrez y 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). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, C. Hervás-Martínez, P.A. Gutiérrez, J.M. Peña-Barragán y F. López-Granados. "Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for Binary Classification", Neurocomputing, Vol. 75. 2012, pp. 123-134. JCR (2012): 1.634 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 37/115 Q2). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, P.A. Gutiérrez y C. Hervás-Martínez. "Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions". 7th International Conference on Hybrid Artificial Intelligence Systems (HAIS2012). 2012. pp. 319–330. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, M. Pérez-Ortiz, F. Fernandez-Navarro, J. Sánchez-Monedero y C. Hervás-Martínez. "An Experimental Study of Different Ordinal Regression Methods and Measures". 7th International Conference on Hybrid Artificial Intelligence Systems (HAIS2012). 2012. pp. 296-307. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Castaño-Méndez, F. Fernandez-Navarro, P.A. Gutiérrez y C. 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. JCR (2012): 1.854 (category OPERATIONS RESEARCH & MANAGEMENT SCIENCE, position 13/79 Q1). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
C. Hervás-Martínez, S. Salcedo-Sanz, P.A. Gutiérrez, E.G. García y 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. JCR (2012): 1.168 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 60/115 Q3). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.D. Redel-Macías, C. Hervás-Martínez, S. Pinzi, P.A. Gutiérrez, A.J. Cubero-Atienza y 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. JCR (2012): 3.357 (category ENGINEERING, CHEMICAL, position 11/133 Q1). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, H. Chen, P.A. Gutiérrez, C. Hervás-Martínez y X. Yao. "Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology". 7th International Conference on Hybrid Artificial Intelligence Systems (HAIS2012). 2012. pp. 308-318. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
Y. Muñoz-Ocaña y M. Torres-Jiménez. "Analysis of Official Development Aid for Basic Social Services in the 21st century", Estudios de Economía aplicada, Vol. 30(3). 2012, pp. 1023-1048. [Más] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, C. Hervás-Martínez, J. Briceño y M. de la Mata. "An ensemble approach for ordinal threshold models applied to liver transplantation". 2012 International Joint Conference on Neural Networks (IJCNN). 2012. pp. 2795-2802. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, C. Hervás-Martínez, R. Ruiz y J.C. Riquelme. "Evolutionary Generalized Radial Basis Function Neural Networks for improving prediction accuracy in gene classification using feature selection", Applied Soft Computing, Vol. 12(6). 2012, pp. 1787-1800. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, J. Sánchez-Monedero, C. Hervás-Martínez, M. Cruz-Ramírez, J.C. Fernández y F. Fernandez-Navarro. "Approaching system administration as a group project in computer engineering higher education". Third International Conference on EUropean Transnational Education (ICEUTE'12). 5-7 September. 2012. Ostrava, Czech Republic. Advances in Intelligent Systems and Computing, vol. 189. pp. 331-340. [Más] [Bibtex] [RIS] [MODS]
D. Becerra-Alonso, M. Carbonero-Ruz, F.J. Martínez-Estudillo y 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 y C.S. Leung eds. 2012. Lecture Notes In Computer Science, vol. 7665. pp. 217-227. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez y 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 y N.M. Ruiz eds. Universidad de Granada. 2012. pp. 13-28. [Más] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, J.C. Fernández, A. Valero, P.A. Gutiérrez y 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. [Más] [Bibtex] [RIS] [MODS]
M. de la Paz Marín, P. Campoy y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
T. Montero-Romero, M.C. López-Martín, D. Becerra-Alonso y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, L. García-Hernández, L. Salas-Morera, A. Arauzo-Azofra y 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. [Más] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, C. Hervás-Martínez, L. García-Hernández, L. Salas-Morera y 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. [Más] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, A. Arauzo-Azofra, C. Hervás-Martínez, L. García-Hernández y 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. [Más] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, M. Cruz-Ramírez, J.C. Fernández y 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. [Más] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, C. Hervás-Martínez, M. Jurado-Expósito y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2011 (32)

J. Sánchez-Monedero, M. Carbonero-Ruz, D. Becerra-Alonso, F.J. Martínez-Estudillo, P.A. Gutiérrez y 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. [Más] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, C. Hervás-Martínez, J. Sánchez-Monedero y 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. [Más] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, S. Salcedo-Sanz, C. Hervás-Martínez, L. Carro-Calvo, J. Sánchez-Monedero y 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. [Más] [Bibtex] [RIS] [MODS]
M. de la Paz Marín y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. de Campos Ruíz, G. Pardo-Castellote, G. Napoli, F. Crespo-Sanchez y J. Sánchez-Monedero. "High-level Programming of DDS Systems". Workshop on Real-time, Embedded and Enterprise-Scale Time-Critical Systems. March. 2011. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. García-Aranda, J. Sánchez-Monedero y 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. [Más] [Bibtex] [RIS] [MODS]
J.C. Fernández, C. Hervás-Martínez, F.J. Martínez-Estudillo y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, C. Hervás-Martínez y 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). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, P.A. Gutiérrez, F. Fernandez-Navarro y 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). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez y C. Hervás-Martínez. "Hybrid Artificial Neural Networks: Models, Algorithms and Data". 11th international conference on Artificial neural networks IWANN'11. 2011. pp. 177-184. [Más] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, C. Hervás-Martínez y 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). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Castaño-Méndez, F. Fernandez-Navarro, C. Hervás-Martínez y 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). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, C. Hervás-Martínez, J. Sánchez-Monedero y 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). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, C. Hervás-Martínez, P.A. Gutiérrez y 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). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Castaño-Méndez, F. Fernandez-Navarro, P.A. Gutiérrez y 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. [Más] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, M. Baena-García, R. Morales-Bueno y C. Hervás-Martínez. "Permanent Disability Classification using Hybrid Neuro-Logistic Regression Models". 2011 IEEE Workshop on Hybrid Intelligent Models and Applications (IEEE Symposium Series on Computational Intelligence) (HIMA (SSCI)). 2011. pp. 46-53. [Más] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, C. García-Alonso, L.S. Carulla, J.A. Pérez y C. Hervás-Martínez. "Ordinal classification of depression spatial hot-spots of prevalence". 11th International Conference on Intelligent Systems Design andApplications (ISDA 2011). 2011. pp. 1170-1175. [Más] [Bibtex] [RIS] [MODS]
M.D. Redel-Macías, P.A. Gutiérrez, A. Cubero-Atienza y C. Hervás-Martínez. "Sound source identification in vehicles using a combined Linear-Evolutionary Product Unit Neural Network model". 2011 International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO11). Springer ed. 2011. pp. 379-386. [Más] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, C. Hervás-Martínez, M. Cruz-Ramírez, P.A. Gutiérrez y 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. JCR (2011): 2.612 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 13/111 Q1). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, C. Hervás-Martínez, P.A. Gutiérrez, J. Briceño y M. de la Mata. "Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation". 11th international conference on Artificial neural networks conference (IWANN'11). 2011. Advances in Computational Intelligence, vol. II. pp. 129-136. [Más] [Bibtex] [RIS] [MODS]
J. Briceño, M. Cruz-Ramírez, M. Prieto, M. Navasa, J. Ortiz, R. Orti, M.A. Gómez, A. Otero, S. Tome, E. Varo, G. Clemente, R. Bañares, R. Bárcena, V. Cuervas, G. Solórzano, C. Hervás-Martínez y M. de la Mata. "Donor-recipient matching in liver transplantation based on a rule-system built on a multiobjective artificial neural network". Congress of ILTS, ELITA, and LICAGE (ILTS2011). 2011. pp. S90-S91. [Más] [Bibtex] [RIS] [MODS]
J. Briceño, M. Cruz-Ramírez, M. Prieto, M. Navasa, J. Ortiz, R. Orti, M.A. Gómez, A. Otero, S. Tome, E. Varo, G. Clemente, R. Bañares, R. Bárcena, V. Cuervas, G. Solórzano, C. Hervás-Martínez y M. de la Mata. "Donor-recipient matching in liver transplantation based on a rule-system built on a multiobjective artificial neural network". 15th Congress of the European Society for Organ Transplantation (ESOT2011). 2011. pp. 110-110. [Más] [Bibtex] [RIS] [MODS]
J. Briceño, M. Cruz-Ramírez, M. Prieto, M. Navasa, J. Ortiz, R. Orti, M.A. Gómez, A. Otero, S. Tome, E. Varo, G. Clemente, R. Bañares, R. Bárcena, V. Cuervas, G. Solórzano, C. Hervás-Martínez y M. la Mata. "Donor-recipient matching in liver transplantation based on a rule-system built on a multiobjective artificial neural network". American Transplant Congress (ATC2011). 2011. pp. 423-423. [Más] [Bibtex] [RIS] [MODS]
J. Briceño, M. Cruz-Ramírez, M. Prieto, M. Navasa, J.O. Urbina, R. Ortiz, M.A. Gómez-Bravo, A. Otero, E. Varo, S. Tomé, G. Clemente, R.B. Nares, R. Bárcena, V. Cuervas-Mons, G. Solórzano, C. Vinaixa, A. Rubin, J. Colmenero, A. Valdivieso, C. Hervás-Martínez y M.D. Mata. "Aplicación de redes neuronales artificiales multiobjetivo en el emparejamiento donante-receptor en trasplante hepático". SETH2011 - congreso sociedad española de transplante hepático. 2011. [Más] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro. "Clasificación balanceada y no balanceada mediante redes neuronales evolutivas de funciones de base radial generalziadas y q-gaussianas". César Hervás Martínez. 2011. [Más] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, J. Povedano-Molina, J.M. Lopez-Vega y J.M. Lopez-Soler. "Bloom Filter Based Discovery Protocol for DDS Middleware", Journal of Parallel and Distributed Computing, Vol. 71(10). 2011. [Más] [Bibtex] [RIS] [MODS]
A. Tallón-Ballesteros y C. Hervás-Martínez. "A two-stage algorithm in evolutionary product unit neural networks for classification", Expert Systems with Applications, Vol. 38(1). 2011, pp. 743-754. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, J.C. Fernández, F. Fernandez-Navarro, J. Sánchez-Monedero y C. Hervás-Martínez. "Selecting the best Artificial Neural Network model from a Multi-Objective Differential Evolution Pareto front". Proceedings of the IEEE Symposium on Differential Evolution (SDE 2011). 11-15 April. 2011. Paris, France. pp. 96-103. [Más] [Bibtex] [RIS] [MODS]
M.D. Redel-Macías, F. Fernandez-Navarro, A.C. Atienza y C. Hervás-Martínez. "Identification of sound for Pass-by Noise test in vehicles using Generalized Gaussian Radial Basis Function Neural Networks". Proceedings of the 15th Online World Conference on Soft Computing in Industrial Applications (WSC15). 2011. pp. Online. [Más] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, J.C. Fernández, F. Fernandez-Navarro, J. Briceño, M. de la Mata y C. Hervás-Martínez. "Memetic Evolutionary Multi-Objective Neural Network Classifier to Predict Graft Survival in Liver Transplant Patients". Proceedings of the 13th annual conference companion on Genetic and evolutionary computation (GECCO2011). 12-16 July. 2011. Dublin, Ireland. pp. 479-486. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, C. Hervás-Martínez, C. García-Alonso y M. Torres-Jiménez. "Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity", Expert Systems with Applications, Vol. 38(10). 2011, pp. 12483-12490. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero. "El software libre y la tortilla de patatas". Revista digital del I.E.S. "La Fuensanta", número 3,Córdoba, España.. 2011. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2010 (32)

M. Cruz-Ramírez, J. Sánchez-Monedero, F. Fernandez-Navarro, J.C. Fernández y C. Hervás-Martínez. "Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology", Evolutionary Intelligence, Vol. 3(3-4), December, 2010, pp. 187-199. SJR (2010): 0.607 Position: (Q2) Category: ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Becerra-Alonso. Deterministic Chaos in Malkus' Waterwheel: A simple dynamical system on the verge of low-dimensional chaotic behaviour., LAP Lambert Academic Publising, 2010. [Más] [Bibtex] [RIS] [MODS]
J.M. Lopez-Vega, J. Povedano-Molina, J. Sánchez-Monedero y J.M. Lopez-Soler. "P}olíticas de QoS en una Plataforma de Trabajo Colaborativo sobre Middleware {DDS". XIII Jornadas de Tiempo Real. February. 2010. [Más] [Bibtex] [RIS] [MODS]
D. Becerra-Alonso y V. Tereshko. "Chaotic Systems: Theory and Applications.". W.S. Company ed. C. Skiadas. 2010. [Más] [Bibtex] [RIS] [MODS]
D. Becerra-Alonso. "Deterministic Chaos in Malkus' Waterwheel". Valery Tereshko. Colin Fyfe. 2010. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.C. Fernández. "Algoritmos de aprendizaje bioinspirados multi-objetivo para el diseño de modelos de redes neuronales artificiales en clasificación". C. Hervás-Martínez, F. J. Martinez-Estudillo. 2010. [Más] [Bibtex] [RIS] [MODS]
J. Povedano-Molina, J.M. Lopez-Vega, J. Sánchez-Monedero y J.M. Lopez-Soler. "Instant Messaging Based Interface for Data Distribution Service". XIII Jornadas de Tiempo Real. 2010. [Más] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, C. Hervás-Martínez y M. Lozano. "Designing Multilayer Perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm", Soft Computing, Vol. 14(6). 2010, pp. 599-613. JCR (2010): 1.512 (category COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS, position 41/97 Q2). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, C. Hervás-Martínez, F.J. Martínez-Estudillo, M. Carbonero-Ruz, M.C. Moreno y M. Cruz-Ramírez. "Evolutionary Learning using a Sensitivity-Accuracy Approach for Classification". 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS2010). 2010. pp. 288-295. [Más] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, P.A. Gutiérrez, C. Hervás-Martínez, M. Cruz-Ramírez y M. Carbonero-Ruz. "Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification". 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS2010). 2010. pp. 280-287. [Más] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, C. Hervás-Martínez, P.A. Gutiérrez, R. Ruiz y J.C. Riquelme. "Evolutionary q-Gaussian Radial Basis Functions for improving prediction accuracy of gene classification using feature selection". 20th International Conference on Artificial Neural Networks (ICANN10). 2010. pp. 327-336. [Más] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, C. Hervás-Martínez, P.A. Gutiérrez, M. Cruz-Ramírez y J. Sánchez-Monedero. "Aprendizaje hibrido de redes neuronales q-Gaussianas en clasificación binaria". VII Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB2010). 2010. pp. 227-234. [Más] [Bibtex] [RIS] [MODS]
A. Castaño-Méndez, C. Hervás-Martínez, P.A. Gutiérrez, F. Fernandez-Navarro y M.M. García. "Classification by Evolutionary Generalized Radial Basis Functions", International Journal of Hybrid Intelligent Systems, Vol. 7(1). 2010, pp. 1-10. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
C. Hervás-Martínez, F.J. Martínez-Estudillo, M. Torres-Jiménez, C. García-Alonso, M. Carbonero-Ruz, P.A. Gutiérrez, J.C. Fernández, A.C. Martínez-Estudillo, S. Salcedo-Sanz, F. Fernandez-Navarro, J. Sánchez-Monedero y M. Cruz-Ramírez. "GRUPO DE INVESTIGACIÓN TIC-148". 2010. pp. 220-220. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.C. Fernández, F.J. Martínez-Estudillo, C. Hervás-Martínez y P.A. 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. JCR (2010): 2.633 Position: 17/108 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, C. Hervás-Martínez, P.A. Gutiérrez, M. Carbonero-Ruz, M.C. Moreno y M. 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. JCR (2010): 0.511 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 94/108 Q4). [Más] [Bibtex] [RIS] [MODS]
C. García-Alonso, L. Salvador-Carulla, M.A. Negrín-Hernández y B. Moreno-Küstner. "Development of a new spatial analysis tool in Mental Health: Identification of highly autocorrelated areas (hot-spots) of schizophrenia using a Multiobjective Evolutionary Algorithm model (MOEA/HS)", EPIDEMIOLOGIA E PSICHIATRIA SOCIALE. 2010. [Más] [Bibtex] [RIS] [MODS]
C. Hervás-Martínez, P.A. Gutiérrez, S. Salcedo-Sanz, E.O. García, A.P. Figueras y L. Prieto. "Predicción a Corto Plazo de la Velocidad del Viento en Parques Eólicos Mediante Redes Evolutivas de Unidades Producto". VII Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB2010). 2010. pp. 235-242. [Más] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, A. Valero, C. Hervás-Martínez, P.A. Gutiérrez, R.M. Gimeno y G.Z. 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. JCR (2010): 3.143 (category FOOD SCIENCE & TECHNOLOGY, position 2/128 Q1). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, S. Salcedo-Sanz, M.J. Vargas, A. Sanchís, J.A. Figueras, F. Fernandez-Navarro y C. Hervás-Martínez. "Generalized logistic regression models using neural network basis functions applied to the detection of banking crises". 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE2010). 2010. pp. 1-10. [Más] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, M.J. Segovia-Vargas, S. Salcedo-Sanz, C. Hervás-Martínez, A. Sanchís, J.A. Figueras y F. 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. JCR (2010): 3.467 (category OPERATIONS RESEARCH & MANAGEMENT SCIENCE, position 2/75 Q1). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
C. García-Alonso, M. Torres-Jiménez y C. Hervás-Martínez. "Income prediction in the agrarian sector using product unit neural networks", European Journal of Operational Research, Vol. 204(2). 2010, pp. 355-365. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
C. Hervás-Martínez, P.A. Gutiérrez, J. Peña-Barragán, M. Jurado-Expósito y 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. JCR (2010): 1.926 (category OPERATIONS RESEARCH & MANAGEMENT SCIENCE, position 15/75, Q1). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, M. Cruz-Ramírez, F. Fernandez-Navarro, J.C. Fernández, P.A. Gutiérrez y C. Hervás-Martínez. "On the suitability of Extreme Learning Machine for gene classification using feature selection". 10th International Conference on Intelligent Systems Design and Applications (ISDA2010). A.E. Hassanien, A. Abraham, F. Marcelloni, H. Hagras, M. Antonelli y T.-P. Hong eds. 29 Nov-1 Dec. 2010. Cairo, Egypt. pp. 507-512. [Más] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, P.A. Gutiérrez, C. Hervás-Martínez, M. Cruz-Ramírez, J.C. Fernández y F. Fernandez-Navarro. "Methodology for the recognition and diagnosis of students performance by discriminant analisys and artificial neural networks". 1st International Conference on EUropean Transnational Education (ICEUTE2010). 24 September. 2010. Burgos, Spain. pp. 107-115. [Más] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, C. Hervás-Martínez, J.C. Fernández y J. Sánchez-Monedero. "Learning Artificial Neural Networks Multiclassifiers by Evolutionary Multiobjective Differential Evolution Guided by Statistical Distributions". International Joint Conference on Neural Networks (IJCNN2010). 18-23 July. 2010. Barcelona, Spain. pp. 2540-2547. [Más] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, C. Hervás-Martínez y M.T. Lamata. "E}studio de un Modelo de Ensemble formado por los Extremos del Frente de Pareto en Algoritmos Evolutivos Multi-objetivo Utilizando la Técnica {TOPSIS". VII Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB2010). 2010. pp. 219-226. [Más] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, J.C. Fernández, J. Sánchez-Monedero, F. Fernandez-Navarro, C. Hervás-Martínez, P.A. Gutiérrez y M.T. Lamata. "Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers". Proceedings of the 10th International Conference on Intelligent Systems Design and Applications (ISDA2010). A.E. Hassanien, A. Abraham, F. Marcelloni, H. Hagras, M. Antonelli y T.-P. Hong eds. 29 November-1 Decemb. 2010. Cairo, Egypt. pp. 513-518. [Más] [Bibtex] [RIS] [MODS]
C. García-Alonso, J.A. Salinas-Pérez y L. Salvador-Carulla. "Spatial Identification of Hot and Cold Spots for the Prevalence of Schizophrenia and Depression". Proceedings of the 2010 International Conference on Operations Research. 2010. pp. 188-189. [Más] [Bibtex] [RIS] [MODS]
C. García-Alonso, J.A. Salinas-Pérez y L. Salvador-Carulla. "Spatial Analysis of Schizophrenia Prevalence Using a Multiobjective Evolutionary Algorithm". Proceedings of the 2010 INFORMS International Conference. 2010. [Más] [Bibtex] [RIS] [MODS]
K. Gilbert, C. García-Alonso y L. Salvador-Carulla. "Integrating clinicians, knowledge and data: expert-based cooperative analysis in healthcare decision support", Health Research Policy and Systems, Vol. 8(28). 2010. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, J. Sánchez-Monedero, F. Fernandez-Navarro, J.C. Fernández y C. Hervás-Martínez. "Hybrid Pareto Differential Evolutionary Artificial Neural Networks to determined growth multi-classes in Predictive Microbiology". 23rd International Conference on Industrial and Engineering {&} Other Applications of Applied Intelligent Systems (IEA-AIE2010). 1-4 June. 2010. Cordoba, Spain. Trends in Applied Intelligent Systems, Lecture Notes in Computer Science, vol. 6098. pp. 646-655. [Más] [Bibtex] [RIS] [MODS]

Año: 2009 (11)

J. Alcala-Fdez, L. Sánchez, S. García, M.J. Jesus, S. Ventura, J.M. Garrell, J. Otero, C. Romero, J. Bacardit, V.M. Rivas, J.C. Fernández y F. Herrera. "Keel: A software tool to assess evolutionary algorithms for data mining problems", Soft Computing, Vol. 13(3), February, 2009, pp. 307-318. JCR (2009): 1.328 Position: 51/103 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, P.A. Gutiérrez y 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. [Más] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, C. Hervás-Martínez, M. Carbonero-Ruz y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Castaño-Méndez, F. Fernandez-Navarro, C. Hervás-Martínez, M.M. García y 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. [Más] [Bibtex] [RIS] [MODS]
C. García-Alonso, J. Guardiola y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Torres-Jiménez, C. Hervás-Martínez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, C. Hervás-Martínez, J.C. Fernández, M. Jurado-Expósito, J. Peña-Barragán y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez. "Nuevos Modelos de Redes Neuronales Evolutivas y Regresión Logística Generalizada utilizando Funciones de Base. Aplicaciones". César Hervás Martínez. 2009. [Más] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, P.A. Gutiérrez y 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. [Más] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, C. Hervás-Martínez, F.J. Martínez-Estudillo y 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. [Más] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, P.A. Gutiérrez, C. Hervás-Martínez y 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. [Más] [Bibtex] [RIS] [MODS]

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