Year: 2013 (10)

• 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 (15)

• 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]
• M. Dorado-Moreno, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, M. Pérez-Ortiz, F. Fernandez-Navarro, J. Sánchez-Monedero and 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. [More] [Bibtex] [RIS] [MODS]
• A. Castaño-Méndez, F. Fernandez-Navarro, P.A. Gutiérrez and 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). [More] [Bibtex] [RIS] [MODS]
• C. Hervás-Martínez, S. Salcedo-Sanz, P.A. Gutiérrez, E.G. García and 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). [More] [Bibtex] [RIS] [MODS]
• M.D. Redel-Macías, C. Hervás-Martínez, S. Pinzi, P.A. Gutiérrez, A.J. Cubero-Atienza and 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). [More] [Bibtex] [RIS] [MODS]
• F. Fernandez-Navarro, H. Chen, P.A. Gutiérrez, C. Hervás-Martínez and 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. [More] [Bibtex] [RIS] [MODS]
• Y. Muñoz-Ocaña and 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. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, C. Hervás-Martínez, J. Briceño and 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. [More] [Bibtex] [RIS] [MODS]
• F. Fernandez-Navarro, C. Hervás-Martínez, R. Ruiz and 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. [More] [Bibtex] [RIS] [MODS]