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Año: 2015 (16)

P. Gomez-Rey, E. Barbera-Gregori y F. Fernandez-Navarro. "Operalizionalizing the capability approach in online learning". ICERI 2015: 8th annual International Conference of Education, Research and Innovation. 2015. pp. 8200–8207. [Más] [Bibtex] [RIS] [MODS]
P. Gómez-Rey, E. Barbera-Gregori y F. Fernandez-Navarro. "Measuring quality in online programs using learners' perceptions". ICDE 2015: The 26th ICDE World Conference. 2015. [Más] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, A. Riccardi y S. Carloni. "Ordinal Regression by a Generalized Force-Based Model", IEEE Transaction on Cybernetics, Vol. 45(4). 2015, pp. 844-857. JCR(2015): 4.943 Position: 6/130 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
E. Rodero, A. González, M. Dorado-Moreno, M. Luque y C. Hervás-Martínez. "Classification of goat genetic resources using morphological traits. Comparison of machine learning techniques with linear discriminant analysis", Livestock Science. 2015. JCR(2015): 1.293 Position: 17/58 (Q2) Category: AGRICULTURE, DAIRY & ANIMAL SCIENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, J.M. Peña, P.A. Gutiérrez, J. Torres-Sánchez, C. Hervás-Martínez y F. López-Granados. "A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method", Applied Soft Computing, Vol. 37. 2015, pp. 533-544. JCR(2015): 2.857 Position: 16/104 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.C. Fernández, S. Salcedo-Sanz, P.A. Gutiérrez, E. Alexandre y C. Hervás-Martínez. "Significant wave height and energy flux range forecast with machine learning classifiers", Engineering Applications of Artificial Intelligence, Vol. 43. 2015, pp. 44-53. JCR(2015): 2.368 Position: 32/130 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, M. Cruz-Ramírez, J. Sánchez-Monedero y C. Hervás-Martínez. "Kernelising the Proportional Odds Model through Kernel Learning techniques", Neurocomputing, Vol. 126. 2015, pp. 23-33. JCR(2015): 2.392 Position: 31/130 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Urzagasti, D. Becerra-Alonso, L.M. Pérez, H.L. Mancini y D. Laroze. "Hyper-Chaotic and Chaotic Synchronisation of Two Interacting Dipoles". Proceedings of the 3rd Dynamics Days, Springer Proceedings in Physics. 3-7 November 2014. 2015. South America, Valparaiso. pp. 261-272. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz. "Exploiting decomposition methods, kernel algorithms and over-sampling techniques for ordinal regression". C. Hervás-Martínez, P. A. Gutiérrez. 2015. [Más] [Bibtex] [RIS] [MODS]
M.J. Vázquez, M. Torres-Jiménez y P. Caldentey-del-Pozo. Capabilities on the Move: Mobility and Aspirations.. H.D. 2015) ed. 2015. [Más] [Bibtex] [RIS] [MODS]
P. Gómez-Rey, F. Fernandez-Navarro y E. Barbera-Gregori. "Characterising the success factors on distance education using the Hofstede Cultural Framework". Edulearn 2015: 7th annual International Conference on Education and New Learning Technologies. Julio. 2015. pp. 1201–1210. [Más] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, P.A. Gutiérrez, J. Sánchez-Monedero y C. Hervás-Martínez. "Overcoming the linearity of Ordinal Logistic Regression adding non-linear covariates from Evolutionary Hybrid Neural Network models". 16th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2015). 09th-12th November. 2015. Albacete (Spain). Lecture Notes in Computer Science (LNCS), vol. 9422. pp. 301-311. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, J.C. Fernández, M. Pérez-Ortiz, L. Cornejo-Bueno, E. Alexandre-Cortizo, S. Salcedo-Sanz y C. Hervás-Martínez. "Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model". 13th International Work-Conference on Artificial Neural Networks (IWANN 2015). 10th-12th June. 2015. Palma de Mallorca (Spain). Lecture Notes in Computer Science (LNCS), vol. 9095. pp. 92-102. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, J.M. Peña, J. Torres-Sánchez, C. Hervás-Martínez y F.L. Granados. "An experimental comparison for the identification of weeds in sunflower crops via unmanned aerial vehicles and object-based analysis". 13th International Work-Conference on Artificial Neural Networks (IWANN 2015). 10th-12th June. 2015. Palma de Mallorca (Spain). Lecture Notes in Computer Science, vol. 9094. pp. 252-262. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, M. de la Paz Marín, P.A. Gutiérrez y C. Hervás-Martínez. "Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series". 13th International Work-Conference on Artificial Neural Networks (IWANN 2015). 10th-12th June. 2015. Palma de Mallorca (Spain). Lecture Notes in Computer Science, vol. 9095. pp. 69-79. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, P.A. Gutiérrez, J. Sánchez-Monedero y C. Hervás-Martínez. "Nonlinear Ordinal Logistic Regression using covariates obtained by Radial Basis Function neural networks models". 13th International Work-Conference on Artificial Neural Networks (IWANN 2015). 10th-12th June. 2015. Palma de Mallorca (Spain). Lecture Notes in Computer Science (LNCS), vol. 9095. pp. 80-91. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2014 (32)

P.A. Gutiérrez, P. Tino y C. Hervás-Martínez. "Ordinal regression neural networks based on concentric hyperspheres", Neural Networks, Vol. 59, November, 2014, pp. 51-60. JCR(2014): 2.708 Position: 18/123 (Q1) Category: ENGINEERING, MULTIDISCIPLINARY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, P. Campoy-Muñoz, P.A. Gutiérrez y C. Hervás-Martínez. "A guided data projection technique for classification of sovereign ratings: the case of European Union 27", Applied Soft Computing, Vol. 22, September, 2014, pp. 339-350. JCR(2014): 2.810 Position: 17/123 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, S. Salcedo-Sanz, P.A. Gutiérrez, C.C. Mateo y C. Hervás-Martínez. "Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier", Engineering Applications of Artificial Intelligence, Vol. 34, September, 2014, pp. 199-207. JCR(2014): 2.207 Position: 12/83 (Q1) Category: ENGINEERING, MULTIDISCIPLINARY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Salazar-Ordóñez, M. Rodríguez-Entrena y D. Becerra-Alonso. "Willingness to purchase Genetically Modified food: an analysis applying artificial Neural Networks". Proceedings of the EAAI 2014 Congress ‘Agri-Food and Rural Innovations for Healthier Societies’. August. 2014. Ljubljana, Slovenia. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, M. de la Paz Marín, P.A. Gutiérrez y C. Hervás-Martínez. "Classification of EU countries' progress towards sustainable development based on ordinal regression techniques", Knowledge-Based Systems, Vol. 66, August, 2014, pp. 178-189. JCR(2014): 2.947 Position: 16/123 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P. Campoy-Muñoz, P.A. Gutiérrez y C. Hervás-Martínez. "Addressing remitting behavior using an ordinal classification approach", Expert Systems With Applications, Vol. 41(10), August, 2014, pp. 4752-4761. JCR(2014): 2.240 Position: 12/81 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
C. García-Alonso, L.M. Pèrez-Naranjo y J.C. Fernández. "Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms", Annals of Operations Research, Vol. 219(1), August, 2014, pp. 187-202. JCR (2014): 1.217 Position: 38/81 (Q2) Category: OPERATIONS RESEARCH AND MANAGEMENT SCIENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
E. Corchado, A. Abraham, P.A. Gutiérrez, J.M. Benitez y S. Ventura. "Special issue: Advances in learning schemes for function approximation", Neurocomputing, Vol. 135, July, 2014, pp. 1-2. JCR(2014): 2.083 Position: 36/123 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, C. Hervás-Martínez, J. Sánchez-Monedero y P.A. Gutiérrez. "Metrics to guide a multi-objective evolutionary algorithm for ordinal classification", Neurocomputing, Vol. 135, July, 2014, pp. 21-31. JCR(2014): 2.083 Position: 36/123 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
L. García-Hernández, M. Pérez-Ortiz, A. Araúzo-Azofra, L. Salas-Morera y C. Hervás-Martínez. "An Evolutionary Neural System for incorporating Human Expert Knowledge into the UA-FLP", Neurocomputing, Vol. 135, July, 2014, pp. 69-78. JCR(2014): 2.083 Position: 36/124 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez y C. Hervás-Martínez. "Projection based ensemble learning for ordinal regression", IEEE Transactions on Cybernetics, Vol. 44(5), May, 2014, pp. 681-694. JCR(2014): 3.469 Position: 2/24 (Q1) Category: COMPUTER SCIENCE, CYBERNETICS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Sianes, M. Dorado-Moreno y C. Hervás-Martínez. "Rating the Rich: An Ordinal Classification to Determine Which Rich Countries are Helping Poorer Ones the Most", Social Indicators Research, Vol. 116(1), February, 2014, pp. 47-65. JCR(2014): 1.395 Position: 20/95 (Q1) Category: SOCIAL SCIENCES, INTERDISCIPLINARY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, M. Cruz-Ramírez, M.D. Ayllón-Terán, N. Heaton, R. Ciria y C. Hervás-Martínez. "An organ allocation system for liver transplantation based on ordinal regression", Applied Soft Computing, Vol. 14(A), January, 2014, pp. 88–98. JCR(2014): 2.810 Position: 17/123 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Alvarez-Galvez, M.L. Rodero-Cosano, C. García-Alonso y L.S. Carulla. "Changes in socioeconomic determinants of health: comparing the effect of social and economic indicators through European welfare state regimes.", Journal of Public Health, Vol. 22(4). 2014, pp. 305-311. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.L. Rodero-Cosano, C. García-Alonso y J.A. Salinas-Pérez. "A deprivation analysis for Andalusia (Spain): an approach based on structural equations.", Social Indicators Research, Vol. 115(2). 2014, pp. 751-765. JCR(2014): 1.395 Position: 20/95 (Q1) Category: SOCIAL SCIENCES, INTERDISCIPLINARY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
Y. Muñoz-Ocaña y M. Torres-Jiménez. "Basic social-services Aid Distribution: is it reaching the most needy?", Revista de Economía Mundial, Vol. 36. 2014, pp. 95-119. JCR(2014): 0.237 Position: 300/333 (Q4) Category: ECONOMICS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.P. Pérez-Hernández, J.M. Martín-López, M. Torres-Jiménez y L. Fernández-Portillo. "Application of Prospective Analysis and Cluster Analysis as a tool to aid in the design of rural development policies: the case of Andalusia", Cuadernos de desarrollo rural, Vol. 11(73). 2014, pp. 61-86. JCR(2014): 0.151 Position: 53/56 (Q4) Category: AGRICULTURE, MULTIDISPLINARY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Riccardi, F. Fernandez-Navarro y S. Carloni. "Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine", IEEE Transaction on Cybernetics, Vol. 44(10). 2014, pp. 1898-1909. JCR(2014): 3.469 Position: 13/123 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, A. Riccardi y S. Carloni. "Ordinal Neural Networks Without Iterative Tuning", IEEE Transaction on Neural Networks and Learning Systems, Vol. 25(11). 2014, pp. 2075-2085. JCR(2014): 4.291 Position: 6/123 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Briceño, M. Cruz-Ramírez, M. Prieto, M. Navasa, J. O. de Urbina, R. Orti, M.-Á. Gómez-Bravo, A. Otero, E. Varo, S. Tomé, G. Clemente, R. Bañares, R. Bárcena, V. Cuervas-Mons, G. Solórzano, C. Vinaixa, Á. Rubín, J. Colmenero, A. Valdivieso, R. Ciria, C. Hervás-Martínez y M. de la Mata. "Use of artificial intelligence as an innovative donor-recipient matching model for liver transplantation: Results from a multicenter Spanish study". 2014. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, J. Sánchez-Monedero y C. Hervás-Martínez. "Evaluation of centred kernel-target alignment for multi-scale kernel optimisation", Information Sciences. 2014. [Más] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, M. de la Paz Marín, M. Pérez-Ortiz y C. Hervás-Martínez. "Time series segmentation and statistical characterisation of the Spanish stock market Ibex-35 index". Proceedings of the 9th International Conference on Hybrid Artificial Intelligence Systems (HAIS2014). 2014. Lecture Notes in Computer Science, vol. 8480. pp. 74-85. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.M. Peña-Barragán, P.A. Gutiérrez, C. Hervás-Martínez, J. Six, R.E. Plant y F. López-Granados. "Object-Based Image Classification of Summer Crops with Machine Learning Methods", Remote Sensing, Vol. 6(6). 2014, pp. 5019-5041. JCR(2014): 3.180 Position: 5/28 (Q1) Category: REMOTE SENSING. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Torres-Jiménez y Y. Muñoz-Ocaña. Distribución sectorial de la AOD para SSB. I.C. DESARROLLO ed. 2014. [Más] [Bibtex] [RIS] [MODS]
M. de Vicente-Lama y M. Torres-Jiménez. Fair value accounting and financial statement analysis: Implications in the European Real Estate Industry. X. W. on Empirical Research in Financial Accounting ed. 2014. [Más] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez y C. Hervás-Martínez. "Incorporating privileged information to improve manifold ordinal regression". 6th International Conference on Neural Computation Theory and Applications (NCTA2014). 22th-24th October. 2014. Roma (Italy). pp. 187-194. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez y C. Hervás-Martínez. "Learning Kernel Label Decompositions for Ordinal Classification Problems". 6th International Conference on Neural Computation Theory and Applications (NCTA2014). 22th-24th October. 2014. Roma (Italy). pp. 218-225. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
Y.M. Ocaña. "Análisis de la Ayuda Oficial al Desarrollo para la cobertura de las Necesidades Sociales Básicas". M. Carbonero Ruz y Mercedes Torres Jiménez. 2014. [Más] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, J. Sánchez-Monedero, C. Hervás-Martínez, A. Nikolaou, I. Dicaire y F. Fernandez-Navarro. "Time series segmentation of paleoclimate tipping points by an evolutionary algorithm". 9th International Conference on Hybrid Artificial Intelligence Systems (HAIS2014). 11th-13th September. 2014. Salamanca (Spain). Lecture Notes in Computer Science, vol. 8480. pp. 318-329. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez y C. Hervás-Martínez. "Log-gamma distribution optimisation via maximum likelihood for ordered probability estimates". 9th International Conference on Hybrid Artificial Intelligence Systems (HAIS2014). 11th-13th June. 2014. Salamanca (Spain). Lecture Notes in Computer Science (LNCS), vol. 8480. pp. 454-465. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Tang, P. Tino, P.A. Gutiérrez y H. Chen. "Support Vector Ordinal Regression using Privileged Information". Proceedings of the 2014 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2014). 23th-25th April. 2014. Bruges, Belgium. pp. 253-258. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rodriguez-Perálvarez, M. Cruz-Ramírez, E. Tsochatzis, C. García-Caparrós, P.A. Gutiérrez, G. Pieri, M. Pérez-Ortiz, J.L. Montero-Álvarez, A. Poyato, J. Briceño, A. Burroughs, C. Hervás-Martínez y M. de la Mata. "Utilidad de los modelos de aprendizaje automático para la predicción de la recidiva del hepatocarcinoma tras el trasplante hepático". Congreso de la Asociación Española para el Estudio del Hígado. Febrero, 2014. 2014. Gastroenterologia y Hepatologia, vol. 37. pp. 94. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2013 (36)

F. Fernandez-Navarro, P. Campoy-Muñoz, M. de la Paz Marín, C. Hervás-Martínez y X. Yao. "Addressing the EU sovereign ratings using an ordinal regression approach", IEEE Transactions on Cybernetics, Vol. 43(6), December, 2013, pp. 2228-2240. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, P.A. Gutiérrez, C. Hervás-Martínez y X. Yao. "Negative Correlation Ensemble Learning for Ordinal Regression", IEEE Transactions on Neural Networks and Learning Systems, Vol. 24(11), November, 2013, pp. 1836-1849. JCR (2013): 4.370 (category COMPUTER SCIENCE, THEORY & METHODS, position 2/102 Q1). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, P.A. Gutiérrez, P. Tino y C. Hervás-Martínez. "Exploitation of Pairwise Class Distances for Ordinal Classification", Neural Computation, Vol. 25(9), September, 2013, pp. 2450-2485. JCR (2013): 1.694 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 43/121 Q2). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Lucia-Casademunt, A. Ariza-Montes y D. Becerra-Alonso. "Exploring emotional involvement in the workplace by applying artificial neural networks: European study.", Actual Problems of Economics, Vol. 143(5), May, 2013, pp. 376. [Más] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, C. Hervás-Martínez, J.C. Fernández, J. Briceño y M. de la Mata. "Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks", Artificial Intelligence in Medicine, Vol. 58(1), May, 2013, pp. 37-49. JCR (2013): 1.356 Position: 57/121 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Lucia-Casademunt, A. Ariza-Montes, A.C. Morales-Gutiérrez y D. Becerra-Alonso. "Implicación Laboral y Emociones en el Trabajo: Estudio Empírico de sus Factores Determinantes.", Revista Venezolana de Gerencia, Vol. 18(62). 2013, pp. 217-246. [Más] [Bibtex] [RIS] [MODS]
A. Tongen, R. Thelwell y D. Becerra-Alonso. "Reinventing the wheel: The chaotic sandwheel.", American Journal of Physics, Vol. 81(2). 2013, pp. 127. [Más] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, P.A. Gutiérrez y C. Hervás-Martínez. "Generalised Gaussian Radial Basis Function Neural Networks", Soft Computing, Vol. 17(3). 2013, pp. 519-533. JCR (2013): 1.304 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 59/121 Q2). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, S. Salcedo-Sanz, C. Hervás-Martínez, L. Carro-Calvo, J. Sánchez-Monedero y L. Prieto. "Ordinal and nominal classification of wind speed from synoptic pressure patterns", Engineering Applications of Artificial Intelligence, Vol. 26(3). 2013, pp. 1008-1015. JCR (2013): 1.962 (category ENGINEERING, MULTIDISCIPLINARY, position 15/87, Q1). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.D. Redel-Macías, F. Fernandez-Navarro, P.A. Gutiérrez, A.J. Cubero-Atienza y C. Hervás-Martínez. "Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks", Expert Systems with Applications, Vol. 40(5). 2013, pp. 1477-1483. JCR (2013): 1.965 (category OPERATIONS RESEARCH & MANAGEMENT SCIENCE, position 11/79 Q1). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.D. Redel-Macías, F. Fernandez-Navarro, P.A. Gutiérrez, A. Cubero-Atienza y C. Hervás-Martínez. "Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles", Neurocomputing, Vol. 109(3). 2013, pp. 56-65. JCR (2013): 2.005 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 28/121 Q1). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, C. Hervás-Martínez, P.A. Gutiérrez, M. Pérez-Ortiz, J. Briceño y M. de la Mata. "Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem", Soft Computing, Vol. 17(2). 2013, pp. 275-284. JCR (2013): 1.304 (category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, position 59/121 Q2). [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.D. Ayllón, R. Ciria, R. Valente, M. Cruz-Ramírez, M. Pérez-Ortiz, R. Orti, C. Hervás-Martínez, M. Rela, N. Heaton, M. de la Mata y J. Briceño. "Validación externa de un modelo de asignación de redes neuronales en la asignación donante-receptor en trasplante hepático". XXIV Congreso de la Sociedad Española de Trasplante Hepático. 2013. [Más] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez. "Redes neuronales evolutivas multiobjetivo para clasificación nominal y ordinal. Aplicaciones". C. Hervás-Martínez. 2013. [Más] [Bibtex] [RIS] [MODS]
P. Campoy-Muñoz. "Estimación de los flujos de remesas asociados a corredores migratorios en condiciones de incertidumbre: el caso de Ecuador". C. García-Alonso, M. Salazar-Ordoñez, P. A. Gutiérrez. 2013. [Más] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero. "Retos en clasificación ordinal: redes neuronales artificiales y métodos basados en proyecciones/Challenges in ordinal classification: artificial neural networks and projection-based methods". C. Hervás-Martínez, P. A. Gutiérrez. 2013. [Más] [Bibtex] [RIS] [MODS]
M. de la Paz Marín. "Estudio del uso de los recursos de I+D+i en la consecución de un desarrollo sostenible a través de una economía basada en el conocimiento: clasificación de países mediante el análisis envolvente de datos y técnicas de clasificación". C. García-Alonso, P. A. Gutiérrez. 2013. [Más] [Bibtex] [RIS] [MODS]
M.L. Cosano. "Reformulación del Índice de Privación: el Caso de la Comunidad Autónoma Andaluza". C. García-Alonso. 2013. [Más] [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. [Más] [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. [Más] [Bibtex] [RIS] [MODS]
A. Castaño-Méndez. "Redes Neuronales Evolutivas de Funciones de Base Radial Generalizadas en Clasificación: Aplicaciones". César Hervás-Martínez. 2013. [Más] [Bibtex] [RIS] [MODS]
A. Tallón-Ballesteros, C. Hervás-Martínez y P.A. Gutiérrez. "An Extended Approach of a Two-Stage Evolutionary Algorithm in Artificial Neural Networks for Multiclassification Tasks". I. Jordanov y L.C. Jain eds. Springer. 2013. pp. 139-153. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Tallón-Ballesteros, C. Hervás-Martínez, J. Riquelme y 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. [Más] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, M. Pérez-Ortiz, J. Sánchez-Monedero y 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. [Más] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, P.A. Gutiérrez y 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 y Emilio eds. 11th-13th September. 2013. Salamanca (Spain). Lecture Notes in Computer Science (LNCS), vol. 8073. pp. 500-509. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, M. Cruz-Ramírez, J. Sánchez-Monedero y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, P.A. Gutiérrez, M. Pérez-Ortiz y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, J. Sánchez-Monedero y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Castaño-Méndez, F. Fernandez-Navarro y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P. Campoy-Muñoz, P.A. Gutiérrez y 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 y F.J. Moreo eds. 10th-14th June. 2013. Mallorca, Spain. Lecture Notes in Computer Science, vol. 7931. pp. 326-335. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, R. Colmenarejo, J.C. Fernández y 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. [Más] [Bibtex] [RIS] [MODS]
C. Hervás-Martínez, M. Pérez-Ortiz, M. Cruz-Ramírez y 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. [Más] [Bibtex] [RIS] [MODS]
J.A. Moreno, H.G. Mozo, C. Hervás-Martínez y C. Galán-Soldevilla. "Year clustering analysis for modelling olive flowering phenology", International Journal of Biometeorology, Vol. 57(4). 2013, pp. 545-555. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.A. Moreno, H.G. Mozo, C. Hervás-Martínez y C. Galán-Soldevilla. "Biometeorological and autoregressive indices for predicting olive pollen intensity", International Journal of Biometeorology, Vol. 57(2). 2013, pp. 307-316. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2012 (16)

M. Cruz-Ramírez, C. Hervás-Martínez, J.C. Fernández, J. Briceño y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
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]
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]
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]
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]
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]
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]
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]

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