Year: 2014 (13)


• 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 and 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. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, J. Sánchez-Monedero and C. Hervás-Martínez. "Evaluation of centred kernel-target alignment for multi-scale kernel optimisation", Information Sciences. 2014. [More] [Bibtex] [RIS] [MODS]
• M. Cruz-Ramírez, M. de la Paz Marín, M. Pérez-Ortiz and 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. [More] [Bibtex] [RIS] [MODS]
• J.M. Peña-Barragán, P.A. Gutiérrez, C. Hervás-Martínez, J. Six, R.E. Plant and 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. [More] [Bibtex] [RIS] [MODS]
• M. Torres-Jiménez and Y. Muñoz-Ocaña. Distribución sectorial de la AOD para SSB. I.C. DESARROLLO ed. 2014. [More] [Bibtex] [RIS] [MODS]
• M. de Vicente-Lama and 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. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez and 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. [More] [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. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, J. Sánchez-Monedero, C. Hervás-Martínez, A. Nikolaou, I. Dicaire and 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. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
• F. Tang, P. Tino, P.A. Gutiérrez and 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. [More] [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 and 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. [More] [Bibtex] [RIS] [MODS]

Year: 2013 (12)

• F. Fernandez-Navarro, P. Campoy-Muñoz, M. de la Paz Marín, C. Hervás-Martínez and X. Yao. "Addressing the EU sovereign ratings using an ordinal regression approach", IEEE Transactions on Cybernetics, Vol. 43(6), December, 2013, pp. 2228-2240. [More] [Bibtex] [RIS] [MODS]
• F. Fernandez-Navarro, P.A. Gutiérrez, C. Hervás-Martínez and 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). [More] [Bibtex] [RIS] [MODS]
• J. Sánchez-Monedero, P.A. Gutiérrez, P. Tino and 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). [More] [Bibtex] [RIS] [MODS]
• A.M. Lucia-Casademunt, A. Ariza-Montes and 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. [More] [Bibtex] [RIS] [MODS]
• M. Cruz-Ramírez, C. Hervás-Martínez, J.C. Fernández, J. Briceño and 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. [More] [Bibtex] [RIS] [MODS]
• A.M. Lucia-Casademunt, A. Ariza-Montes, A.C. Morales-Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
• A. Tongen, R. Thelwell and D. Becerra-Alonso. "Reinventing the wheel: The chaotic sandwheel.", American Journal of Physics, Vol. 81(2). 2013, pp. 127. [More] [Bibtex] [RIS] [MODS]
• F. Fernandez-Navarro, P.A. Gutiérrez and 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). [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, S. Salcedo-Sanz, C. Hervás-Martínez, L. Carro-Calvo, J. Sánchez-Monedero and 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). [More] [Bibtex] [RIS] [MODS]
• M.D. Redel-Macías, F. Fernandez-Navarro, P.A. Gutiérrez, A.J. Cubero-Atienza and 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). [More] [Bibtex] [RIS] [MODS]
• M.D. Redel-Macías, F. Fernandez-Navarro, P.A. Gutiérrez, A. Cubero-Atienza and 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). [More] [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 and 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. [More] [Bibtex] [RIS] [MODS]