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Year: 2015 (15)

Year: 2014 (10)

  • P.A. Gutiérrez, P. Tino and 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. [More] [Bibtex] [RIS] [MODS]
  • J. Sánchez-Monedero, P. Campoy-Muñoz, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
  • J. Sánchez-Monedero, S. Salcedo-Sanz, P.A. Gutiérrez, C.C. Mateo and 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. [More] [Bibtex] [RIS] [MODS]
  • M. Salazar-Ordóñez, M. Rodríguez-Entrena and 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. [More] [Bibtex] [RIS] [MODS]
  • M. Pérez-Ortiz, M. de la Paz Marín, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
  • P. Campoy-Muñoz, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
  • C. García-Alonso, L.M. Pèrez-Naranjo and 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. [More] [Bibtex] [RIS] [MODS]
  • E. Corchado, A. Abraham, P.A. Gutiérrez, J.M. Benitez and 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. [More] [Bibtex] [RIS] [MODS]
  • M. Cruz-Ramírez, C. Hervás-Martínez, J. Sánchez-Monedero and 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. [More] [Bibtex] [RIS] [MODS]
  • L. García-Hernández, M. Pérez-Ortiz, A. Araúzo-Azofra, L. Salas-Morera and 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. [More] [Bibtex] [RIS] [MODS]
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