**[[http://scholar.google.es/citations?hl=es&user=CWgxQY8AAAAJ|Fernando Jiménez en Google Académico]]**




===== Publicaciones relevantes =====

  * F. Jiménez, C. Martínez, E. Marzano, J. Palma, G. Sánchez and G. Sciavicco (2019). //Multi-objective Evolutionary Feature Selection for Fuzzy Classification//, IEEE Transactions on Fuzzy Systems 27 (5), 1085-1099.

  * Jiménez, F., Pérez-Sánchez, H., Palma, J. Sánchez, G., Martínez, C. (2019). //A methodology for evaluating multi-objective evolutionary feature selection for classification in the context of virtual screening//. Soft Computing 23 (18), 8775-8800.

  * Jiménez, F., Martínez, C., Miralles-Pechuán, L., Sánchez, G., Sciavicco, G. (2018) //Multi-Objective Evolutionary Rule-Based Classification with Categorical Data//. Entropy, 20, 684.

  * F Jiménez, G Sánchez, JM García, G Sciavicco, L Miralles (2017). //Multi-objective evolutionary feature selection for online sales forecasting//. Neurocomputing 234 (2017) 75–92.

  * Miralles, L., Rosso, D., Jiménez, F., García, J.M. (2017). // A methodology based on Deep Learning for advert value calculation in CPM, CPC and CPA networks//. Soft Computing 21 (3), 651-665.

  * Bresolin, D., Jiménez, F.,  Sánchez, G., Sciavicco, G. (2017). // Finite Satisfiability of Interval Temporal Logic Formulas with Multi-Objective Metaheuristics//. Multiple-Valued Logic and Soft Computing, vol. 28(2-3),  pp. 217-249.

  * Jiménez, F., Jódar, R., Martín, M. P., Sánchez, G., and Sciavicco, G. (2016). // Unsupervised feature selection for interpretable classification in behavioral assessment of children//. Expert Systems, doi: 10.1111/exsy.12173.


  * F Jiménez, G Sánchez, JM Juárez (2014). //Multi-objective evolutionary algorithms for fuzzy classification in survival prediction//. Artificial intelligence in medicine 60 (3), 197-219.

  * D Bresolin, F Jiménez, G Sánchez, G Sciavicco (2013). //Finite satisfiability of propositional interval logic formulas with multi-objective evolutionary algorithms//. Proceedings of the twelfth workshop on Foundations of Genetic Algorithms XII, 25-36.
 
  * F Jiménez, G Sánchez, P Vasant (2013). //A multi-objective evolutionary approach for fuzzy optimization in production planning//. Journal of Intelligent and Fuzzy Systems 25 (2), 441-455.

  * AF Gómez‐Skarmeta, F Jiménez, G Sánchez (2008). //Improving interpretability in approximative fuzzy models via multiobjective evolutionary algorithms//. International Journal of Intelligent Systems 22 (9), 943-969.

  * F Jiménez, JM Cadenas, G Sánchez, AF Gómez-Skarmeta, JL Verdegay (2006). //Multi-objective evolutionary computation and fuzzy optimization//. International Journal of Approximate Reasoning 43 (1), 59-75.

  * F Jiménez, AF Gómez-Skarmeta, G Sánchez, K Deb (2002). //An evolutionary algorithm for constrained multi-objective optimization//. Proceedings of the Congress on Evolutionary Computation, 1133-1138.

  * F Jiménez, AF Gómez-Skarmeta, H Roubos, R Babuška (2001). //Accurate, transparent, and compact fuzzy models for function approximation and dynamic modeling through multi-objective evolutionary optimization//. Evolutionary multi-criterion optimization, 653-667.

  * AF Gómez-Skarmeta, F Jiménez (1999). //Fuzzy modeling with hybrid systems//. Fuzzy Sets and Systems 104 (2), 199-208.

  * F Jiménez, JL Verdegay (1999). //Solving fuzzy solid transportation problems by an evolutionary algorithm based parametric approach//. European Journal of Operational Research 117 (3), 485-510.

  * F Jiménez, JL Verdegay (1998). //Uncertain solid transportation problems//. Fuzzy Sets and Systems 100 (1), 45-57.