Fernando Jiménez en Google Académico

  • 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.
  • investigacion.txt
  • Última modificación: 2019/10/26 19:01
  • (editor externo)