Vázquez, I., Ayasi, B., Seker, H., Luengo, J., Sedano, J., & García-Vico, Á. (2024). Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites. Applied Soft Computing, 160, 111681. https://doi.org/https://doi.org/10.1016/j.asoc.2024.111681
J. Luengo
First name
J.
Last name
Luengo
2024
2019
Cano De Amo, J. R., Luengo, J., & García López, S. (2019). Label noise filtering techniques to improve monotonic classification. Neurocomputing, 353, 83-95. https://doi.org/10.1016/j.neucom.2018.05.131 (Original work published 2019)
2017
Triguero, I., Gonzalez, S., Moyano, J., García López, S., Alcala-Fdez, J., Luengo, J., … PRESS., A. (2017). KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. International Journal of Computational Intelligence Systems, 10, 1238-1249.
2016
Luengo, J., García-Vico, Á. M., Pérez Godoy, M. D., & Carmona, C. J. (2016). The Influence of Noise on the Evolutionary Fuzzy Systems for Subgroup Discovery. Soft Computing, 20, 4313-4330. https://doi.org/10.1007/s00500-016-2300-1
2015
Carmona, C. J., & Luengo, J. (2015). A first approach in the class noise filtering approaches for Fuzzy Subgroup Discovery. Springer.
2012
Carmona, C. J., Luengo, J., González García, P., & del Jesus Díaz, M. J. (2012). A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery. 1-7. Brisbane (Australia). (Original work published 2026)
García López, S., López, V., Luengo, J., Carmona, C. J., & Herrera Triguero, F. (2012). A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. 211-216. Villamoura - (Portugal). (Original work published 2026)
Carmona, C. J., Luengo, J., González García, P., & del Jesus Díaz, M. J. (2012). An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery. Expert Systems With Applications, 39, 11404-11412. https://doi.org/10.1016/j.eswa.2012.04.029
2011
Luengo, J., Fernández Hilario, A. L., García López, S., & Herrera Triguero, F. (2011). Addressing Data Complexity for Imbalanced Data Sets: Analysis of SMOTE-based Oversampling and Evolutionary Undersampling. Soft Computing, 15, 1909-1936. https://doi.org/10.1007/s00500-010-0625-8
García López, S., Derrac, J., Luengo, J., Carmona, C. J., & Herrera Triguero, F. (2011). Evolutionary Selection of Hyperrectangles in Nested Generalized Exemplar Learning. Applied Soft Computing, 11, 3032-3045. https://doi.org/10.1016/j.asoc.2010.11.030