Biedma-Rdguez, C. ., Gacto, M. J., Anguita-Ruiz, A. ., Alcalá, R. ., Aguilera, C. M., & Alcala-Fdez, J. . (2023). Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy. Fuzzy Sets and Systems, 465, 108511. https://doi.org/https://doi.org/10.1016/j.fss.2023.03.014
Rafael Alcalá
First name
Rafael
Last name
Alcalá
2023
Arteaga, M. ., Gacto, M. J., Galende, M. ., Alcala-Fdez, J. ., & Alcalá, R. . (2023). Enhancing soft computing techniques to actively address imbalanced regression problems. Expert Systems With Applications, 234, 121011. https://doi.org/https://doi.org/10.1016/j.eswa.2023.121011
2020
Segura-Delgado, A. ., Gacto, M. J., Alcalá, R. ., & Alcala-Fdez, J. . (2020). Temporal association rule mining: An overview considering the time variable as an integral or implied component. WIREs Data Mining and Knowledge Discovery, 10. https://doi.org/10.1002/widm.1367 (Original work published 2020)
2019
Gacto, M. J., Soto-Hidalgo, J. M., Alcala-Fdez, J. ., & Alcalá, R. . (2019). Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems. IEEE Access, 7, 108916-108939. https://doi.org/10.1109/ACCESS.2019.2933261 (Original work published 2019)
2018
Alcalá, R. ., Gacto, M. J., & Alcala-Fdez, J. . (2018). Evolutionary Data Mining and Applications: A Revision on the Most Cited Papers from the Last 10 Years (2007-2017). WIREs Data Mining and Knowledge Discover, 8, 1-17. https://doi.org/10.1002/widm.1239
2014
Gacto, M. J., Galende, M. ., Alcalá, R. ., & Herrera Triguero, F. . (2014). METSK-HDe: A Multiobjective Evolutionary Algorithm to learn accurate TSK-fuzzy Systems in High-Dimensional and Large-Scale Regression Problems. Information Sciences, 276, 63-79. https://doi.org/10.1016/j.ins.2014.02.047
Galende, M. ., Gacto, M. J., Sainz, G. ., & Alcalá, R. . (2014). Comparison and Design of Interpretable Linguistic vs. Scatter FRBSs: GM3M Generalization and New Rule Meaning Index (RMI) for Global Assessment and Local Pseudo-Linguistic Representation. Information Sciences, 282, 190-213. https://doi.org/10.1016/j.ins.2014.05.023
2013
Gacto, M. J., Galende, M. ., Alcalá, R. ., & Herrera Triguero, F. . (2013). Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems. 1-7. (Original work published 2013)
2012
Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2012). A Multi-Objective Evolutionary Algorithm for an Effective Tuning of Fuzzy Logic Controllers in Heating, Ventilating and Air Conditioning Systems. Applied Intelligence, 36, 330-347. https://doi.org/10.1007/s10489-010-0264-x
Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2012). Aprendizaje Evolutivo De Sistemas Aproximativos De Tipo TSK Para Problemas De Alta Dimensionalidad. 295-300. Valladolid (Spain). (Original work published 2025)