Rojas, M. M., Gacto, M. J., Vitiello, A. ., Acampora, G. ., & Hidalgo, J. M. S. (2021). An Internet of Things and Fuzzy Markup Language Based Approach to Prevent the Risk of Falling Object Accidents in the Execution Phase of Construction Projects. Sensors, 21, 6461. https://doi.org/10.3390/s21196461
M. Gacto
First name
M.
Last name
Gacto
2021
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
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
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
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
Carmona, C. J. ., González García, P. ., Gacto, M. J., & del Jesus Díaz, M. J. . (2012). Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD. International Journal of Computational Intelligence Systems, 5, 355-367. https://doi.org/10.1080/18756891.2012.685323
Palacios, A. M., Gacto, M. J., & Alcala-Fdez, J. . (2012). Mining Fuzzy Association Rules from Low Quality Data. Soft Computing, 16, 883-901. https://doi.org/10.1007/s00500-011-0775-3
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