Fernández, A. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2015). Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection (K. . Jackowski, R. . Burduk, K. . Walkowiak, M. . Woźniak, & H. . Yin, Eds.). Cham: Springer International Publishing.
Alberto Fernández
First name
Alberto
Last name
Fernández
2015
Fernández, A. ., López, V. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2015). Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges. Knowledge-Based Systems, 80, 109-121. https://doi.org/10.1016/j.knosys.2015.01.013
2014
Fernández, A. ., del Río, S. ., López, V. ., Bawakid, A. ., del Jesus Díaz, M. J. ., Benitez, J. M., & Herrera Triguero, F. . (2014). Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks. WIREs Data Mining and Knowledge Discovery, 4, 380-409. https://doi.org/10.1002/widm.1134
2013
López, V. ., Fernández, A. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2013). A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets. Knowledge-Based Systems, 38, 85-104. https://doi.org/10.1016/j.knosys.2012.08.025
Fernández, A. ., López, V. ., Galar, M. ., del Jesus Díaz, M. J. ., Herrera Triguero, F. ., & BV, E. S. (2013). Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches. Knowledge-Based Systems, 42, 97-110. https://doi.org/10.1016/j.knosys.2013.01.018
2012
López, V. ., Fernández, A. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2012). Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. 2. (Original work published)
López, V. ., Fernández, A. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2012). Un sistema de clasificación basado en reglas difusas jerárquico con programación genética para problemas de clasificación altamente no balanceados. Presentado en. (Original work published)
2010
Pérez Godoy, M. D. . ., Fernández, A. ., Rivas, A. R., & del Jesus Díaz, M. J. . (2010). Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets. Pattern Recognition Letters, 31, 2375-2388. https://doi.org/10.1016/j.patrec.2010.07.010 (Original work published)
Fernández, A. . (2010). Sistemas de Clasificación Basados en Reglas Difusas Lingüísticas Aplicadas a Problemas con Clases No Balanceadas. University of Granada, Granada.
Notes
M. J. del Jesus and F. Herrera
2006
Fernández, A. ., García López, S. ., Herrera Triguero, F. ., & del Jesus Díaz, M. J. . (2006). Un primer estudio sobre el uso de los sistemas de clasificación basados en reglas difusas en problemas de clasificación con clases no balanceadas. Presentado en. Ciudad Real (Español). (Original work published)