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
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
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
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. Presented at the. (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. Presented at the. Ciudad Real (Español). (Original work published)