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SCI2S Publications (S. Ramírez-Gallego)

Number of Results: 20

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In Press (3)


2017 (5)


2016 (6)

  • [1896] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. IEEE Transaction on Cybernetics 46:3 (2016) 595-608. doi: 10.1109/TCYB.2015.2410143
  • [1996] S. Ramírez-Gallego, S. García, H. Mouriño Talín, D. Martínez-Rego, V. Bolón-Canedo, A. Alonso-Betanzos, J. M. Benítez, F. Herrera. Data discretization: taxonomy and big data challenge. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 6:1 (2016) 5-21. doi: 10.1002/widm.1173 PDF Icon
  • [2162] S. García, S. Ramírez-Gallego, J. Luengo, J.M. Benítez, F. Herrera. Big data preprocessing: methods and prospects. Big Data Analytics 1:9 (2016). doi: 10.1186/s41044-016-0014-0 PDF Icon
  • [2178] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. Discretización Multivariada basada en Selección de Puntos Evolutiva para Clasificación. XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), XI Symposio de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), September 14-16, 2016. PDF Icon
  • [2279] F. J. Baldan, S. Ramirez-Gallego, C. Bergmeir, J. M. Benitez-Sanchez, F. Herrera. A Forecasting Methodology for Workload Forecasting in Cloud Systems. IEEE Transactions on Cloud Computing, vol.PP, no.99, pp.1-1. doi: 10.1109/TCC.2016.2586064 BibTex Icon
  • [2280] F. J. Baldan, S. Ramirez-Gallego, C. Bergmeir, J. M. Benitez-Sanchez, F. Herrera. A Forecasting Methodology for Workload Forecasting in Cloud Systems. Actas de la XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2016), VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA 2016), Salamanca (Spain), pp. 765-766, September 14-16, 2016.


2015 (4)

  • [1939] D. Peralta, S. Río, S. Ramírez-Gallego, I. Triguero, J.M. Benítez, F. Herrera. Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach. Mathematical Problems in Engineering, vol. 2015, Article ID 246139 (2015) 11 pages. doi: 10.1155/2015/246139
  • [2063] S. Ramírez-Gallego, S. Garcia, H. Mourino-Talin, D. Martinez-Rego, V. Bolon-Canedo, A. Alonso-Betanzos, J.M. Benítez, F. Herrera. Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. 9th International Conference on Big Data Science and Engineering (IEEE BigDataSE-15), Helsinki (Finland), 33-40, August 20-22, 2015. doi: 10.1109/Trustcom.2015.559
  • [2168] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. In: Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Advances in Intelligent Systems and Computing, vol 403. Springer, Cham. doi: 10.1007/978-3-319-26227-7_5 PDF Icon
  • [2175] S. Ramírez-Gallego, H. Mouriño-Talín, D. Martínez-Rego, V. Bolón-Canedo, J. M. Benítez, A. Alonso-Betanzos, F. Herrera. Un Framework de Selección de Características basado en la Teoría de la Información para Big Data sobre Apache Spark. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), 1er Workshop en Big Data y Análisis de Datos Escalable, November 9-12, 2015. PDF Icon


2014 (1)


2012 (1)