Sergio Ramírez-Gallego

Publication Activity (10 Years)

Years Active: 2012-2021
Publications (10 Years): 17

Top Topics

Data Preprocessing

Nearest Neighbor

Top Venues

Knowl. Based Syst.

IEEE Trans. Syst. Man Cybern. Syst.

IEEE Trans. Cybern.

Publications

David López, Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera
BELIEF: A distance-based redundancy-proof feature selection method for Big Data. Inf. Sci. 558 (2021)
Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera
BELIEF: A distance-based redundancy-proof feature selection method for Big Data. CoRR (2018)
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. Swarm Evol. Comput. 38 (2018)
Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data. HAIS (2018)
Francisco Javier Baldan, Sergio Ramírez-Gallego, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez
A Forecasting Methodology for Workload Forecasting in Cloud Systems. IEEE Trans. Cloud Comput. 6 (4) (2018)
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark. IEEE Trans. Syst. Man Cybern. Syst. 48 (9) (2018)
Sergio Ramírez-Gallego, Alberto Fernández, Salvador García, Min Chen, Francisco Herrera
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce. Inf. Fusion 42 (2018)
Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
Principal Components Analysis Random Discretization Ensemble for Big Data. Knowl. Based Syst. 150 (2018)
Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
Online entropy-based discretization for data streaming classification. Future Gener. Comput. Syst. 86 (2018)
Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, Francisco Herrera
A survey on data preprocessing for data stream mining: Current status and future directions. Neurocomputing 239 (2017)
Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, José Manuel Benítez, Francisco Herrera
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. IEEE Trans. Syst. Man Cybern. Syst. 47 (10) (2017)
Jesús Maillo, Sergio Ramírez-Gallego, Isaac Triguero, Francisco Herrera
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data. Knowl. Based Syst. 117 (2017)
Sergio Ramírez-Gallego, Iago Lastra, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Francisco Herrera, Amparo Alonso-Betanzos
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data. Int. J. Intell. Syst. 32 (2) (2017)
Faruk Mustafic, Francisco Herrera, Ning Xiong, Sergio Ramírez-Gallego
MapReduce distributed highly random fuzzy forest for noisy big data. ICNC-FSKD (2017)
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. IEEE Trans. Cybern. 46 (3) (2016)
Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera
Data discretization: taxonomy and big data challenge. WIREs Data Mining Knowl. Discov. 6 (1) (2016)
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark. CoRR (2016)
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. CORES (2015)
Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego
Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. TrustCom/BigDataSE/ISPA (2) (2015)
Salvador García, Joaquín Derrac, Sergio Ramírez-Gallego, Francisco Herrera
On the statistical analysis of the parameters' trend in a machine learning algorithm. Prog. Artif. Intell. 3 (1) (2014)
Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García
Web usage mining to improve the design of an e-commerce website: OrOliveSur.com. Expert Syst. Appl. 39 (12) (2012)
Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García
Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com. ICEIS (2) (2012)