Diego García-Gil

According to our database, Diego García-Gil authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Benchmarking Anomaly Detection Methods: Insights From the UCR Time Series Anomaly Archive.

Francisco Javier Baldan, Diego García-Gil

Expert Syst. J. Knowl. Eng., February, 2025

Developing Big Data anomaly dynamic and static detection algorithms: AnomalyDSD spark package.

Diego García-Gil, David López, Daniel Argüelles-Martino, Jacinto Carrasco, Ignacio Aguilera-Martos, Julián Luengo, Francisco Herrera

Inf. Sci., 2025

2024

Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data.

Diego García-Gil, Salvador García, Ning Xiong, Francisco Herrera

Cogn. Comput., July, 2024

Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy.

Juan José Escobar, Jesús López-Rodríguez, Diego García-Gil, Roberto Morcillo-Jiménez, Beatriz Prieto, Andrés Ortiz, Dragi Kimovski

Proceedings of the Bioinformatics and Biomedical Engineering, 2024

2023

Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series.

David López, Ignacio Aguilera-Martos, Marta García-Bárzana, Francisco Herrera, Diego García-Gil, Julián Luengo

Inf. Fusion, December, 2023

Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study.

Ignacio Aguilera-Martos, Marta García-Bárzana, Diego García-Gil, Jacinto Carrasco, David López, Julián Luengo, Francisco Herrera

Neurocomputing, August, 2023

2021

Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms.

Jacinto Carrasco, David López, Ignacio Aguilera-Martos, Diego García-Gil, Irina Markova, Marta García-Bárzana, Manuel Arias-Rodil, Julián Luengo, Francisco Herrera

Neurocomputing, 2021

2020

Smart Data based Ensemble for Imbalanced Big Data Classification.

Diego García-Gil, Johan Holmberg, Salvador García, Ning Xiong, Francisco Herrera

CoRR, 2020

Big Data Preprocessing - Enabling Smart Data

Julián Luengo, Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera

Springer, ISBN: 978-3-030-39104-1, 2020

2019

Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data.

Isaac Triguero, Diego García-Gil, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera

WIREs Data Mining Knowl. Discov., 2019

Enabling Smart Data: Noise filtering in Big Data classification.

Diego García-Gil, Julián Luengo, Salvador García, Francisco Herrera

Inf. Sci., 2019

From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification.

Diego García-Gil, Francisco Luque Sánchez, Julián Luengo, Salvador García, Francisco Herrera

Int. J. Intell. Syst., 2019

A First Approach on Big Data Missing Values Imputation.

Besay Montesdeoca, Julián Luengo, Jesús Maillo, Diego García-Gil, Salvador García, Francisco Herrera

Proceedings of the 4th International Conference on Internet of Things, 2019

Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries.

Diego García-Gil, Alejandro Alcalde-Barros, Julián Luengo, Salvador García, Francisco Herrera

Proceedings of the 4th International Conference on Internet of Things, 2019

2018

MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems.

Diana Martín, María Martínez-Ballesteros, Diego García-Gil, Jesús Alcalá-Fdez, Francisco Herrera, José Cristóbal Riquelme Santos

Knowl. Based Syst., 2018

Principal Components Analysis Random Discretization Ensemble for Big Data.

Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera

Knowl. Based Syst., 2018

DPASF: A Flink Library for Streaming Data preprocessing.

Alejandro Alcalde-Barros, Diego García-Gil, Salvador García, Francisco Herrera

CoRR, 2018

On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data.

Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera

Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018