Diego García-Gil

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Principal Components

Unsupervised Anomaly Detection

Dimensionality Reduction

Top Venues

Knowl. Based Syst.

Publications

Juan José Escobar, Jesús López-Rodríguez, Diego García-Gil, Roberto Morcillo-Jiménez, Beatriz Prieto, Andrés Ortiz, Dragi Kimovski
Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy. IWBBIO (1) (2024)
Diego García-Gil, Salvador García, Ning Xiong, Francisco Herrera
Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data. Cogn. Comput. 16 (4) (2024)
David López, Ignacio Aguilera-Martos, Marta García-Bárzana, Francisco Herrera, Diego García-Gil, Julián Luengo
Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series. Inf. Fusion 100 (2023)
Ignacio Aguilera-Martos, Marta García-Bárzana, Diego García-Gil, Jacinto Carrasco, David López, Julián Luengo, Francisco Herrera
Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study. Neurocomputing 544 (2023)
Jacinto Carrasco, David López, Ignacio Aguilera-Martos, Diego García-Gil, Irina Markova, Marta García-Bárzana, Manuel Arias-Rodil, Julián Luengo, Francisco Herrera
Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms. Neurocomputing 462 (2021)
Diego García-Gil, Johan Holmberg, Salvador García, Ning Xiong, Francisco Herrera
Smart Data based Ensemble for Imbalanced Big Data Classification. CoRR (2020)
Diego García-Gil, Julián Luengo, Salvador García, Francisco Herrera
Enabling Smart Data: Noise filtering in Big Data classification. Inf. Sci. 479 (2019)
Diego García-Gil, Alejandro Alcalde-Barros, Julián Luengo, Salvador García, Francisco Herrera
Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries. IoTBDS (2019)
Besay Montesdeoca, Julián Luengo, Jesús Maillo, Diego García-Gil, Salvador García, Francisco Herrera
A First Approach on Big Data Missing Values Imputation. IoTBDS (2019)
Isaac Triguero, Diego García-Gil, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera
Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data. WIREs Data Mining Knowl. Discov. 9 (2) (2019)
Diego García-Gil, Francisco Luque Sánchez, Julián Luengo, Salvador García, Francisco Herrera
From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification. Int. J. Intell. Syst. 34 (12) (2019)
Alejandro Alcalde-Barros, Diego García-Gil, Salvador García, Francisco Herrera
DPASF: A Flink Library for Streaming Data preprocessing. CoRR (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)
Diana Martín, María Martínez-Ballesteros, Diego García-Gil, Jesús Alcalá-Fdez, Francisco Herrera, José Cristóbal Riquelme Santos
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems. Knowl. Based Syst. 153 (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)
Diego García-Gil, Julián Luengo, Salvador García, Francisco Herrera
Enabling Smart Data: Noise filtering in Big Data classification. CoRR (2017)