On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data. - Diego García-Gil; Sergio Ramírez-Gallego; Salvador García 001; Francisco Herrera (HAIS, 2018)

DPASF: A Flink Library for Streaming Data preprocessing. - Alejandro Alcalde-Barros; Diego García-Gil; Salvador García 001; Francisco Herrera (CoRR, 2018)

Principal Components Analysis Random Discretization Ensemble for Big Data. - Diego García-Gil; Sergio Ramírez-Gallego; Salvador García 001; Francisco Herrera (Knowl. Based Syst., 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)

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 001; Francisco Herrera (IoTBDS, 2019)

A First Approach on Big Data Missing Values Imputation. - Besay Montesdeoca; Julián Luengo; Jesús Maillo; Diego García-Gil; Salvador García 001; Francisco Herrera (IoTBDS, 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 001; Francisco Herrera (Int. J. Intell. Syst., 2019)

Enabling Smart Data: Noise filtering in Big Data classification. - Diego García-Gil; Julián Luengo; Salvador García 001; Francisco Herrera (Inf. Sci., 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 001; Francisco Herrera (WIREs Data Mining Knowl. Discov., 2019)

Big Data Preprocessing - Enabling Smart Data - Julián Luengo; Diego García-Gil; Sergio Ramírez-Gallego; Salvador García 001; Francisco Herrera (Springer, 2020)

Smart Data based Ensemble for Imbalanced Big Data Classification. - Diego García-Gil; Johan Holmberg; Salvador García 001; Ning Xiong 001; Francisco Herrera (CoRR, 2020)

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)

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, 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, 2023)

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 001; Dragi Kimovski (IWBBIO (1), 2024)

Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data. - Diego García-Gil; Salvador García 001; Ning Xiong 001; Francisco Herrera (Cogn. Comput., 2024)

Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems. - Francisco J. Baldán; Diego García-Gil; Carlos Fernandez-Basso (Comput., 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)

RSPCA: Random Sample Partition and Clustering Approximation for ensemble learning of big data. - Mohammad Sultan Mahmud; Hua Zheng; Diego García-Gil; Salvador García 001; Joshua Zhexue Huang (Pattern Recognit., 2025)

Benchmarking Anomaly Detection Methods: Insights From the UCR Time Series Anomaly Archive. - Francisco J. Baldán; Diego García-Gil (Expert Syst. J. Knowl. Eng., 2025)