Diego Jesús García Gil
Contacto
djgarcia@decsai.u9QAVoigr.es
Organismo
UGR| Total | Desde 2019: | |
|---|---|---|
| Citas | Total: 936 | Desde 2019: 904 |
| Índice H | Total: 10 | Desde 2019: 10 |
| Índice i10 | Total: 11 | Desde 2019: 11 |
Publicaciones (31)
| Título | Autores | Año |
|---|---|---|
| Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy | JJ Escobar, J López-Rodríguez, D García-Gil, R Morcillo-Jiménez, .... | 2024 |
| Developing Big Data Anomaly Dynamic and Static Detection Algorithms: AnomalyDSD Spark Package | D García-Gil, D López, D Argüelles-Martino, J Carrasco, I Aguilera-Martos, .... | 2024 |
| Benchmarking Anomaly Detection Methods: Insights from the UCR Time Series Anomaly Archive | FJ Baldán, D García-Gil. | 2024 |
| Multi-step Histogram Based Outlier Scores for Unsupervised Anomaly Detection: ArcelorMittal Engineering Dataset Case of Study | I Aguilera-Martos, M García-Barzana, D García-Gil, J Carrasco, D López, .... | 2023 |
| Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series | D López, I Aguilera-Martos, M García-Barzana, F Herrera, D García-Gil, .... | 2023 |
| Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms | J Carrasco, I Markova, D López, I Aguilera, D García, M García-Barzana, .... | 2021 |
| Smart Data based Ensemble for Imbalanced Big Data Classification | D García-Gil, J Holmberg, S García, N Xiong, F Herrera. | 2020 |
| Big Data: Technologies and Tools | J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. | 2020 |
| Smart Data | J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. | 2020 |
| Final Thoughts: From Big Data to Smart Data | J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. | 2020 |
| Big Data Discretization | J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. | 2020 |
| Imbalanced Data Preprocessing for Big Data | J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. | 2020 |
| Big Data Software | J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. | 2020 |
| Dimensionality Reduction for Big Data | J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. | 2020 |
| Data Reduction for Big Data | J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. | 2020 |
| Big Data Preprocessing: Enabling Smart Data | J Luengo. | 2020 |
| Imperfect Big Data | J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. | 2020 |
| Big Data ensembles for classification and Smart Data extraction | DJ García Gil. | 2020 |
| Big data preprocessing | J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. | 2020 |
| Smart Data driven Decision Trees Ensemble Methodology for Imbalanced Big Data | D García-Gil, S García, N Xiong, F Herrera. | 2020 |
| Enabling smart data: noise filtering in big data classification | D García-Gil, J Luengo, S García, F Herrera. | 2019 |
| Transforming big data into smart data: An insight on the use of the k‐nearest neighbors algorithm to obtain quality data | I Triguero, D García‐Gil, J Maillo, J Luengo, S García, F Herrera. | 2019 |
| DPASF: a flink library for streaming data preprocessing | A Alcalde-Barros, D García-Gil, S García, F Herrera. | 2019 |
| A First Approach on Big Data Missing Values Imputation | B Montesdeoca, J Luengo, J Maillo, D García-Gil, S García, F Herrera. | 2019 |
| From Big to Smart Data: Iterative Ensemble Filter for Noise Filtering in Big Data classification | FH Diego Garcia, Francisco Luque-Sánchez, Julián Luengo, Salvador García. | 2019 |
| Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries | D Garcıa-Gil, A Alcalde-Barros, J Luengo, S Garcıa, F Herrera. | 2019 |
| Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries. | D García-Gil, A Alcalde-Barros, J Luengo, S García, F Herrera. | 2019 |
| MRQAR: a generic MapReduce framework to discover Quantitative Association Rules in Big Data problems | D Martin, M Martinez-Ballesteros, D Garcia-Gil, J Alcala-Fdez, .... | 2018 |
| Principal components analysis random discretization ensemble for big data | D García-Gil, S Ramírez-Gallego, S García, F Herrera. | 2018 |
| On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data | D García-Gil, S Ramírez-Gallego, S García, F Herrera. | 2018 |
| Bagging-RandomMiner-Un Algoritmo en MapReduce para Deteccion de Anomalıas en Big Data | L Pereyra, D Garcıa-Gil, F Herrera, LC González-Gurrola, J Carrasco, .... | 2018 |
| Smart Data: Filtrado de Ruido para Big Data | DJG Gil, J Luengo, SG Gil, F Herrera. | 2018 |
| A comparison on scalability for batch big data processing on Apache Spark and Apache Flink | D García-Gil, S Ramírez-Gallego, S García, F Herrera. | 2017 |
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