Diego Jesús García Gil

Universidad de Granada

Publicaciones

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

Information Sciences

2025
journal-article

10.1016/j.ins.2024.121587

Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems

Computation

2025
journal-article

10.3390/computation13060132

WinStat: A Family of Trainable Positional Encodings for Transformers in Time Series Forecasting

Machine Learning and Knowledge Extraction

2025
journal-article

10.3390/make8010007

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2024
book-chapter

10.1007/978-3-031-64629-4_6

Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data

Cognitive Computation

2024
journal-article

10.1007/s12559-024-10295-z

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

Information Fusion

2023
journal-article

10.1016/j.inffus.2023.101957

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

Neurocomputing

2023
journal-article

10.1016/j.neucom.2023.126228

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

Neurocomputing

2021
journal-article

10.1016/j.neucom.2021.07.095

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

arXiv

2021
other

10.48550/arxiv.2105.12818

Smart data driven decision trees ensemble methodology for imbalanced big data

arXiv

2020
other

10.48550/arxiv.2001.05759

A first approach on big data missing values imputation

IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security

2019
conference-paper

Big data preprocessing as the bridge between big data and smart data: Bigdapspark and Bigdapflink libraries

IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security

2019
conference-paper

Enabling Smart Data: Noise filtering in Big Data classification

Information Sciences

2019
journal-article

10.1016/j.ins.2018.12.002

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

International Journal of Intelligent Systems

2019
journal-article

10.1002/int.22193

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

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

2019
journal-article

10.1002/widm.1289

DPASF: A flink library for streaming data preprocessing

arXiv

2018
other

10.48550/arxiv.1810.06021

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

Knowledge-Based Systems

2018
journal-article

10.1016/j.knosys.2018.04.037

On the use of random discretization and dimensionality reduction in ensembles for big data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018
journal-article

10.1007/978-3-319-92639-1_2

Principal Components Analysis Random Discretization Ensemble for Big Data

Knowledge-Based Systems

2018
journal-article

10.1016/j.knosys.2018.03.012

A comparison on scalability for batch big data processing on Apache Spark and Apache Flink

Big Data Analytics

2017
journal-article

10.1186/S41044-016-0020-2

Enabling smart data: Noise filtering in big data classification

arXiv

2017
other

10.48550/arxiv.1704.01770

Contacto

djgarcia@decsai.ugr.es