Publicaciones en las que colabora con JULIÁN LUENGO MARTÍN (87)

2025

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

    Information Sciences, Vol. 690

2024

  1. Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting

    Proceedings of the International Joint Conference on Neural Networks

  2. On the Suitability of Fuzzy Rule-Based Classification Systems with Noisy Data

    IEEE Transactions on Fuzzy Systems

2023

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

    Information Fusion, Vol. 100

  2. Low-Impact Feature Reduction regularization term: How to improve Artificial Intelligence with Explainability

    CEUR Workshop Proceedings

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

    Neurocomputing, Vol. 544

  4. Optimizing LIME Explanations Using REVEL Metrics

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

  5. REVEL Framework to Measure Local Linear Explanations for Black-Box Models: Deep Learning Image Classification Case Study

    International Journal of Intelligent Systems, Vol. 2023

  6. Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses

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

  7. TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning

    Neurocomputing, Vol. 517, pp. 223-228

2022

  1. A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges

    Information Fusion

2021

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

    Neurocomputing, Vol. 462, pp. 440-452

  2. Multiple instance classification: Bag noise filtering for negative instance noise cleaning

    Information Sciences, Vol. 579, pp. 388-400

2020

  1. Big Data Preprocessing: Enabling Smart Data

    Springer International Publishing, pp. 1-186

  2. COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images

    IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 12, pp. 3595-3605

  3. Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data

    IEEE Transactions on Fuzzy Systems, Vol. 28, Núm. 5, pp. 874-886

  4. Preprocessing methodology for time series: An industrial world application case study

    Information Sciences, Vol. 514, pp. 385-401

2019

  1. 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

  2. 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

  3. Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks

    Knowledge-Based Systems, Vol. 184