Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms J Carrasco, D López, I Aguilera-Martos, D García-Gil, I Markova, ... Neurocomputing 462, 440-452, 2021 | 47 | 2021 |
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, ... Neurocomputing 544, 126228, 2023 | 12 | 2023 |
TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning I Aguilera-Martos, ÁM García-Vico, J Luengo, S Damas, FJ Melero, ... Neurocomputing 517, 223-228, 2023 | 12* | 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, ... Information Fusion 100, 101957, 2023 | 7 | 2023 |
Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses I Aguilera-Martos, J Luengo, F Herrera International Conference on Hybrid Artificial Intelligence Systems, 39-48, 2023 | 1 | 2023 |
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, ... Information Sciences, 121587, 2024 | | 2024 |
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting I Aguilera-Martos, A Herrera-Poyatos, J Luengo, F Herrera arXiv preprint arXiv:2410.03805, 2024 | | 2024 |
Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting I Aguilera-Martos, A Herrera-Poyatos, J Luengo, F Herrera 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
FLEX: FLEXible Federated Learning Framework F Herrera, D Jiménez-López, A Argente-Garrido, N Rodríguez-Barroso, ... arXiv preprint arXiv:2404.06127, 2024 | | 2024 |