| 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 | 75 | 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 | 26 | 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 Garcia-Gil, ... Information Fusion 100, 101957, 2023 | 24 | 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 | 20* | 2023 |
| Flex: Flexible federated learning framework F Herrera, D Jiménez-López, A Argente-Garrido, N Rodríguez-Barroso, ... Information Fusion 117, 102792, 2025 | 9 | 2025 |
| 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 | 6 | 2024 |
| 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 | 5 | 2023 |
| Developing Big Data anomaly dynamic and static detection algorithms: AnomalyDSD spark package D Garcia-Gil, D Lopez, D Argüelles-Martino, J Carrasco, I Aguilera-Martos, ... Information Sciences 690, 121587, 2025 | 3 | 2025 |
| 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 | 2 | 2024 |
| DenoGrad: Deep Gradient Denoising Framework for Enhancing the Performance of Interpretable AI Models JJ Alonso-Ramos, I Aguilera-Martos, A Herrera-Poyatos, F Herrera arXiv preprint arXiv:2511.10161, 2025 | | 2025 |
| WinStat: A Family of Trainable Positional Encodings for Transformers in Time Series Forecasting C Moya-Mota, I Aguilera-Martos, D García-Gil, J Luengo Preprints, 2025 | | 2025 |
| Modelos de Aprendizaje Profundo y Transformers para Series Temporales. Detección de anomalías I Aguilera Martos Universidad de Granada, 2025 | | 2025 |
| FLEX: Flexible Federated Learning Framework F Herrera Triguero, D Jiménez López, A Argente-Garrido, ... Elsevier, 2025 | | 2025 |
| Valoración de Anomalías Multi-paso Basada en Histogramas para Detección de Anomalías no Supervisada I Aguilera-Martos, M García-Barzana, D García-Gil, J Carrasco, D López, ... Congreso Asociación Española de Inteligencia Artificial, 685-691, 2021 | | 2021 |
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainVerified email at decsai.ugr.es
