Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms. - Jacinto Carrasco; David López; Ignacio Aguilera-Martos; Diego García-Gil; Irina Markova; Marta García-Bárzana; Manuel Arias-Rodil; Julián Luengo; Francisco Herrera (Neurocomputing, 2021)

TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and Experimental Cases of Study). - Ignacio Aguilera-Martos; Ángel Miguel García-Vico; Julián Luengo; Sergio Damas; Francisco J. Melero 001; José Javier Valle-Alonso; Francisco Herrera (CoRR, 2022)

Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses. - Ignacio Aguilera-Martos; Julián Luengo; Francisco Herrera (HAIS, 2023)

TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning. - Ignacio Aguilera-Martos; Ángel Miguel García-Vico; Julián Luengo; Sergio Damas; Francisco J. Melero 001; José Javier Valle-Alonso; Francisco Herrera (Neurocomputing, 2023)

Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study. - Ignacio Aguilera-Martos; Marta García-Bárzana; Diego García-Gil; Jacinto Carrasco; David López; Julián Luengo; Francisco Herrera (Neurocomputing, 2023)

Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series. - David López; Ignacio Aguilera-Martos; Marta García-Bárzana; Francisco Herrera; Diego García-Gil; Julián Luengo (Inf. Fusion, 2023)

Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting. - Ignacio Aguilera-Martos; Andrés Herrera-Poyatos; Julián Luengo; Francisco Herrera (IJCNN, 2024)

Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting. - Ignacio Aguilera-Martos; Andrés Herrera-Poyatos; Julián Luengo; Francisco Herrera (CoRR, 2024)

FLEX: Flexible Federated Learning Framework. - Francisco Herrera; Daniel Jiménez-López; Alberto Argente-Garrido; Nuria Rodríguez Barroso; Cristina Zuheros; Ignacio Aguilera-Martos; Beatriz Bello; Mario García-Márquez; María Victoria Luzón (Inf. Fusion, 2025)

Developing Big Data anomaly dynamic and static detection algorithms: AnomalyDSD spark package. - Diego García-Gil; David López; Daniel Argüelles-Martino; Jacinto Carrasco; Ignacio Aguilera-Martos; Julián Luengo; Francisco Herrera (Inf. Sci., 2025)