Francisco Herrera

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)

José Javier Valle-Alonso, J. Luengo, S. Damas, 2022, ArXiv.

Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms

Jacinto Carrasco, Irina Markova, Diego Garc'ia, 2021, Neurocomputing.

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

J. Luengo, Marta García-Bárzana, Diego García-Gil, 2023, Inf. Fusion.

Multi-step Histogram Based Outlier Scores for Unsupervised Anomaly Detection: ArcelorMittal Engineering Dataset Case of Study

J. Luengo, Marta García-Bárzana, Diego García-Gil, 2023, Neurocomputing.