66 citations · 66 across the 2 of their papers we have counts for
2 papers
cs.NE2022
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 M. García-Vico, Julián Luengo +4
The combination of convolutional and recurrent neural networks is a promising framework that allows the extraction of high-quality spatio-temporal features together with its tempor…
cs.LG2021★ 66 cited
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms
Jacinto Carrasco, Irina Markova, David López +6
The research in anomaly detection lacks a unified definition of what represents an anomalous instance. Discrepancies in the nature itself of an anomaly lead to multiple paradigms o…