18 citations · 23 across the 4 of their papers we have counts for
4 papers
D3A-TS: Denoising-Driven Data Augmentation in Time Series
David Solis-Martin, Juan Galan-Paez, Joaquin Borrego-Diaz
It has been demonstrated that the amount of data is crucial in data-driven machine learning methods. Data is always valuable, but in some tasks, it is almost like gold. This occurs…
On the Soundness of XAI in Prognostics and Health Management (PHM)
David Solís-Martín, Juan Galán-Páez, Joaquín Borrego-Díaz
The aim of Predictive Maintenance, within the field of Prognostics and Health Management (PHM), is to identify and anticipate potential issues in the equipment before these become…
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine
David Solis-Martin, Juan Galan-Paez, Joaquin Borrego-Diaz
This paper presents the data-driven techniques and methodologies used to predict the remaining useful life (RUL) of a fleet of aircraft engines that can suffer failures of diverse…
Discovering New Sentiments from the Social Web
Juan Galan-Paez, Joaquín Borrego-Díaz
A persistent challenge in Complex Systems (CS) research is the phenomenological reconstruction of systems from raw data. In order to face the problem, the use of sound features to…