18 citations · 25 across the 5 of their papers we have counts for
7 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…
Logic Negation with Spiking Neural P Systems
Daniel Rodríguez-Chavarría, Miguel A. Gutiérrez-Naranjo, Joaquín Borrego-Díaz
Nowadays, the success of neural networks as reasoning systems is doubtless. Nonetheless, one of the drawbacks of such reasoning systems is that they work as black-boxes and the acq…
A logic-algebraic tool for reasoning with Knowledge-Based Systems
José A. Alonso-Jiménez, Gonzalo A. Aranda-Corral, Joaquín Borrego-Díaz +2
A detailed exposition of foundations of a logic-algebraic model for reasoning with knowledge bases specified by propositional (Boolean) logic is presented. The model is conceived f…
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…
Selecting Attributes for Sport Forecasting using Formal Concept Analysis
Gonzalo A. Aranda-Corral, Joaquín Borrego-Díaz, Juan Galán-Páez
In order to address complex systems, apply pattern recongnition on their evolution could play an key role to understand their dynamics. Global patterns are required to detect emerg…