2 papers
cs.LG2021
DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss
Jokin Labaien, Ekhi Zugasti, Xabier De Carlos
Deep Learning has become a very valuable tool in different fields, and no one doubts the learning capacity of these models. Nevertheless, since Deep Learning models are often seen…
cs.LG2020
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect
Oscar Serradilla, Ekhi Zugasti, Urko Zurutuza
Given the growing amount of industrial data spaces worldwide, deep learning solutions have become popular for predictive maintenance, which monitor assets to optimise maintenance t…