41 citations · 62 across the 4 of their papers we have counts for
4 papers
RESISTO Project: Automatic detection of operation temperature anomalies for power electric transformers using thermal imaging
David López-García, Fermín Segovia, Jacob Rodríguez-Rivero +4
The RESISTO project represents a pioneering initiative in Europe aimed at enhancing the resilience of the power grid through the integration of advanced technologies. This includes…
RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena
Jacob Rodríguez-Rivero, David López-García, Fermín Segovia +13
The RESISTO project, a pioneer innovation initiative in Europe, endeavors to enhance the resilience of electrical networks against extreme weather events and associated risks. Emph…
Is K-fold cross validation the best model selection method for Machine Learning?
Juan M Gorriz, R. Martin Clemente, F Segovia +3
As a technique that can compactly represent complex patterns, machine learning has significant potential for predictive inference. K-fold cross-validation (CV) is the most common a…
A connection between the pattern classification problem and the General Linear Model for statistical inference
Juan Manuel Gorriz, SIPBA group, John Suckling
A connection between the General Linear Model (GLM) in combination with classical statistical inference and the machine learning (MLE)-based inference is described in this paper. F…