1 citations · 1 across the 2 of their papers we have counts for
3 papers
Inpainting in discrete Sobolev spaces: structural information for uncertainty reduction
Marco Seracini, Stephen R. Brown
In this article, using an exemplar-based approach, we investigate the inpainting problem, introducing a new mathematical functional, whose minimization determines the quality of th…
Bayesian Neural Networks for Geothermal Resource Assessment: Prediction with Uncertainty
Stephen Brown, William L. Rodi, Marco Seracini +5
We consider the application of machine learning to the evaluation of geothermal resource potential. A supervised learning problem is defined where maps of 10 geological and geophys…
Detection of thermal bridges from thermographic images for the analysis of buildings energy performance
Francesco Asdrubali, Giorgio Baldinelli, Francesco Bianchi +4
In this paper, we develop a procedure for the detection of the contours of thermal bridges from thermographic images, in order to study the energetic performance of buildings. Two…