Tesi

Francesco Carella. Development of an interpretability approach for machine learning in the context of non-destructive material classification based on magnetic Barkhausen noise. Rel. Giovanni Bracco, Marco Becker. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2021