1 code implementation • 7 Mar 2023 • Alessandro Basile, Riccardo Crupi, Michele Grasso, Alessandro Mercanti, Daniele Regoli, Simone Scarsi, Shuyi Yang, Andrea Cosentini
Moreover, we show that Active Learning prioritisation is indeed helpful when labelling resources are limited, and let the learning models reach the out-of-sample performance saturation with less labelled data with respect to standard (random) data labelling approaches.
1 code implementation • 13 Sep 2022 • Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli, Andrea Cosentini
Machine learning applications are becoming increasingly pervasive in our society.