1 code implementation • Applied Sciences 2021 • Simone Monaco, Salvatore Greco, Alessandro Farasin, Luca Colomba, Daniele Apiletti, Paolo Garza, Tania Cerquitelli, Elena Baralis
In this context, we analyze the burned area severity estimation problem by exploiting a state-of-the-art deep learning framework.
no code implementations • 12 Jun 2021 • Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli
Despite the high accuracy offered by state-of-the-art deep natural-language models (e. g. LSTM, BERT), their application in real-life settings is still widely limited, as they behave like a black-box to the end-user.
no code implementations • 18 Jul 2019 • Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis
To this aim, suitable automatic solutions to self-assess the prediction quality and the data distribution drift between the original training set and the new data have to be devised.