no code implementations • 22 Mar 2020 • Pietro Bongini, Federico Becattini, Andrew D. Bagdanov, Alberto del Bimbo
This will turn the classic audio guide into a smart personal instructor with which the visitor can interact by asking for explanations focused on specific interests.
no code implementations • 14 Dec 2020 • Pietro Bongini, Monica Bianchini, Franco Scarselli
The use of graph neural networks maximizes the information in input at each generative step, which consists of the subgraph produced during the previous steps.
no code implementations • 15 Feb 2022 • Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Liò
Drug Side-Effects (DSEs) have a high impact on public health, care system costs, and drug discovery processes.
no code implementations • 25 Jul 2022 • Pietro Bongini, Federico Becattini, Alberto del Bimbo
The use of Deep Learning and Computer Vision in the Cultural Heritage domain is becoming highly relevant in the last few years with lots of applications about audio smart guides, interactive museums and augmented reality.
no code implementations • 30 Nov 2022 • Pietro Bongini, Elisa Messori, Niccolò Pancino, Monica Bianchini
Predicting drug side-effects before they occur is a key task in keeping the number of drug-related hospitalizations low and to improve drug discovery processes.