179 citations · 224 across the 5 of their papers we have counts for
5 papers
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs
Pietro Bongini, Elisa Messori, Niccolò Pancino +1
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. Automatic predictor…
Is GPT-3 all you need for Visual Question Answering in Cultural Heritage?
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, i…
Modular multi-source prediction of drug side-effects with DruGNN
Pietro Bongini, Franco Scarselli, Monica Bianchini +3
Drug Side-Effects (DSEs) have a high impact on public health, care system costs, and drug discovery processes. Predicting the probability of side-effects, before their occurrence,…
Molecular graph generation with Graph Neural Networks
Pietro Bongini, Monica Bianchini, Franco Scarselli
Drug Discovery is a fundamental and ever-evolving field of research. The design of new candidate molecules requires large amounts of time and money, and computational methods are b…
Visual Question Answering for Cultural Heritage
Pietro Bongini, Federico Becattini, Andrew D. Bagdanov +1
Technology and the fruition of cultural heritage are becoming increasingly more entwined, especially with the advent of smart audio guides, virtual and augmented reality, and inter…