10 citations · 12 across the 3 of their papers we have counts for
3 papers
Asynchronous Distributed Learning from Constraints
Francesco Farina, Stefano Melacci, Andrea Garulli +1
In this paper, the extension of the framework of Learning from Constraints (LfC) to a distributed setting where multiple parties, connected over the network, contribute to the lear…
Jointly Learning to Detect Emotions and Predict Facebook Reactions
Lisa Graziani, Stefano Melacci, Marco Gori
The growing ubiquity of Social Media data offers an attractive perspective for improving the quality of machine learning-based models in several fields, ranging from Computer Visio…
Learning to see like children: proof of concept
Marco Gori, Marco Lippi, Marco Maggini +1
In the last few years we have seen a growing interest in machine learning approaches to computer vision and, especially, to semantic labeling. Nowadays state of the art systems use…