99 citations · 143 across the 17 of their papers we have counts for
9 papers · 1 filter
An Optimal Control Approach to Learning in SIDARTHE Epidemic model
Andrea Zugarini, Enrico Meloni, Alessandro Betti +3
The COVID-19 outbreak has stimulated the interest in the proposal of novel epidemiological models to predict the course of the epidemic so as to help planning effective control str…
Gravitational Models Explain Shifts on Human Visual Attention
Dario Zanca, Marco Gori, Stefano Melacci +1
Visual attention refers to the human brain's ability to select relevant sensory information for preferential processing, improving performance in visual and cognitive tasks. It pro…
Developing Constrained Neural Units Over Time
Alessandro Betti, Marco Gori, Simone Marullo +1
In this paper we present a foundational study on a constrained method that defines learning problems with Neural Networks in the context of the principle of least cognitive action,…
An Overview on the Web of Clinical Data
Marco Gori
In the last few years there has been an impressive growth of connections between medicine and artificial intelligence (AI) that have been characterized by the specific focus on sin…
Focus of Attention Improves Information Transfer in Visual Features
Matteo Tiezzi, Stefano Melacci, Alessandro Betti +2
Unsupervised learning from continuous visual streams is a challenging problem that cannot be naturally and efficiently managed in the classic batch-mode setting of computation. The…
Relational Neural Machines
Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini +2
Deep learning has been shown to achieve impressive results in several tasks where a large amount of training data is available. However, deep learning solely focuses on the accurac…