113 citations · 150 across the 12 of their papers we have counts for
3 papers · 1 filter
Hard and Soft EM in Bayesian Network Learning from Incomplete Data
Andrea Ruggieri, Francesco Stranieri, Fabio Stella +1
Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their grap…
A Constraint-Based Algorithm for the Structural Learning of Continuous-Time Bayesian Networks
Alessandro Bregoli, Marco Scutari, Fabio Stella
Dynamic Bayesian networks have been well explored in the literature as discrete-time models: however, their continuous-time extensions have seen comparatively little attention. In…
Investigating the Compositional Structure Of Deep Neural Networks
Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi +2
The current understanding of deep neural networks can only partially explain how input structure, network parameters and optimization algorithms jointly contribute to achieve the s…