4 citations · 16 across the 10 of their papers we have counts for
16 papers
Intelligent tutoring systems by Bayesian nets with noisy gates
Alessandro Antonucci, Francesca Mangili, Claudio Bonesana +1
Directed graphical models such as Bayesian nets are often used to implement intelligent tutoring systems able to interact in real-time with learners in a purely automatic way. When…
Belief Revision in Sentential Decision Diagrams
Lilith Mattei, Alessandro Facchini, Alessandro Antonucci
Belief revision is the task of modifying a knowledge base when new information becomes available, while also respecting a number of desirable properties. Classical belief revision…
Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption
Alessandro Antonucci, Alessandro Facchini, Lilith Mattei
Probabilistic sentential decision diagrams are a class of structured-decomposable probabilistic circuits especially designed to embed logical constraints. To adapt the classical Le…
A New Score for Adaptive Tests in Bayesian and Credal Networks
Alessandro Antonucci, Francesca Mangili, Claudio Bonesana +1
A test is adaptive when its sequence and number of questions is dynamically tuned on the basis of the estimated skills of the taker. Graphical models, such as Bayesian networks, ar…
CREPO: An Open Repository to Benchmark Credal Network Algorithms
Rafael Cabañas, Alessandro Antonucci
Credal networks are a popular class of imprecise probabilistic graphical models obtained as a Bayesian network generalization based on, so-called credal, sets of probability mass f…
Robust Model Checking with Imprecise Markov Reward Models
Alberto Termine, Alessandro Antonucci, Alessandro Facchini +1
In recent years probabilistic model checking has become an important area of research because of the diffusion of computational systems of stochastic nature. Despite its great succ…