most citedAI and the creative realm: A short review of current and future applications

8 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2023

Using Staged Tree Models for Health Data: Investigating Invasive Fungal Infections by Aspergillus and Other Filamentous Fungi

Maria Teresa Filigheddu, Manuele Leonelli, Gherardo Varando +4

Machine learning models are increasingly used in the medical domain to study the association between risk factors and diseases to support practitioners in predicting health outcome…

cs.AI20238 cited

AI and the creative realm: A short review of current and future applications

Fabio Crimaldi, Manuele Leonelli

This study explores the concept of creativity and artificial intelligence (AI) and their recent integration. While AI has traditionally been perceived as incapable of generating ne…

stat.ME2023

The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks

Rafael Ballester-Ripoll, Manuele Leonelli

Sensitivity analysis measures the influence of a Bayesian network's parameters on a quantity of interest defined by the network, such as the probability of a variable taking a spec…

cs.AI2016

Directed expected utility networks

Manuele Leonelli, Jim Q. Smith

A variety of statistical graphical models have been defined to represent the conditional independences underlying a random vector of interest. Similarly, many different graphs embe…

cs.AI2016

A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams

Manuele Leonelli, Eva Riccomagno, Jim Q. Smith

Influence diagrams provide a compact graphical representation of decision problems. Several algorithms for the quick computation of their associated expected utilities are availabl…