2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AI2025
Graph-based Event Log Repair
Sebastiano Dissegna, Chiara Di Francescomarino, Massimiliano Ronzani
The quality of event logs in Process Mining is crucial when applying any form of analysis to them. In real-world event logs, the acquisition of data can be non-trivial (e.g., due t…
cs.ET2022★ 2 cited
Reconstructing Bayesian Networks on a Quantum Annealer
Enrico Zardini, Massimo Rizzoli, Sebastiano Dissegna +2
Bayesian networks are widely used probabilistic graphical models, whose structure is hard to learn starting from the generated data. O'Gorman et al. have proposed an algorithm to e…