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researcher

Fabrizio Maria Maggi

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.LO1
ORCID 0000-0002-9089-6896

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedBusiness Process Deviance Mining: Review and Evaluation

14 citations · 17 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LO2023

Enjoy the Silence: Analysis of Stochastic Petri Nets with Silent Transitions

Sander J. J. Leemans, Fabrizio M. Maggi, Marco Montali

Capturing stochastic behaviors in business and work processes is essential to quantitatively understand how nondeterminism is resolved when taking decisions within the process. Thi…

cs.LG2023

Explain, Adapt and Retrain: How to improve the accuracy of a PPM classifier through different explanation styles

Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini +1

Recent papers have introduced a novel approach to explain why a Predictive Process Monitoring (PPM) model for outcome-oriented predictions provides wrong predictions. Moreover, the…

cs.AI2016★ 14 cited

Business Process Deviance Mining: Review and Evaluation

Hoang Nguyen, Marlon Dumas, Marcello La Rosa +2

Business process deviance refers to the phenomenon whereby a subset of the executions of a business process deviate, in a negative or positive way, with respect to its expected or…

cs.AI2014★ 3 cited

LTLf and LDLf Monitoring: A Technical Report

Giuseppe De Giacomo, Riccardo De Masellis, Marco Grasso +2

Runtime monitoring is one of the central tasks to provide operational decision support to running business processes, and check on-the-fly whether they comply with constraints and…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.