Chiara Di Francescomarino | DeepAI

DeepAI AI Chat

Featured Co-authors

Marco Montali
42 publications
Fabrizio Maria Maggi
23 publications
Chiara Ghidini
21 publications
Claudio Di Ciccio
15 publications
Alexander Nolte
12 publications
Riccardo De Masellis
7 publications
Federico Chesani
7 publications
Fredrik Milani
6 publications
Sergio Tessaris
5 publications
Marco Roveri
5 publications
Giacomo Bergami
5 publications

∙ 03/27/2023

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

Recent papers have introduced a novel approach to explain why a Predicti...

0 Williams Rizzi, et al. ∙

∙ 03/16/2023

Recommending the optimal policy by learning to act from temporal data

Prescriptive Process Monitoring is a prominent problem in Process Mining...

0 Stefano Branchi, et al. ∙

∙ 11/09/2022

Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns

Prescriptive Process Monitoring systems recommend, during the execution ...

0 Ivan Donadello, et al. ∙

∙ 10/18/2022

Nirdizati: an Advanced Predictive Process Monitoring Toolkit

Predictive Process Monitoring is a field of Process Mining that aims at ...

0 Williams Rizzi, et al. ∙

∙ 03/29/2022

Learning to act: a Reinforcement Learning approach to recommend the best next activities

The rise of process data availability has led in the last decade to the ...

0 Stefano Branchi, et al. ∙

∙ 03/09/2022

Computing unsatisfiable cores for LTLf specifications

Linear-time temporal logic on finite traces (LTLf) is rapidly becoming a...

0 Marco Roveri, et al. ∙

∙ 02/15/2022

Explainable Predictive Process Monitoring: A User Evaluation

Explainability is motivated by the lack of transparency of black-box Mac...

0 Williams Rizzi, et al. ∙

∙ 11/24/2021

Exploring Business Process Deviance with Sequential and Declarative Patterns

Business process deviance refers to the phenomenon whereby a subset of t...

0 Giacomo Bergami, et al. ∙

∙ 09/30/2021

Process discovery on deviant traces and other stranger things

As the need to understand and formalise business processes into a model ...

0 Federico Chesani, et al. ∙

∙ 09/08/2021

How do I update my model? On the resilience of Predictive Process Monitoring models to change

Existing well investigated Predictive Process Monitoring techniques typi...

0 Williams Rizzi1, et al. ∙

∙ 11/18/2020

What is a Process Model Composed of? A Systematic Literature Review of Meta-Models in BPM

Business process modelling languages typically enable the representation...

0 Greta Adamo, et al. ∙

∙ 10/12/2019

What's My Process Model Composed of? A Systematic Literature Review of Meta-Models in BPM

Business process modelling languages typically enable the representation...

0 Greta Adamo, et al. ∙

∙ 09/27/2019

Verification of data-aware workflows via reachability: formalisation and experiments

The growing adoption of IT-systems for the modelling and execution of (b...

0 Riccardo De Masellis, et al. ∙

∙ 04/11/2018

Incremental Predictive Process Monitoring: How to Deal with the Variability of Real Environments

A characteristic of existing predictive process monitoring techniques is...

0 Chiara Di Francescomarino, et al. ∙

∙ 04/06/2018

Predictive Process Monitoring Methods: Which One Suits Me Best?

Predictive process monitoring has recently gained traction in academia a...

0 Chiara Di Francescomarino, et al. ∙

∙ 06/01/2017

Enhancing workflow-nets with data for trace completion

The growing adoption of IT-systems for modeling and executing (business)...

0 Riccardo De Masellis, et al. ∙

∙ 06/17/2016

Abducing Compliance of Incomplete Event Logs

The capability to store data about business processes execution in so-ca...

0 Federico Chesani, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world