Search Results for author: Federico Chesani

Found 7 papers, 2 papers with code

Enabling Synthetic Data adoption in regulated domains

no code implementations13 Apr 2022 Giorgio Visani, Giacomo Graffi, Mattia Alfero, Enrico Bagli, Davide Capuzzo, Federico Chesani

From a prescriptive viewpoint, eventually, DAISYnt may pave the way to synthetic data adoption in highly regulated domains, ranging from Finance to Healthcare, through Insurance and Education.

Process discovery on deviant traces and other stranger things

no code implementations30 Sep 2021 Federico Chesani, Chiara Di Francescomarino, Chiara Ghidini, Daniela Loreti, Fabrizio Maria Maggi, Paola Mello, Marco Montali, Sergio Tessaris

As the need to understand and formalise business processes into a model has grown over the last years, the process discovery research field has gained more and more importance, developing two different classes of approaches to model representation: procedural and declarative.

Explanations of Machine Learning predictions: a mandatory step for its application to Operational Processes

no code implementations30 Dec 2020 Giorgio Visani, Federico Chesani, Enrico Bagli, Davide Capuzzo, Alessandro Poluzzi

Recently, also machine and deep learning techniques have been applied to the CRM task, showing an important increase in prediction quality and performances.

BIG-bench Machine Learning

OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms

1 code implementation10 Jun 2020 Giorgio Visani, Enrico Bagli, Federico Chesani

In this paper, we highlight a trade-off between explanation's stability and adherence, namely how much it resembles the ML model.

feature selection

Abducing Compliance of Incomplete Event Logs

no code implementations17 Jun 2016 Federico Chesani, Riccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini, Paola Mello, Marco Montali, Sergio Tessaris

The capability to store data about business processes execution in so-called Event Logs has brought to the diffusion of tools for the analysis of process executions and for the assessment of the goodness of a process model.

Multi-Criteria Optimal Planning for Energy Policies in CLP

no code implementations15 May 2014 Marco Gavanelli, Stefano Bragaglia, Michela Milano, Federico Chesani, Elisa Marengo, Paolo Cagnoli

In the policy making process a number of disparate and diverse issues such as economic development, environmental aspects, as well as the social acceptance of the policy, need to be considered.

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