14 citations · 20 across the 4 of their papers we have counts for
5 papers
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…
Nirdizati: an Advanced Predictive Process Monitoring Toolkit
Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini +1
Predictive Process Monitoring is a field of Process Mining that aims at predicting how an ongoing execution of a business process will develop in the future using past process exec…
Explainable Predictive Process Monitoring: A User Evaluation
Williams Rizzi, Marco Comuzzi, Chiara Di Francescomarino +4
Explainability is motivated by the lack of transparency of black-box Machine Learning approaches, which do not foster trust and acceptance of Machine Learning algorithms. This also…
Explainable Predictive Process Monitoring
Riccardo Galanti, Bernat Coma-Puig, Massimiliano de Leoni +2
Predictive Business Process Monitoring is becoming an essential aid for organizations, providing online operational support of their processes. This paper tackles the fundamental p…
Incremental Predictive Process Monitoring: How to Deal with the Variability of Real Environments
Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi +2
A characteristic of existing predictive process monitoring techniques is to first construct a predictive model based on past process executions, and then use it to predict the futu…