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Williams Rizzi
Williams Rizzi
PhD Student in Computer Science joint position at UNIBZ and FBK
Verified email at fbk.eu
Title
Cited by
Cited by
Year
Genetic algorithms for hyperparameter optimization in predictive business process monitoring
C Di Francescomarino, M Dumas, M Federici, C Ghidini, FM Maggi, ...
Information Systems 74, 67-83, 2018
982018
Combining natural language processing approaches for rule extraction from legal documents
M Dragoni, S Villata, W Rizzi, G Governatori
AI Approaches to the Complexity of Legal Systems, 287-300, 2015
89*2015
Predictive business process monitoring framework with hyperparameter optimization
C Di Francescomarino, M Dumas, M Federici, C Ghidini, FM Maggi, ...
Advanced Information Systems Engineering: 28th International Conference …, 2016
612016
Explainability in predictive process monitoring: when understanding helps improving
W Rizzi, C Di Francescomarino, FM Maggi
International Conference on Business Process Management, 141-158, 2020
502020
Nirdizati 2.0: New Features and Redesigned Backend
W Rizzi, L Simonetto, C Di Francescomarino, C Ghidini, T Kasekamp, ...
Proceedings of the Dissertation Award, Doctoral Consortium, and …, 2019
152019
How do I update my model? On the resilience of Predictive Process Monitoring models to change
W Rizzi, C Di Francescomarino, C Ghidini, FM Maggi
Knowledge and Information Systems 64 (5), 1385-1416, 2022
112022
A ProM operational support provider for predictive monitoring of business processes
M Federici, W Rizzi, C Di Francescomarino, M Dumas, C Ghidini, ...
Proceedings of the BPM Demo Session 2015; Co-located with the 13th …, 2015
102015
Explainable predictive process monitoring: a user evaluation
W Rizzi, M Comuzzi, C Di Francescomarino, C Ghidini, S Lee, FM Maggi, ...
arXiv preprint arXiv:2202.07760, 2022
62022
Incremental predictive process monitoring: How to deal with the variability of real environments
C Di Francescomarino, C Ghidini, FM Maggi, W Rizzi, CD Persia
arXiv preprint arXiv:1804.03967, 2018
62018
Nirdizati: an Advanced Predictive Process Monitoring Toolkit
W Rizzi, C Di Francescomarino, C Ghidini, FM Maggi
arXiv preprint arXiv:2210.09688, 2022
22022
Making sense of temporal data: the DECLARE encoding
C Di Francescomarino, I Donadello, C Ghidini, FM Maggi, W Rizzi
Proceedings of Workshop on Process Management in the AI Era (PMAI 2022) co …, 2022
22022
Integrating Explainable Machine Learning and Predictive Process Monitoring
W Rizzi
Proceedings of the Dissertation Award, Doctoral Consortium, and …, 2021
22021
Explain, Adapt and Retrain: How to improve the accuracy of a PPM classifier through different explanation styles
W Rizzi, C Di Francescomarino, C Ghidini, FM Maggi
arXiv preprint arXiv:2303.14939, 2023
2023
Predictive Process Monitoring: From Theory to Practice
C Di Francescomarino, C Ghidini, FM Maggi, W Rizzi
BPM2020 12168, xxxvi-xxxvii, 2020
2020
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