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Williams Rizzi
Williams Rizzi
Machine Learning Engineer at Nexoya | PhD in Computer Science
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
1162018
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
113*2015
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
672020
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
632016
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
192019
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
182022
A ProM Operational Support Provider for Predictive Monitoring of Business Processes.
M Federici, W Rizzi, C Di Francescomarino, M Dumas, C Ghidini, ...
BPM (Demos), 1-5, 2015
122015
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
92022
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
72018
Nirdizati: an advanced predictive process monitoring toolkit
W Rizzi, C Di Francescomarino, C Ghidini, FM Maggi
arXiv preprint arXiv:2210.09688, 2022
32022
Integrating Explainable Machine Learning and Predictive Process Monitoring
W Rizzi
Proceedings of the Dissertation Award, Doctoral Consortium, and …, 2021
32021
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
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
12023
Making Sense of Temporal Event Data: A Framework for Comparing Techniques for the Discovery of Discriminative Temporal Patterns
C Di Francescomarino, I Donadello, C Ghidini, FM Maggi, W Rizzi, ...
International Conference on Advanced Information Systems Engineering, 423-439, 2024
2024
Making Predictive Process Monitoring useful: insights from different perspectives
W Rizzi, C Di Francescomarino, C Ghidini, FM Maggi
Free University of Bozen-Bolzano, 2023
2023
Predictive Process Monitoring: From Theory to Practice
C Di Francescomarino, C Ghidini, FM Maggi, W Rizzi
BPM2020 12168, xxxvi-xxxvii, 2020
2020
Check for Making Sense of Temporal Event Data: A Framework for Comparing Techniques for the Discovery of Discriminative Temporal Patterns
FM Maggi, W Rizzi, S Tessaris
Advanced Information Systems Engineering: 36th International Conference …, 0
Explainable Predictive Process Monitoring
FM Maggi, W Rizzi, C Di Francescomarino
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