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 | 120 | 2018 |
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 | 120* | 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 | 76 | 2020 |
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 | 63 | 2016 |
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 | 20 | 2019 |
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 | 19 | 2022 |
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 | 12 | 2015 |
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 | 10 | 2022 |
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 | 7 | 2018 |
Nirdizati: an advanced predictive process monitoring toolkit W Rizzi, C Di Francescomarino, C Ghidini, FM Maggi arXiv preprint arXiv:2210.09688, 2022 | 3 | 2022 |
Integrating Explainable Machine Learning and Predictive Process Monitoring W Rizzi Proceedings of the Dissertation Award, Doctoral Consortium, and …, 2021 | 3 | 2021 |
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 | 2 | 2022 |
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 | 1 | 2023 |
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 |
Nirdizati Light: A Modular Framework for Explainable Predictive Process Monitoring A Buliga, R Graziosi, C Di Francescomarino, C Ghidini, FM Maggi, ... | | 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 | | |