Massimiliano Ronzani

According to our database, Massimiliano Ronzani authored at least 24 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning optimal policies from event logs through reinforcement learning: A comparison of deep and MDP-based approaches.

Stefano Branchi, Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Riccardo Graziosi, Francesca Meneghello, Massimiliano Ronzani

Inf. Syst., 2026

Balancing KPIs Through Multi-objective Prescriptive Process Analytics.

Ngoc-Diem Le, Andrei Buliga, Massimiliano Ronzani, Alessandro Padella, Massimiliano de Leoni

Proceedings of the Advanced Information Systems Engineering, 2026

Graph-Based Event Log Repair.

Sebastiano Dissegna, Chiara Di Francescomarino, Massimiliano Ronzani

Proceedings of the Advanced Information Systems Engineering, 2026

An Overview on Predictive and Prescriptive Process Monitoring.

Chiara Di Francescomarino, Chiara Ghidini, Massimiliano Ronzani, Alessandro Sperduti

Proceedings of the Mining a Scientist's Process, 2026

2025

Robust solutions via optimisation and predictive process monitoring for the scheduling of the interventional radiology procedures.

Matteo Di Cunzolo, Massimiliano Ronzani, Roberto Aringhieri, Chiara Di Francescomarino, Chiara Ghidini, Alberto Guastalla, Emilio Sulis

Int. Trans. Oper. Res., July, 2025

Generating multiperspective process traces using conditional variational autoencoders.

Riccardo Graziosi, Massimiliano Ronzani, Andrei Buliga, Chiara Di Francescomarino, Francesco Folino, Chiara Ghidini, Francesca Meneghello, Luigi Pontieri

Process Sci., 2025

Improve Hospital Management Through Process Mining, Optimization, and Simulation: the CH4I-PM Project.

Massimiliano Ronzani, Emilio Sulis

Künstliche Intell., 2025

Runtime integration of machine learning and simulation for business processes: Time and decision mining predictions.

Francesca Meneghello, Chiara Di Francescomarino, Chiara Ghidini, Massimiliano Ronzani

Inf. Syst., 2025

Outcome-oriented local explanation using context-aware process patterns.

Mozhgan Vazifehdoostirani, Andrei Buliga, Laura Genga, Chiara Di Francescomarino, Massimiliano Ronzani, Chiara Ghidini, Remco M. Dijkman

Eng. Appl. Artif. Intell., 2025

Multi-perspective Next Event Prediction in PPM via Heterogeneous Graph Neural Networks.

Sebastiano Dissegna, Chiara Di Francescomarino, Massimiliano Ronzani

Proceedings of the Research Challenges in Information Science, 2025

T-ILR: a Neurosymbolic Integration for LTLf.

Riccardo Andreoni, Andrei Buliga, Alessandro Daniele, Chiara Ghidini, Marco Montali, Massimiliano Ronzani

Proceedings of The 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), 2025

Proactive Data-driven Scheduling of Business Processes.

Francesca Meneghello, Arik Senderovich, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Enhanced What-If Scenarios Generation by Bridging Generative Models and Process Simulation.

Andrei Buliga, Francesca Meneghello, Riccardo Graziosi, Massimiliano Ronzani

Proceedings of the 7th International Conference on Process Mining, 2025

Generating Counterfactual Explanations Under Temporal Constraints.

Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali, Massimiliano Ronzani

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Generating the Traces You Need: A Conditional Generative Model for Process Mining Data.

Riccardo Graziosi, Massimiliano Ronzani, Andrei Buliga, Chiara Di Francescomarino, Francesco Folino, Chiara Ghidini, Francesca Meneghello, Luigi Pontieri

Proceedings of the 6th International Conference on Process Mining, 2024

Analysing and Improving Business Processes Through Hybrid Simulation Model: A Case Study.

Francesca Meneghello, Massimo Coletti, Debora Di Marco, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini

Proceedings of the Process Mining Workshops, 2024

Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning.

Francesca Meneghello, Jeroen Middelhuis, Laura Genga, Zaharah Allah Bukhsh, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini, Remco M. Dijkman

Proceedings of the Business Process Management - 22nd International Conference, 2024

Nirdizati Light: A Modular Framework for Explainable Predictive Process Monitoring.

Andrei Buliga, Riccardo Graziosi, Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi, Massimiliano Ronzani

Proceedings of the Best Dissertation Award, 2024

2023

Recommending the optimal policy by learning to act from temporal data.

Stefano Branchi, Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Francesca Meneghello, Massimiliano Ronzani

CoRR, 2023

2022

Combining Process Mining and Optimization: A Scheduling Application in Healthcare.

Matteo Di Cunzolo, Alberto Guastalla, Roberto Aringhieri, Emilio Sulis, Ilaria Angela Amantea, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini, Paolo Fonio, Marco Grosso

Proceedings of the Business Process Management Workshops, 2022

Learning to Act: A Reinforcement Learning Approach to Recommend the Best Next Activities.

Stefano Branchi, Chiara Di Francescomarino, Chiara Ghidini, David Massimo, Francesco Ricci, Massimiliano Ronzani

Proceedings of the Business Process Management Forum, 2022

2021

Towards the Application of Process Mining for Supporting the Home Hospitalization Service.

Roberto Aringhieri, Guido Boella, Enrico Brunetti, Luigi Di Caro, Chiara Di Francescomarino, Mauro Dragoni, Roger Ferrod, Chiara Ghidini, Renata Marinello, Massimiliano Ronzani, Emilio Sulis

Proceedings of the 1st Italian Forum on Business Process Management co-located with the 19th International Conference of Business Process Management (BPM 2021), 2021

Unstructured Data in Predictive Process Monitoring: Lexicographic and Semantic Mapping to ICD-9-CM Codes for the Home Hospitalization Service.

Massimiliano Ronzani, Roger Ferrod, Chiara Di Francescomarino, Emilio Sulis, Roberto Aringhieri, Guido Boella, Enrico Brunetti, Luigi Di Caro, Mauro Dragoni, Chiara Ghidini, Renata Marinello

Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

Leveraging Structured Data in Predictive Process Monitoring: the Case of the ICD-9-CM in the Scenario of the Home Hospitalization Service.

Roberto Aringhieri, Guido Boella, Enrico Brunetti, Luigi Di Caro, Chiara Di Francescomarino, Mauro Dragoni, Roger Ferrod, Chiara Ghidini, Renata Marinello, Massimiliano Ronzani, Emilio Sulis

Proceedings of the Workshop on Towards Smarter Health Care: Can Artificial Intelligence Help? co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA2021), 2021