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 (SMARTERCARE@AI*IA, 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 (AI*IA, 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 (ITBPM@BPM, 2021)

Learning to Act: A Reinforcement Learning Approach to Recommend the Best Next Activities. - Stefano Branchi; Chiara Di Francescomarino; Chiara Ghidini; David Massimo; Francesco Ricci 001; Massimiliano Ronzani (BPM (Forum), 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 (Business Process Management Workshops, 2022)

Recommending the optimal policy by learning to act from temporal data. - Stefano Branchi; Andrei Buliga 001; Chiara Di Francescomarino; Chiara Ghidini; Francesca Meneghello 002; Massimiliano Ronzani (CoRR, 2023)

Nirdizati Light: A Modular Framework for Explainable Predictive Process Monitoring. - Andrei Buliga 001; Riccardo Graziosi; Chiara Di Francescomarino; Chiara Ghidini; Fabrizio Maria Maggi; Williams Rizzi; Massimiliano Ronzani (BPM (Demos / Resources Forum), 2024)

Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning. - Francesca Meneghello 002; Jeroen Middelhuis; Laura Genga; Zaharah Bukhsh; Massimiliano Ronzani; Chiara Di Francescomarino; Chiara Ghidini; Remco M. Dijkman (BPM, 2024)

Analysing and Improving Business Processes Through Hybrid Simulation Model: A Case Study. - Francesca Meneghello 002; Massimo Coletti; Debora Di Marco; Massimiliano Ronzani; Chiara Di Francescomarino; Chiara Ghidini (ICPM Workshops, 2024)

Generating the Traces You Need: A Conditional Generative Model for Process Mining Data. - Riccardo Graziosi; Massimiliano Ronzani; Andrei Buliga 001; Chiara Di Francescomarino; Francesco Folino; Chiara Ghidini; Francesca Meneghello 002; Luigi Pontieri (ICPM, 2024)

Generating Counterfactual Explanations Under Temporal Constraints. - Andrei Buliga 001; Chiara Di Francescomarino; Chiara Ghidini; Marco Montali; Massimiliano Ronzani (AAAI, 2025)

Multi-perspective Next Event Prediction in PPM via Heterogeneous Graph Neural Networks. - Sebastiano Dissegna; Chiara Di Francescomarino; Massimiliano Ronzani (RCIS (1), 2025)

Outcome-oriented local explanation using context-aware process patterns. - Mozhgan Vazifehdoostirani; Andrei Buliga 001; Laura Genga; Chiara Di Francescomarino; Massimiliano Ronzani; Chiara Ghidini; Remco M. Dijkman (Eng. Appl. Artif. Intell., 2025)

Runtime integration of machine learning and simulation for business processes: Time and decision mining predictions. - Francesca Meneghello 002; Chiara Di Francescomarino; Chiara Ghidini; Massimiliano Ronzani (Inf. Syst., 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., 2025)

Graph-based Event Log Repair. - Sebastiano Dissegna; Chiara Di Francescomarino; Massimiliano Ronzani (CoRR, 2025)