| 2025 | AIME | Exploiting LLMs for Supporting Conformance Checking on Medical Processes. | Giorgio Leonardi, Stefania Montani, Manuel Striani |
| 2025 | RO-MAN | The Impact of Adaptive Emotional Alignment on Mental State Attribution and User Empathy in HRI. | Giorgia Buracchio, Ariele Callegari, Massimo Donini, Cristina Gena, Antonio Lieto, Alberto Lillo, Claudio Mattutino, Alessandro Mazzei, Linda Pigureddu, Manuel Striani, Fabiana Vernero |
| 2023 | AIME | Improving Stroke Trace Classification Explainability Through Counterexamples. | Giorgio Leonardi, Stefania Montani, Manuel Striani |
| 2023 | KES | Applying the SIM Tool in Clinical Practice: a Case Study in Neonatal Resuscitation Simulation. | Alessio Bottrighi, Marco Guazzone, Giorgio Leonardi, Stefania Montani, Manuel Striani, Paolo Terenziani |
| 2022 | ISMIS | AS-SIM: An Approach to Action-State Process Model Discovery. | Alessio Bottrighi, Marco Guazzone, Giorgio Leonardi, Stefania Montani, Manuel Striani, Paolo Terenziani |
| 2020 | FlAIRS | Deep Feature Extraction for Representing and Classifying Time Series Cases: Towards an Interpretable Approach in Haemodialysis. | Giorgio Leonardi, Stefania Montani, Manuel Striani |
| 2020 | ICCBR | Process Trace Classification for Stroke Management Quality Assessment. | Giorgio Leonardi, Stefania Montani, Manuel Striani |
| 2019 | AIME | Deep Learning for Haemodialysis Time Series Classification. | Giorgio Leonardi, Stefania Montani, Manuel Striani |
| 2017 | AIME | Knowledge-Based Trace Abstraction for Semantic Process Mining. | Stefania Montani, Manuel Striani, Silvana Quaglini, Anna Cavallini, Giorgio Leonardi |
| 2017 | ICCBR | Semantic Trace Comparison at Multiple Levels of Abstraction. | Stefania Montani, Manuel Striani, Silvana Quaglini, Anna Cavallini, Giorgio Leonardi |
| 2017 | ICCBR | A framework for Multi-level Trace Abstraction and Semantic Process Mining. | Manuel Striani |