| 2026 | AAAI | Do LLMs Really Struggle at NL-FOL Translation? Revealing Their Strengths via a Novel Benchmarking Strategy. | Andrea Brunello, Luca Geatti, Michele Mignani, Angelo Montanari, Nicola Saccomanno |
| 2026 | AAAI | Automata-less Monitoring via Trace-Checking. | Andrea Brunello, Luca Geatti, Angelo Montanari, Nicola Saccomanno |
| 2026 | LREC | Ithaca Revisited: Benchmarking a Domain-Specific Model for Epigraphy in the Age of LLMs. | Alessandro Locaputo, Andrea Brunello, Nicola Saccomanno, Paraskevi Platanou, Giuseppe Serra |
| 2025 | ECAI | Interpretable Early Failure Detection via Machine Learning and Trace Checking-Based Monitoring. | Andrea Brunello, Luca Geatti, Angelo Montanari, Nicola Saccomanno |
| 2024 | IJCAI | Learning What to Monitor: Using Machine Learning to Improve past STL Monitoring. | Andrea Brunello, Luca Geatti, Angelo Montanari, Nicola Saccomanno |
| 2023 | MOBICOM | Towards Learning an Optimal Metric for Fingerprint-based Localisation. | Nicola Saccomanno, Andrea Brunello, Angelo Montanari |
| 2023 | Mobiquitous | High-Performance Features in Generalizable Fingerprint-Based Indoor Positioning. | Andrea Brunello, Angelo Montanari, Nicola Saccomanno, Joaqun Torres-Sospedra |
| 2020 | ICDM | Virtual Sensing of Temperatures in Indoor Environments: A Case Study. | Andrea Brunello, Martin Kraft, Angelo Montanari, Federico Pittino, Andrea Urgolo |
| 2020 | Mobiquitous | Let's Forget About Exact Signal Strength: Indoor Positioning based on Access Point Ranking and Recurrent Neural Networks. | Nicola Saccomanno, Andrea Brunello, Angelo Montanari |
| 2019 | ADBIS | Assessing the Role of Temporal Information in Modelling Short-Term Air Pollution Effects Based on Traffic and Meteorological Conditions: A Case Study in Wrocław. | Andrea Brunello, Joanna Kaminska, Enrico Marzano, Angelo Montanari, Guido Sciavicco, Tomasz Turek |
| 2019 | CIKM | Towards Stochastic Simulations of Relevance Profiles. | Kevin Roitero, Andrea Brunello, Julin Urbano, Stefano Mizzaro |
| 2019 | JELIA | Interval Temporal Logic Decision Tree Learning. | Andrea Brunello, Guido Sciavicco, Ionel Eduard Stan |
| 2019 | TIME | Synthesis of LTL Formulas from Natural Language Texts: State of the Art and Research Directions. | Andrea Brunello, Angelo Montanari, Mark Reynolds |