A new similarity measure for low-sampling cellular fingerprint trajectories. - Paolo Gallo; Donatella Gubiani; Angelo Montanari; Nicola Saccomanno (MDM, 2020)

Let's Forget About Exact Signal Strength: Indoor Positioning based on Access Point Ranking and Recurrent Neural Networks. - Nicola Saccomanno; Andrea Brunello; Angelo Montanari (MobiQuitous, 2020)

AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning. - Andrea Bernardini; Andrea Brunello; Gian Luigi Gigli; Angelo Montanari; Nicola Saccomanno (Artif. Intell. Medicine, 2021)

A Framework for Indoor Positioning Including Building Topology. - Andrea Brunello; Angelo Montanari; Nicola Saccomanno (IEEE Access, 2022)

A genetic programming approach to WiFi fingerprint meta-distance learning. - Andrea Brunello; Angelo Montanari; Nicola Saccomanno (Pervasive Mob. Comput., 2022)

Usage of Language Model for the Filling of Lacunae in Ancient Latin Inscriptions: A Case Study (full paper). - Andrea Brunello; Emanuela Colombi; Alessandro Locaputo; Stefano Magnani; Nicola Saccomanno; Giuseppe Serra 001 (IAI4CH@AI*IA, 2023)

Towards Learning an Optimal Metric for Fingerprint-based Localisation. - Nicola Saccomanno; Andrea Brunello; Angelo Montanari (MobiCom, 2023)

High-Performance Features in Generalizable Fingerprint-Based Indoor Positioning. - Andrea Brunello; Angelo Montanari; Nicola Saccomanno; Joaquín Torres-Sospedra (MobiQuitous (1), 2023)

Towards Machine Learning Enhanced LTL Monitoring. - Luca Geatti; Angelo Montanari; Nicola Saccomanno (OVERLAY@AI*IA, 2023)

Monitors That Learn From Failures: Pairing STL and Genetic Programming. - Andrea Brunello; Dario Della Monica; Angelo Montanari; Nicola Saccomanno; Andrea Urgolo (IEEE Access, 2023)

Crowdsourced Reconstruction of Cellular Networks to Serve Outdoor Positioning: Modeling, Validation and Analysis. - Andrea Brunello; Andrea Dalla Torre; Paolo Gallo; Donatella Gubiani; Angelo Montanari; Nicola Saccomanno (Sensors, 2023)

Towards interpretability in fingerprint based indoor positioning: May attention be with us. - Andrea Brunello; Angelo Montanari; Nicola Saccomanno (Expert Syst. Appl., 2023)

Learning What to Monitor: Using Machine Learning to Improve past STL Monitoring. - Andrea Brunello; Luca Geatti; Angelo Montanari; Nicola Saccomanno (IJCAI, 2024)

Evaluating LLMs Capabilities at Natural Language to Logic Translation: A Preliminary Investigation. - Andrea Brunello; Riccardo Ferrarese; Luca Geatti; Enrico Marzano; Angelo Montanari; Nicola Saccomanno (OVERLAY, 2024)

An Information System for Biblical Manuscripts Paratexts: Modeling, Implementation, and Future Directions. - Andrea Brunello; Emanuela Colombi; Matteo Raffin; Nicola Saccomanno (IRCDL, 2025)

Time matters: Empirical insights into the limits and challenges of temporal generalization in CSI-based Wi-Fi sensing. - Andrea Brunello; Angelo Montanari; Raúl Montoliu; Adriano J. C. Moreira; Nicola Saccomanno; Emilio Sansano-Sansano; Joaquín Torres-Sospedra (Internet Things, 2025)

A survey on recent trends in robotics and artificial intelligence in the furniture industry. - Andrea Brunello; Giuliano Fabris; Alessandro Gasparetto; Angelo Montanari; Nicola Saccomanno; Lorenzo Scalera (Robotics Comput. Integr. Manuf., 2025)