Publications

Brunello, A., Della Monica, D., Montanari, A., Saccomanno, N., & Urgolo, A. (2023). Monitors that Learn from Failures: Pairing STL and Genetic Programming. IEEE Access.

Brunello, A., Dalla Torre, A., Gallo, P., Gubiani, D., Montanari, A., & Saccomanno, N. (2023). Crowdsourced Reconstruction of Cellular Networks to Serve Outdoor Positioning: Modeling, Validation and Analysis. Sensors, 23(1), 352

Brunello, A., Montanari, A., & Saccomanno, N. (2022). A Framework for Indoor Positioning Including Building Topology. IEEE Access, 10, 114959-114974 

Brunello, A., Montanari, A., & Saccomanno, N. (2022). A genetic programming approach to WiFi fingerprint meta-distance learning. Pervasive and Mobile Computing, 85, 101681 

Bernardini, A., Brunello, A., Gigli, G. L., Montanari, A., & Saccomanno, N. (2022). OSASUD: A dataset of stroke unit recordings for the detection of Obstructive Sleep Apnea Syndrome. Scientific Data, 9(1), 1-10 

Brunello, A., Civilini, M., De Martin, S., Felice, A., Franchi, M., Iacumin, L., Saccomanno, N. & Vitacolonna, N. (2022). Machine learning-assisted environmental surveillance of Legionella: A retrospective observational study in Friuli-Venezia Giulia region of Italy in the period 2002–2019. Informatics in Medicine Unlocked, 28, 100803 

Bernardini, A., Brunello, A., Gigli, G. L., Montanari, A., & Saccomanno, N. (2021). AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning. Artificial Intelligence in Medicine, 118, 102133 

Saccomanno, N., Brunello, A., & Montanari, A. (2021). What you sense is not where you are: On the relationships between fingerprints and spatial knowledge in indoor positioning. IEEE Sensors Journal, 22(6), 4951-4961 

Saccomanno, N., Brunello, A., & Montanari, A. (2020, December). Let’s forget about exact signal strength: Indoor positioning based on access point ranking and recurrent neural networks. In MobiQuitous 2020-17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (pp. 215-224) 

Gallo, P., Gubiani, D., Montanari, A., & Saccomanno, N. (2020, June). A new similarity measure for low-sampling cellular fingerprint trajectories. In 2020 21st IEEE International Conference on Mobile Data Management (MDM) (pp. 9-18). IEEE 

Saccomanno, N., Brunello, A., & Montanari, A. (2022, July). Improving the estimation of fingerprint spatial relationships via deep metric learning on continuous similarities. In MobiUK 2022 - Fourth UK Mobile, Wearable and Ubiquitous Systems Research Symposium.