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Nicola Saccomanno
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AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning
A Bernardini, A Brunello, GL Gigli, A Montanari, N Saccomanno
Artificial Intelligence in Medicine 118, 102133, 2021
332021
What You Sense is Not Where You are: on the Relationships Between Fingerprints and Spatial Knowledge in Indoor Positioning
N Saccomanno, A Brunello, A Montanari
IEEE Sensors Journal 22 (6), 4951-4961, 2021
182021
OSASUD: A dataset of stroke unit recordings for the detection of Obstructive Sleep Apnea Syndrome
A Bernardini, A Brunello, GL Gigli, A Montanari, N Saccomanno
Scientific Data 9 (1), 177, 2022
112022
A Framework for Indoor Positioning Including Building Topology
A Brunello, A Montanari, N Saccomanno
IEEE Access 10, 114959-114974, 2022
62022
A genetic programming approach to WiFi fingerprint meta-distance learning
A Brunello, A Montanari, N Saccomanno
Pervasive and Mobile Computing 85, 101681, 2022
52022
Let’s Forget About Exact Signal Strength: Indoor Positioning based on Access Point Ranking and Recurrent Neural Networks
N Saccomanno, A Brunello, A Montanari
MobiQuitous 2020-17th EAI International Conference on Mobile and Ubiquitous …, 2020
52020
Machine learning-assisted environmental surveillance of Legionella: A retrospective observational study in Friuli-Venezia Giulia region of Italy in the period 2002–2019
A Brunello, M Civilini, S De Martin, A Felice, M Franchi, L Iacumin, ...
Informatics in Medicine Unlocked 28, 100803, 2022
42022
Towards interpretability in fingerprint based indoor positioning: May attention be with us
A Brunello, A Montanari, N Saccomanno
Expert Systems with Applications 231, 120679, 2023
32023
Monitors that Learn from Failures: Pairing STL and Genetic Programming
A Brunello, D Della Monica, A Montanari, N Saccomanno, A Urgolo
IEEE Access, 2023
32023
A new similarity measure for low-sampling cellular fingerprint trajectories
P Gallo, D Gubiani, A Montanari, N Saccomanno
2020 21st IEEE International Conference on Mobile Data Management (MDM), 9-18, 2020
22020
Impact of CeO 2 nanoparticles on the microbiota of the S. flos-cuculi L.(Caryophyllaceae) rhizosphere
M Civilini, A Colautti, A Brunello, N Saccomanno, L Marchiol, A Foscari, ...
Environmental Science: Nano, 2024
2024
Towards Learning an Optimal Metric for Fingerprint-based Localisation
N Saccomanno, A Brunello, A Montanari
Proceedings of the 29th Annual International Conference on Mobile Computing …, 2023
2023
Fingerprint-based Indoor Positioning and Beyond: Modeling, Representation, and Learning
N Saccomanno
Università degli Studi di Udine, 2023
2023
Towards Machine Learning enhanced LTL Monitoring
L Geatti, A Montanari, N Saccomanno
OVERLAY 2023: 5th Workshop on Artificial Intelligence and Formal …, 2023
2023
Usage of Language Model for the Filling of Lacunae in Ancient Latin Inscriptions: A Case Study
A Brunello, E Colombi, A Locaputo, S Magnani, N Saccomanno, G Serra
2nd Italian Workshop on Artificial Intelligence for Cultural Heritage, 2023
2023
Crowdsourced Reconstruction of Cellular Networks to Serve Outdoor Positioning: Modeling, Validation and Analysis
A Brunello, A Dalla Torre, P Gallo, D Gubiani, A Montanari, ...
Sensors 23 (1), 352, 2022
2022
Improving the estimation of fingerprint spatial relationships via deep metric learning on continuous similarities
N Saccomanno, A Brunello, A Montanari
MobiUK 2022 - Fourth UK Mobile, Wearable and Ubiquitous Systems Research …, 2022
2022
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