SACCOMANNO, NICOLA

SACCOMANNO, NICOLA  

DMIF - DIPARTIMENTO DI SCIENZE MATEMATICHE, INFORMATICHE E FISICHE  

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Risultati 1 - 18 di 18 (tempo di esecuzione: 0.035 secondi).
Titolo Data di pubblicazione Autore(i) File
A Framework for Indoor Positioning Including Building Topology 1-gen-2022 Brunello, A; Montanari, A; Saccomanno, N
A genetic programming approach to WiFi fingerprint meta-distance learning 1-gen-2022 Brunello, Andrea; Montanari, Angelo; Saccomanno, Nicola
A new similarity measure for low-sampling cellular fingerprint trajectories 1-gen-2020 Gallo, P.; Gubiani, D.; Montanari, A.; Saccomanno, N.
AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning 1-gen-2021 Bernardini, A.; Brunello, A.; Gigli, G. L.; Montanari, A.; Saccomanno, N.
Crowdsourced Reconstruction of Cellular Networks to Serve Outdoor Positioning: Modeling, Validation and Analysis 1-gen-2022 Brunello, Andrea; Dalla Torre, Andrea; Gallo, Paolo; Gubiani, Donatella; Montanari, Angelo; Saccomanno, Nicola
Fingerprint-based Indoor Positioning and Beyond: Modeling, Representation, and Learning 24-mag-2023 Saccomanno, Nicola
High-Performance Features in Generalizable Fingerprint-Based Indoor Positioning 1-gen-2023 Brunello, Andrea; Montanari, Angelo; Saccomanno, Nicola; Torres-Sospedra, Joaquín
Impact of CeO2 nanoparticles on the microbiota of the S. flos-cuculi L. (Caryophyllaceae) rhizosphere 1-gen-2024 Civilini, M.; Colautti, A.; Brunello, A.; Saccomanno, N.; Marchiol, L.; Foscari, A.; Iacumin, L.
Learning What to Monitor: Using Machine Learning to Improve past STL Monitoring 1-gen-2024 Brunello, Andrea; Geatti, Luca; Montanari, Angelo; Saccomanno, Nicola
Let's forget about exact signal strength: Indoor positioning based on access point ranking and recurrent neural networks 1-gen-2020 Saccomanno, N.; Brunello, A.; Montanari, A.
Machine learning-assisted environmental surveillance of Legionella: A retrospective observational study in Friuli-Venezia Giulia region of Italy in the period 2002–2019 1-gen-2022 Brunello, A.; Civilini, M.; De Martin, S.; Felice, A.; Franchi, M.; Iacumin, L.; Saccomanno, N.; Vitacolonna, N.
Monitors that Learn from Failures: Pairing STL and Genetic Programming 1-gen-2023 Brunello, A.; Della Monica, D.; Montanari, A.; Saccomanno, N.; Urgolo, A.
OSASUD: A dataset of stroke unit recordings for the detection of Obstructive Sleep Apnea Syndrome 1-gen-2022 Bernardini, Andrea; Brunello, Andrea; Gigli, Gian Luigi; Montanari, Angelo; Saccomanno, Nicola
Towards interpretability in fingerprint based indoor positioning: May attention be with us 1-gen-2023 Brunello, A.; Montanari, A.; Saccomanno, N.
Towards Learning an Optimal Metric for Fingerprint-based Localisation 1-gen-2023 Saccomanno, Nicola; Brunello, Andrea; Montanari, Angelo
Towards Machine Learning Enhanced LTL Monitoring 1-gen-2023 Geatti, Luca; Montanari, Angelo; Saccomanno, Nicola
Usage of Language Model for the Filling of Lacunae in Ancient Latin Inscriptions: A Case Study 1-gen-2023 Brunello, A.; Colombi, E.; Locaputo, A.; Magnani, S.; Saccomanno, N.; Serra, G.
What You Sense Is Not Where You Are: On the Relationships between Fingerprints and Spatial Knowledge in Indoor Positioning 1-gen-2022 Saccomanno, Nicola; Brunello, Andrea; Montanari, Angelo