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Antonini, Mattia
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1

An Adaptable and Unsupervised TinyML Anomaly Detection Syst..:

Antonini, Mattia ; Pincheira, Miguel ; Vecchio, Massimo.
Sensors.  23 (2023)  4 - p. 2344 , 2023
Link: https://doi.org/10.3390/..
 
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2

A TinyML approach to non-repudiable anomaly detection in ex..:

, In: 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT),
Antonini, Mattia ; Pincheira, Miguel ; Vecchio, Massimo. - p. 397-402 , 2022
Link: https://doi.org/10.1109/..
 
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3

Tiny-MLOps: a framework for orchestrating ML applications a..:

, In: 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS),
Antonini, Mattia ; Pincheira, Miguel ; Vecchio, Massimo. - p. 1-8 , 2022
Link: https://doi.org/10.1109/..
 
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4

Integrating the IoT and Blockchain Technology for the Next ..:

Pincheira, Miguel ; Antonini, Mattia ; Vecchio, Massimo
Sensors.  22 (2022)  3 - p. 899 , 2022
Link: https://doi.org/10.3390/..
 
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5

Therapeutic Alliance in COVID-19 Era Remote Psychotherapy D..:

Grignoli, Nicola ; Arnaboldi, Paola ; Antonini, Mattia
Frontiers in Psychology.  12 (2021)  - p. , 2021
Link: https://doi.org/10.3389/..
 
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6

IoT Technologies and Privacy in a Data-Bloated Society: Whe..:

Giaffreda, Raffaele ; Antonini, Mattia
IEEE Internet of Things Magazine.  3 (2020)  4 - p. 2-3 , 2020
Link: https://doi.org/10.1109/..
 
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7

MetaNChemo: A meta-heuristic neural-based framework for che..:

Antonini, Mattia ; Gaiardo, Andrea ; Vecchio, Massimo
Applied Soft Computing.  97 (2020)  - p. 106712 , 2020
Link: https://doi.org/10.1016/..
 
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8

Fog Computing Architectures: A Reference for Practitioners:

Antonini, Mattia ; Vecchio, Massimo ; Antonelli, Fabio
IEEE Internet of Things Magazine.  2 (2019)  3 - p. 19-25 , 2019
Link: https://doi.org/10.1109/..
 
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9

IRESE: An intelligent rare-event detection system using uns..:

Janjua, Zaffar Haider ; Vecchio, Massimo ; Antonini, Mattia.
Engineering Applications of Artificial Intelligence.  84 (2019)  - p. 41-50 , 2019
Link: https://doi.org/10.1016/..
 
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10

Resource Characterisation of Personal-Scale Sensing Models ..:

, In: Proceedings of the First International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things,
Antonini, Mattia ; Vu, Tran Huy ; Min, Chulhong... - p. 49-55 , 2019
Link: https://dl.acm.org/doi/1..
 
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11

DiRPL: A RPL-Based Resource and Service Discovery Algorithm..:

Davoli, Luca ; Antonini, Mattia ; Ferrari, Gianluigi
Applied Sciences.  9 (2018)  1 - p. 33 , 2018
Link: https://doi.org/10.3390/..
 
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12

Smart Audio Sensors in the Internet of Things Edge for Anom..:

Antonini, Mattia ; Vecchio, Massimo ; Antonelli, Fabio..
IEEE Access.  6 (2018)  - p. 67594-67610 , 2018
Link: https://doi.org/10.1109/..
 
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13

An Adaptable and Unsupervised TinyML Anomaly Detection Syst..:

Antonini, Mattia ; Pincheira, Miguel ; Vecchio, Massimo.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962960/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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14

Integrating the IoT and Blockchain Technology for the Next ..:

Pincheira, Miguel ; Antonini, Mattia ; Vecchio, Massimo
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840585/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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15

From Edge Computing to Edge Intelligence: exploring novel d..:

Antonini, Mattia
firstpage:1.  , 2021
Link: http://hdl.handle.net/11..
 
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