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Antonio Pietroiusti
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2020 – today
- 2020
- [j3]Vito M. Manghisi
, Michele Fiorentino
, Antonio Boccaccio
, Michele Gattullo
, Giuseppe Leonardo Cascella
, Nicola Toschi
, Antonio Pietroiusti, Antonio E. Uva:
A Body Tracking-Based Low-Cost Solution for Monitoring Workers' Hygiene Best Practices during Pandemics. Sensors 20(21): 6149 (2020)
2010 – 2019
- 2019
- [j2]Giuseppina Callari, Arianna Mencattini
, Paola Casti, Maria Colomba Comes
, Davide Di Giuseppe
, Corrado Di Natale, Innocenzo Sammarco, Antonio Pietroiusti, Andrea Magrini, Giorgio Isidoro Lesci, Marco Luce, Antonio L. Cricenti, Eugenio Martinelli:
The Influence of Uncertainty Contributions on Deep Learning Architectures in Vision-Based Evaluation Systems. IEEE Trans. Instrum. Meas. 68(7): 2425-2432 (2019) - 2018
- [c2]Arianna Mencattini, Paola Casti, Davide Di Giuseppe
, Giuseppina Callari, Marcello Salmeri, Stefano Bertazzoni, Eugenio Martinelli, Antonio L. Cricenti, Marco Luce, Innocenzo Sammarco, Antonio Pietroiusti, Andrea Magrini, Giorgio Isidoro Lesci, Luigi Ferrucci:
A Deep Learning Strategy for Vision-Based Evaluation on the Effect of Nanoparticles Exposure. MeMeA 2018: 1-5 - 2017
- [j1]Paola Casti, Arianna Mencattini, Innocenzo Sammarco, Sowmya Velappa Jayaraman, Gabriele Magna
, Antonio L. Cricenti
, Marco Luce, Antonio Pietroiusti, Giorgio Isidoro Lesci, Luigi Ferrucci, Andrea Magrini, Eugenio Martinelli, Corrado Di Natale:
Robust classification of biological samples in atomic force microscopy images via multiple filtering cooperation. Knowl. Based Syst. 133: 221-233 (2017) - 2016
- [c1]Nicola Toschi
, Stefano Ciulli
, Stefano Diciotti
, Andrea Duggento, Maria Guerrisi, Andrea Magrini, Luisa Campagnolo
, Antonio Pietroiusti:
Forecasting nanoparticle toxicity using nonlinear predictive regressor learning systems. EMBC 2016: 137-140
Coauthor Index
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