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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
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