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Paolo Contardo
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2020 – today
- 2023
- [j4]Paolo Contardo, Paolo Sernani, Selene Tomassini, Nicola Falcionelli, Milena Martarelli, Paolo Castellini, Aldo Franco Dragoni:
FRMDB: Face Recognition Using Multiple Points of View. Sensors 23(4): 1939 (2023) - [j3]Andrea Silenzi, Vincenzo Castorani, Selene Tomassini, Nicola Falcionelli, Paolo Contardo, Andrea Bonci, Aldo Franco Dragoni, Paolo Sernani:
Quality Control of Carbon Look Components via Surface Defect Classification with Deep Neural Networks. Sensors 23(17): 7607 (2023) - [c4]Paolo Contardo, Nicolò Rossini, Selene Tomassini, Nicola Falcionelli, Aldo Franco Dragoni, Paolo Sernani:
Evaluating Deep Neural Networks for Face Recognition with Different Subsets of Mugshots From the Photo-Signaling Procedure. MetroXRAINE 2023: 543-548 - [c3]Paolo Contardo, Selene Tomassini, Nicola Falcionelli, Aldo Franco Dragoni, Paolo Sernani:
Combining a mobile deep neural network and a recurrent layer for violence detection in videos. RTA-CSIT 2023: 35-43 - 2022
- [j2]Andrea Polenta, Selene Tomassini, Nicola Falcionelli, Paolo Contardo, Aldo Franco Dragoni, Paolo Sernani:
A Comparison of Machine Learning Techniques for the Quality Classification of Molded Products. Inf. 13(6): 272 (2022) - [c2]Paolo Contardo, Emanuele Di Lorenzo, Nicola Falcionelli, Aldo Franco Dragoni, Paolo Sernani:
Analyzing the impact of police mugshots in face verification for crime investigations. MetroXRAINE 2022: 236-241 - 2021
- [j1]Paolo Sernani, Nicola Falcionelli, Selene Tomassini, Paolo Contardo, Aldo Franco Dragoni:
Deep Learning for Automatic Violence Detection: Tests on the AIRTLab Dataset. IEEE Access 9: 160580-160595 (2021) - [c1]Paolo Contardo, Paolo Sernani, Nicola Falcionelli, Aldo Franco Dragoni:
Deep Learning for Law Enforcement: A Survey About Three Application Domains. RTA-CSIT 2021: 36-45
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