| A dataset for automatic violence detection in videos M Bianculli, N Falcionelli, P Sernani, S Tomassini, P Contardo, ... Data in brief 33, 106587, 2020 | 40 | 2020 |
| Deep learning for automatic violence detection: Tests on the AIRTLab dataset P Sernani, N Falcionelli, S Tomassini, P Contardo, AF Dragoni IEEE Access 9, 160580-160595, 2021 | 35 | 2021 |
| A comparison of machine learning techniques for the quality classification of molded products A Polenta, S Tomassini, N Falcionelli, P Contardo, AF Dragoni, P Sernani Information 13 (6), 272, 2022 | 13 | 2022 |
| FRMDB: Face recognition using multiple points of view P Contardo, P Sernani, S Tomassini, N Falcionelli, M Martarelli, ... Sensors 23 (4), 1939, 2023 | 5 | 2023 |
| Deep learning for law enforcement. A survey about three application domains P Contardo, P Sernani, N Falcionelli, AF Dragoni CEUR WORKSHOP PROCEEDINGS 2872, 36-45, 2021 | 4 | 2021 |
| Analyzing the impact of police mugshots in face verification for crime investigations P Contardo, E Di Lorenzo, N Falcionelli, AF Dragoni, P Sernani 2022 IEEE International Conference on Metrology for Extended Reality …, 2022 | 3 | 2022 |
| Quality Control of Carbon Look Components via Surface Defect Classification with Deep Neural Networks A Silenzi, V Castorani, S Tomassini, N Falcionelli, P Contardo, A Bonci, ... Sensors 23 (17), 7607, 2023 | 2 | 2023 |
| Evaluating Deep Neural Networks for Face Recognition with Different Subsets of Mugshots From the Photo-Signaling Procedure P Contardo, N Rossini, S Tomassini, N Falcionelli, AF Dragoni, P Sernani 2023 IEEE International Conference on Metrology for eXtended Reality …, 2023 | | 2023 |
| Combining a mobile deep neural network and a recurrent layer for violence detection in videos. P Contardo, S Tomassini, N Falcionelli, AF Dragoni, P Sernani RTA-CSIT, 35-43, 2023 | | 2023 |
| Deep Learning for Automatic Violence Detection: Tests on the AIRTLab Dataset P CONTARDO, AF DRAGONI | | |
Aldo Franco DragoniComputer Scientist,Email verificata su univpm.it
