Deep Learning for Law Enforcement: A Survey About Three Application Domains. - Paolo Contardo; Paolo Sernani; Nicola Falcionelli; Aldo Franco Dragoni (RTA-CSIT, 2021)

Deep Learning for Automatic Violence Detection: Tests on the AIRTLab Dataset. - Paolo Sernani; Nicola Falcionelli; Selene Tomassini; Paolo Contardo; Aldo Franco Dragoni (IEEE Access, 2021)

Analyzing the impact of police mugshots in face verification for crime investigations. - Paolo Contardo; Emanuele Di Lorenzo; Nicola Falcionelli; Aldo Franco Dragoni; Paolo Sernani (MetroXRAINE, 2022)

A Comparison of Machine Learning Techniques for the Quality Classification of Molded Products. - Andrea Polenta; Selene Tomassini; Nicola Falcionelli; Paolo Contardo; Aldo Franco Dragoni; Paolo Sernani (Inf., 2022)

Evaluating Deep Neural Networks for Face Recognition with Different Subsets of Mugshots From the Photo-Signaling Procedure. - Paolo Contardo; Nicolò Rossini; Selene Tomassini; Nicola Falcionelli; Aldo Franco Dragoni; Paolo Sernani (MetroXRAINE, 2023)

Combining a mobile deep neural network and a recurrent layer for violence detection in videos. - Paolo Contardo; Selene Tomassini; Nicola Falcionelli; Aldo Franco Dragoni; Paolo Sernani (RTA-CSIT, 2023)

FRMDB: Face Recognition Using Multiple Points of View. - Paolo Contardo; Paolo Sernani; Selene Tomassini; Nicola Falcionelli; Milena Martarelli; Paolo Castellini; Aldo Franco Dragoni (Sensors, 2023)

Quality Control of Carbon Look Components via Surface Defect Classification with Deep Neural Networks. - Andrea Silenzi; Vincenzo Castorani; Selene Tomassini; Nicola Falcionelli; Paolo Contardo; Andrea Bonci; Aldo Franco Dragoni; Paolo Sernani (Sensors, 2023)

Assessing Deep Neural Networks in Face Recognition Using Multiple Mugshot Sets. - Paolo Contardo; Yassir Flavio Suarez Sanchez; Aldo Franco Dragoni; Paolo Sernani (MetroXRAINE, 2024)