Silvio Barra
Cited by
Cited by
Deep learning for source camera identification on mobile devices
D Freire-Obregˇn, F Narducci, S Barra, M Castrillon-Santana
Pattern Recognition Letters 126, 86-91, 2019
Deep learning and time series-to-image encoding for financial forecasting
S Barra, SM Carta, A Corriga, AS Podda, DR Recupero
IEEE/CAA Journal of Automatica Sinica 7 (3), 683-692, 2020
Ubiquitous iris recognition by means of mobile devices
S Barra, A Casanova, F Narducci, S Ricciardi
Pattern Recognition Letters 57, 66-73, 2015
Biometric recognition in surveillance scenarios: a survey
J Neves, F Narducci, S Barra, H Proenša
Artificial Intelligence Review 46 (4), 515-541, 2016
A hand-based biometric system in visible light for mobile environments
S Barra, M De Marsico, M Nappi, F Narducci, D Riccio
Information Sciences 479, 472-485, 2019
Fusion of physiological measures for multimodal biometric systems
S Barra, A Casanova, M Fraschini, M Nappi
Multimedia Tools and Applications 76 (4), 4835-4847, 2017
Web-shaped model for head pose estimation: An approach for best exemplar selection
P Barra, S Barra, C Bisogni, M De Marsico, M Nappi
IEEE Transactions on Image Processing 29, 5457-5468, 2020
FAME: Face Authentication for Mobile Encounter
S Barra, M De Marsico, C Galdi, W Harry
IEEE Workshop on Biometric Measurements and Systems for Security and Medicalá…, 2013
Quis-Campi: Extending in the Wild Biometric Recognition to Surveillance Environments
JC Neves, G Santos, S Filipe, E Grancho, S Barra, F Narducci, H Proenša
International Conference on Image Analysis and Processing, 59-68, 2015
Cloud-based biometrics (biometrics as a service) for smart cities, nations, and beyond
S Barra, A Castiglione, M De Marsico, M Nappi, KKR Choo
IEEE Cloud Computing 5 (5), 92-100, 2018
Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild
H Proenca, JC Neves, S Barra, T Marques, JC Moreno
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (12), 2444á…, 2016
Acquiring high-resolution face images in outdoor environments: A master-slave calibration algorithm
JC Neves, JC Moreno, S Barra, H Proenša
2015 IEEE 7th international conference on biometrics theory, applicationsá…, 2015
Clustering facial attributes: Narrowing the path from soft to hard biometrics
AF Abate, P Barra, S Barra, C Molinari, M Nappi, F Narducci
IEEE Access 8, 9037-9045, 2019
Kurtosis and skewness at pixel level as input for SOM networks to iris recognition on mobile devices
AF Abate, S Barra, L Gallo, F Narducci
Pattern Recognition Letters 91, 37-43, 2017
Transfer learning for facial attributes prediction and clustering
L Anzalone, P Barra, S Barra, F Narducci, M Nappi
International Conference on Smart City and Informatization, 105-117, 2019
EEG/ECG signal fusion aimed at biometric recognition
S Barra, A Casanova, M Fraschini, M Nappi
International conference on image analysis and processing, 35-42, 2015
Unconstrained ear processing: What is possible and what must be done
S Barra, M De Marsico, M Nappi, D Riccio
Signal and image processing for biometrics, 129-190, 2014
Visual question answering: Which investigated applications?
S Barra, C Bisogni, M De Marsico, S Ricciardi
Pattern Recognition Letters 151, 325-331, 2021
Biometric data on the edge for secure, smart and user tailored access to cloud services
S Barra, A Castiglione, F Narducci, M De Marsico, M Nappi
Future Generation Computer Systems 101, 534-541, 2019
Biometrics-as-a-service: Cloud-based technology, systems, and applications
S Barra, KKR Choo, M Nappi, A Castiglione, F Narducci, R Ranjan
IEEE Cloud Computing 5 (4), 33-37, 2018
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