Publications

Silvio Barra, S. M. Carta, A. Giuliani, A. Pisu, A. S. Podda, D. Riboni (2023). FootApp:an AI-powered system for football match annotation. Multimed Tools Appl 82, 5547–5567 (2023).

Cite DOI

Silvio Barra, S. M. Carta, A. Meloni, A. S. Podda, D. R. Recupero (2023). A Practical Approach for Vehicle Speed Estimation in Smart Cities. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).

Cite DOI

A. Atzori, Silvio Barra, S. M. Carta, G. Fenu, A. S. Podda (2022). Heimdall:an AI-based infrastructure for traffic monitoring and anomalies detection. 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).

Cite DOI

A. S. Podda, R. Balia, Silvio Barra, S. M. Carta, G. Fenu, L. Piano (2022). Fully-automated deep learning pipeline for segmentation and classification of breast ultrasound images. Journal of Computational Science, Volume 63, September 2022, 101816.

Cite DOI

P. Barra, L. De Maio, Silvio Barra (2022). Emotion recognition by web-shaped model. Multimedia Tools and Applications volume 82, pages 11321–11336 (2023).

Cite DOI

S. Ren, Y. He, X. Wang, K. Guo, Silvio Barra, J. Li (2022). CIOD:an intelligent class-incremental object detection system with nearest mean of exemplars. Journal of Ambient Intelligence and Humanized Computing (2022).

Cite DOI

L. Anzalone, P. Barra, Silvio Barra, A. Castiglione, M. Nappi (2022). An End-to-End Curriculum Learning Approach for Autonomous Driving Scenarios. IEEE Transactions on Intelligent Transportation Systems 23 (10), 19817-19826.

Cite DOI

Silvio Barra, S. Hossain, C. Pero, S. Umer (2022). A Facial Expression Recognition Approach for Social IoT Frameworks. Big Data Research, 2022, 30..

Cite DOI

L. Anzalone, Silvio Barra, Michele Nappi (2021). Reinforced curriculum learning for autonomous driving in CARLA. 2021 IEEE International Conference on Image Processing (ICIP).

Cite DOI

Gerardo Iovane, Michele Nappi, Marta Chinnici, Alfredo Petrosino, Aniello Castiglione, Silvio Barra (2021). A novel blockchain scheme combining prime numbers and iris for encrypting coding. Proceedings - IEEE 17th International Conference on Dependable, Autonomic and Secure Computing, IEEE 17th International Conference on Pervasive Intelligence and Computing, IEEE 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019 August 2019, Article number 8890452, Pages 609-618.

Cite DOI

Silvio Barra, C. Bisogni, M. De Marsico, S. Ricciardi (2021). Visual question answering:Which investigated applications?. Pattern Recognition Letters Volume 151, November 2021, Pages 325-331.

Cite DOI

M. Grazioso, A. S. Podda, Silvio Barra, F. Cutugno (2021). Natural interaction with traffic control cameras through multimodal interfaces. Artificial Intelligence in HCI. HCII 2021. Lecture Notes in Computer Science(), vol 12797. Springer, Cham.

Cite DOI

M. Nappi, Silvio Barra, A. Castiglione, F. Narducci, P. Vijayakumar (2021). Introduction to the special issue on" Biometrics in Smart Cities:Techniques and Applications (BI_SCI)". Pattern Recognition Letters, Volume 148, p. 43-44..

Cite DOI

P. Barra, Silvio Barra, F. Narducci (2021). From Fully Supervised to Blind Digital Anastylosis on DAFNE Dataset. Lecture Notes in Computer Science book series (LNIP,volume 12663).

Cite DOI

R. Balia, Silvio Barra, S. M. Carta, G. Fenu, A. S. Podda, N. Sansoni (2021). A Deep Learning Solution for Integrated Traffic Control Through Automatic License Plate Recognition. Lecture Notes in Computer Science book series (LNTCS,volume 12951).

Cite DOI

Paola Barra, Silvio Barra, Michele Nappi, Fabio Narducci (2020). SAFFO: A SIFT based approach for digital anastylosis for fresco recOnstruction. Pattern Recognition Letters Volume 138, October 2020, Pages 123-129.

Cite DOI

Silvio Barra, Alessandro Carcangiu, Salvatore M Carta, Alessandro Sebastian Podda, Daniele Riboni (2020). A Voice User Interface for football event tagging applications. AVI ‘20: Proceedings of the International Conference on Advanced Visual InterfacesSeptember 2020 Article No.: 75 Pages 1–3.

Cite Poster DOI

Paola Barra, Silvio Barra, Carmen Bisogni, Maria De Marsico, Michele Nappi (2020). Web-Shaped Model for Head Pose Estimation: An Approach for Best Exemplar Selection. IEEE Transactions on Image Processing Volume 29, 2020, Article number 9057523, Pages 5457-5468.

Cite DOI

Silvio Barra, Salvatore Mario Carta, Andrea Corriga, Alessandro Sebastian Podda, Diego Reforgiato Recupero (2020). Deep learning and time series-To-image encoding for financial forecasting. IEEE/CAA Journal of Automatica Sinica Volume 7, Issue 3, May 2020, Article number 9080613, Pages 683-692.

Cite DOI

Silvio Barra, Aniello Castiglione, Fabio Narducci, Maria De Marsico, Michele Nappi (2019). Biometric data on the edge for secure, smart and user tailored access to cloud services. Future Generation Computer Systems Volume 101, December 2019, Pages 534-541.

Cite

Andrea F. Abate, Paola Barra, Silvio Barra, Cristiano Molinari, Michele Nappi, Fabio Narducci (2019). Clustering facial attributes: Narrowing the path from soft to hard biometrics. IEEE Access Volume 8, 2020, Article number 8941010, Pages 9037-9045.

Cite DOI

Maria De Marsico, Alessio Mecca, Silvio Barra (2019). Walking in a smart city: Investigating the gait stabilization effect for biometric recognition via wearable sensors. Computers and Electrical Engineering Volume 80, December 2019, Article number 106501.

Cite DOI

Luca Anzalone, Paola Barra, Silvio Barra, Fabio Narducci, Michele Nappi (2019). Transfer Learning for Facial Attributes Prediction and Clustering. Communications in Computer and Information Science Volume 1122 CCIS, 2019, Pages 105-117 7th International Conference on Smart City and Informatization, iSCI 2019; Guangzhou; China; 12 November 2019 through 15 November 2019; Code 233889.

Cite Code Springer Link

Silvio Barra, Matteo Fraschini, Andrea Casanova, Aniello Castiglione, Gianni Fenu (2019). PhysioUnicaDB: a dataset of EEG and ECG simultaneously acquired. Pattern Recognition Letters Volume 126, 1 September 2019, Pages 119-122.

Cite Dataset DOI Science Direct

David Freire-Obregón, Fabio Narducci, Silvio Barra, Modesto Castrillón-Santanaa (2019). Deep learning for source camera identification on mobile devices. Pattern Recognition Letters Volume 126, 1 September 2019, Pages 86-91.

Cite DOI

Silvio Barra, Carmen Bisogni, Michele Nappi, Stefano Ricciardi (2019). F-FID: fast fuzzy-based iris de-noising for mobile security applications. Multimedia Tools and Applications Volume 78, Issue 10, 30 May 2019, Pages 14045-14065.

Cite DOI

Silvio Barra, Maria De Marsico, Hugo Proença, Michele Nappi (2019). MICHE competitions: A realistic experience with uncontrolled eye region acquisition. Advances in Computer Vision and Pattern Recognition 2019, Pages 67-104.

Cite DOI

Silvio Barra, Rita Francese, Michele Risi (2019). Automating Mockup-Based Usability Testing on the Mobile Device. International Conference on Green, Pervasive, and Cloud Computing GPC 2019: Green, Pervasive, and Cloud Computing pp 128-143.

Cite DOI

Giuseppe Cattaneo, Umberto Ferraro Petrillo, Andrea F. Abate, Fabio Narducci, Silvio Barra (2019). Achieving efficient source camera identification on Hadoop. Multimedia Tools and Applications Volume 78, Issue 23, 1 December 2019, Pages 32999-33021.

Cite DOI

Gianni Fenu, Mirko Marras, Silvio Barra, Fabrizio Giorgini, Davide Zucchetti e Filippo Chesi (2019). iLearnTV: An ecosystem of knowledge sharing and collaborative production to innovate training. Mondo Digitale Volume 18, Issue 81, April 2019.

Cite

(2019). A hand-based biometric system in visible light for mobile environments. Information Sciences Volume 479, April 2019, Pages 472-485.

Cite DOI

Silvio Barra, Mirko Marras, Gianni Fenu (2018). Continuous authentication on smartphone by means of periocular and virtual keystroke. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 11058 LNCS, 2018, Pages 212-220 12th International Conference on Network and System Security, NSS 2018; Hong Kong; China; 27 August 2018 through 29 August 2018; Code 222179.

Cite DOI

Andrea F. Abate, Michele Nappi, Silvio Barra, Maria De Marsico (2018). What are you doing while answering your smartphone?. Proceedings - International Conference on Pattern Recognition Volume 2018-August, 26 November 2018, Article number 8545797, Pages 3120-3125 24th International Conference on Pattern Recognition, ICPR 2018; China National Convention Center (CNCC)Beijing;.

Cite Poster DOI

Silvio Barra, Aniello Castiglione, Maria De Marsico, Michele Nappi, Kim-Kwang Raymond Choo (2018). Cloud-Based Biometrics (Biometrics as a Service) for Smart Cities, Nations, and Beyond. IEEE Cloud Computing Volume 5, Issue 5, 2018, Article number 8497010, Pages 92-100.

Cite DOI

Andrea F. Abate, Silvio Barra, Giuseppe Galeotafiore, Carmen Díaz, Elvira Aura, Miguel Sánchez, Xavier Mas, Eduardo Vendrell (2018). An Augmented Reality Mobile App for Museums: Virtual Restoration of a Plate of Glass. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 11196 LNCS, 2018, Pages 539-547 7th International Conference on Digital Heritage, EuroMed 2018; Nicosia; Cyprus; 29 October 2018 through 3 November 2018; Code 219789.

Cite DOI

Andrea F. Abate, Silvio Barra, Andrea Casanov, Gianni Fenu (2018). Iris quality assessment: A statistical approach for biometric security applications. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 11161 LNCS, 2018, Pages 270-278 10th International Symposium on Cyberspace Safety and Security, CSS 2018; Amalfi; Italy; 29 October 2018 through 31 October 2018; Code 220169.

Cite DOI

Silvio Barra, Kim-Kwang Raymond Choo, Michele Nappi, Arcangelo Castiglione, Fabio Narducci, Rajiv Ranjan (2018). Biometrics-as-a-service: Cloud-based technology, systems, and applications. IEEE Cloud Computing Volume 5, Issue 4, July-August 2018, Pages 33-37.

Cite DOI

Silvio Barra, Gianni Fenu, Maria De Marsico, Aniello Castiglione, Michele Nappi (2018). Have you permission to answer this phone?. IWBF 2018 - Proceedings: 2018 6th International Workshop on Biometrics and Forensics 29 June 2018, Pages 1-7.

Cite DOI

Andrea Francesco Abate, Silvio Barra, Gianni Fenu, Michele Nappi, Fabio Narducci (2017). A Lightweight Mamdani Fuzzy Controller for Noise Removal on Iris Images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 10485 LNCS, 2017, Pages 93-103 19th International Conference on Image Analysis and Processing, ICIAP 2017; Catania; Italy; 11 September 2017 through 15 September 2017; Code 200739.

Cite DOI

Silvio Barra, Andrea Casanova, Matteo Fraschini, Michele Nappi (2017). Fusion of physiological measures for multimodal biometric systems. Multimedia Tools and Applications Volume 76, Issue 4, 1 February 2017, Pages 4835-4847.

Cite DOI

Andrea F.Abate, Silvio Barra, Luigi Gallo, Fabio Narducci (2017). Kurtosis and skewness at pixel level as input for SOM networks to iris recognition on mobile devices. Pattern Recognition Letters Volume 91, 1 May 2017, Pages 37-43.

Cite DOI

Andrea Abate, Silvio Barra, Luigi Gallo, Fabio Narducci (2017). SKIPSOM: Skewness & kurtosis of iris pixels in Self Organizing Maps for iris recognition on mobile devices. 2016 23rd International Conference on Pattern Recognition (ICPR).

Cite DOI

Silvio Barra, Maria De Marsico, Michele Nappi, Fabio Narducci, Daniel Riccio (2017). MOHAB: Mobile hand-based biometric recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 10232 LNCS, 2017, Pages 105-115 12th International Conference on Green, Pervasive and Cloud Computing, GPC 2017; Cetara; Italy; 11 May 2017 through 14 May 2017; Code 191689.

Cite DOI

Andrea F. Abate, Silvio Barra, Francesco D’Aniello, Fabio Narducci (2017). Two-tier image features clustering for iris recognition on mobile. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 10147 LNAI, 2017, Pages 260-269.

Cite DOI

João C. Neves, Juan C. Moreno, Silvio Barra, Fabio Narducci, Hugo Proença (2017). Unconstrained data acquisition frameworks and protocols. Human Recognition in Unconstrained Environments Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics 2017, Pages 1-30.

Cite DOI

João Neves, Fabio Narducci, Silvio Barra, Hugo Proença (2016). Biometric recognition in surveillance scenarios: a survey. Artificial Intelligence Review Volume 46, Issue 4, 1 December 2016, Pages 515-541.

Cite DOI

Hugo Proença, João C. Neves, Silvio Barra, Tiago Marques, Juan C. Moreno (2016). Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild. IEEE Transactions on Pattern Analysis and Machine Intelligence Volume 38, Issue 12, 1 December 2016, Article number 7393850, Pages 2444-2456.

Cite DOI

João C. Neves, Juan C. Moreno, Silvio Barra, Hugo Proença (2015). Acquiring high-resolution face images in outdoor environments: A master-slave calibration algorithm. 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015 16 December 2015, Article number 7358744 7th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2015; Arlington; United States; 8 September 2015 through 11 September 2015; Category numberCFP15BTA-ART; Code 118731.

Cite DOI

João C. Neves, Gil Santos, Sílvio Filipe, Emanuel Grancho, Silvio Barra, Fabio Narducci, Hugo Proença (2015). Quis-Campi: Extending in the wild biometric recognition to surveillance environments. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 9281, 2015, Pages 59-68 18th International Conference on Image Analysis and Processing, ICIAP 2015 BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM; Genoa; Italy; 7 September 2015 through 8 September 2015; Code 141059.

Cite DOI

Silvio Barra, Andrea Casanova, Matteo Fraschini, Michele Nappi (2015). EEG/ECG signal fusion aimed at biometric recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 9281, 2015, Pages 35-42 18th International Conference on Image Analysis and Processing, ICIAP 2015 BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM; Genoa; Italy; 7 September 2015 through 8 September 2015; Code 141059.

Cite DOI

J. C. Neves, J. C. Moreno, Silvio Barra, H. Proença (2015). A calibration algorithm for multi-camera visual surveillance systems based on single-view metrology. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 9117, 2015, Pages 552-559 7th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2015; Santiago de Compostela; Spain; 17 June 2015 through 19 June 2015; Code 119089.

Cite DOI

Silvio Barra, Maria De Marsico, Virginio Cantoni, Daniel Riccio (2014). Using mutual information for multi-anchor tracking of human beings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 8897, 2014, Pages 28-39 1st International Workshop on Biometrics, BIOMET 2014; Sofia; Bulgaria; 23 June 2014 through 24 June 2014; Code 111709.

Cite DOI

Silvio Barra, Andrea Casanova, Maria De Marsico, Daniel Riccio (2014). Babies: Biometric authentication of newborn identities by means of ear signatures. BIOMS 2014 - 2014 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, Proceedings 10 November 2014, Article number 6951528, Pages 1-7 2014 5th IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, BIOMS 2014; University Roma TreRome; Italy; 17 October 2014 through ; Category numberCFP1438J-CDR; Code 109157.

Cite DOI

Silvio Barra, Andrea Casanova, Fabio Narducci, Stefano Ricciardi (2014). Ubiquitous iris recognition by means of mobile devices. Pattern Recognition Letters Volume 57, 1 May 2015, Pages 66-73.

Cite DOI

Silvio Barra, Maria De Marsico, Michele Nappi, Daniel Riccio (2014). Complex numbers as a compact way to represent scores and their reliability in recognition by multi-biometric fusion. International Journal of Pattern Recognition and Artificial Intelligence Volume 28, Issue 7, 2014, Article number 1460003.

Cite DOI

Silvio Barra, Maria De Marsico, Chiara Galdi (2014). Automatic face image tagging in large collections. Face Recognition in Adverse Conditions April 30, 2014, Pages 336-358.

Cite DOI

Silvio Barra, Maria De Marsico, Michele Nappi, Daniel Riccio (2014). Unconstrained ear processing: What is possible and what must be done. Lecture Notes in Electrical Engineering Volume 292, 2014, Pages 129-190.

Cite DOI

Silvio Barra, Maria De Marsico, Chiara Galdi, Daniel Riccio, Harry Wechsler (2013). Fame: Face authentication for mobile encounter. 2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, BioMS 2013 - Proceedings 2013, Article number 6656140, Pages 1-7 2013 4th IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, BioMS 2013; Napoli; Italy; 9 September 2013 through 9 September 2013; Category numberCFP1338J-CDR; Code 102016.

Cite DOI