Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Micheletto, Marco"'
Autor:
Perelli, Gianpaolo, Panzino, Andrea, Casula, Roberto, Micheletto, Marco, Orrù, Giulia, Marcialis, Gian Luca
The impact of voice disorders is becoming more widely acknowledged as a public health issue. Several machine learning-based classifiers with the potential to identify disorders have been used in recent studies to differentiate between normal and path
Externí odkaz:
http://arxiv.org/abs/2410.16341
Autor:
Amerini, Irene, Barni, Mauro, Battiato, Sebastiano, Bestagini, Paolo, Boato, Giulia, Bonaventura, Tania Sari, Bruni, Vittoria, Caldelli, Roberto, De Natale, Francesco, De Nicola, Rocco, Guarnera, Luca, Mandelli, Sara, Marcialis, Gian Luca, Micheletto, Marco, Montibeller, Andrea, Orru', Giulia, Ortis, Alessandro, Perazzo, Pericle, Puglisi, Giovanni, Salvi, Davide, Tubaro, Stefano, Tonti, Claudia Melis, Villari, Massimo, Vitulano, Domenico
AI-generated synthetic media, also called Deepfakes, have significantly influenced so many domains, from entertainment to cybersecurity. Generative Adversarial Networks (GANs) and Diffusion Models (DMs) are the main frameworks used to create Deepfake
Externí odkaz:
http://arxiv.org/abs/2408.00388
Autor:
Micheletto, Marco, Casula, Roberto, Orrù, Giulia, Carta, Simone, Concas, Sara, La Cava, Simone Maurizio, Fierrez, Julian, Marcialis, Gian Luca
The International Fingerprint Liveness Detection Competition (LivDet) is a biennial event that invites academic and industry participants to prove their advancements in Fingerprint Presentation Attack Detection (PAD). This edition, LivDet2023, propos
Externí odkaz:
http://arxiv.org/abs/2309.15578
Autor:
Micheletto, Marco, Orrù, Giulia, Casula, Roberto, Yambay, David, Marcialis, Gian Luca, Schuckers, Stephanie C.
Fingerprint authentication systems are highly vulnerable to artificial reproductions of fingerprint, called fingerprint presentation attacks. Detecting presentation attacks is not trivial because attackers refine their replication techniques from yea
Externí odkaz:
http://arxiv.org/abs/2202.07259
Publikováno v:
IEEE Transactions on Information Forensics and Security (2021)
The diffusion of fingerprint verification systems for security applications makes it urgent to investigate the embedding of software-based presentation attack detection algorithms (PAD) into such systems. Companies and institutions need to know wheth
Externí odkaz:
http://arxiv.org/abs/2110.10567
Autor:
Gao, Jie, Micheletto, Marco, Orrù, Giulia, Concas, Sara, Feng, Xiaoyi, Marcialis, Gian Luca, Roli, Fabio
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part C
Autor:
Casula, Roberto, Micheletto, Marco, Orrù, Giulia, Delussu, Rita, Concas, Sara, Panzino, Andrea, Marcialis, Gian Luca
Publikováno v:
2021 IEEE International Joint Conference on Biometrics (IJCB), 2021, pp. 1-6
The International Fingerprint Liveness Detection Competition is an international biennial competition open to academia and industry with the aim to assess and report advances in Fingerprint Presentation Attack Detection. The proposed "Liveness Detect
Externí odkaz:
http://arxiv.org/abs/2108.10183
In this study we investigate a textural processing method of electroencephalography (EEG) signal as an indicator to estimate the driver's vigilance in a hypothetical Brain-Computer Interface (BCI) system. The novelty of the solution proposed relies o
Externí odkaz:
http://arxiv.org/abs/2010.06412
Publikováno v:
2020 IEEE 4th International Conference on Image Processing, Applications and Systems (IPAS), Genova, Italy, 2020, pp. 77-82
In the last five years, deep learning methods, in particular CNN, have attracted considerable attention in the field of face-based recognition, achieving impressive results. Despite this progress, it is not yet clear precisely to what extent deep fea
Externí odkaz:
http://arxiv.org/abs/2010.04072
Publikováno v:
In Pattern Recognition Letters July 2023 171:192-200