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pro vyhledávání: '"Medina, Pablo A."'
Autor:
Romero-Saldaña, Manuel, Sánchez-Thevenet, Paula, Almodóvar-Fernández, Isabel, González-Moret, Rafael, Salas-Medina, Pablo, Ranchal-Sánchez, Antonio, Gutiérrez-Sánchez, Daniel, López-Leiva, Inmaculada
Publikováno v:
In Nurse Education Today October 2024 141
Autor:
Useche, Andrés F., Sarmiento, Olga L., Álvarez-Rivadulla, María José, Medina, Pablo, Higuera-Mendieta, Diana, Montes, Felipe
Publikováno v:
In Cities September 2024 152
Autor:
Biswas, Rubel, Blanco-Medina, Pablo
Working with Child Sexual Exploitation Material (CSEM) in forensic applications might be benefited from the progress in automatic face recognition. However, discriminative parts of a face in CSEM, i.e., mostly the eyes, could be often occluded to dif
Externí odkaz:
http://arxiv.org/abs/2108.11821
Autor:
Biswas, Rubel, Blanco-Medina, Pablo
Perceptual image hashing methods are often applied in various objectives, such as image retrieval, finding duplicate or near-duplicate images, and finding similar images from large-scale image content. The main challenge in image hashing techniques i
Externí odkaz:
http://arxiv.org/abs/2108.11794
We discuss when law-invariant convex functionals "collapse to the mean". More precisely, we show that, in a large class of spaces of random variables and under mild semicontinuity assumptions, the expectation functional is, up to an affine transforma
Externí odkaz:
http://arxiv.org/abs/2009.04144
Autor:
Fernandez, Eduardo Fidalgo, Carofilis, Roberto Andrés Vasco, Martino, Francisco Jáñez, Medina, Pablo Blanco
One of the tasks of law enforcement agencies is to find evidence of criminal activity in the Darknet. However, visiting thousands of domains to locate visual information containing illegal acts manually requires a considerable amount of time and reso
Externí odkaz:
http://arxiv.org/abs/2005.10086
Autor:
Biswas, Rubel, Vasco-Carofilis, Roberto A., Fernandez, Eduardo Fidalgo, Martino, Francisco Jáñez, Medina, Pablo Blanco
The Tor darknet hosts different types of illegal content, which are monitored by cybersecurity agencies. However, manually classifying Tor content can be slow and error-prone. To support this task, we introduce Frequency-Dominant Neighborhood Structu
Externí odkaz:
http://arxiv.org/abs/2005.10090
Autor:
Medina, Pablo Blanco, Fernandez, Eduardo Fidalgo, Alegre, Enrique, Martino, Francisco Jáñez, Vasco-Carofilis, Roberto A., Villar, Víctor Fidalgo
Industrial Control Systems depend heavily on security and monitoring protocols. Several tools are available for this purpose, which scout vulnerabilities and take screenshots from various control panels for later analysis. However, they do not adequa
Externí odkaz:
http://arxiv.org/abs/2005.10098
Akademický článek
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Akademický článek
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