Zobrazeno 1 - 10
of 828
pro vyhledávání: '"A. Biscione"'
Autor:
Biscione, Valerio, Yin, Dong, Malhotra, Gaurav, Dujmovic, Marin, Montero, Milton L., Puebla, Guillermo, Adolfi, Federico, Heaton, Rachel F., Hummel, John E., Evans, Benjamin D., Habashy, Karim, Bowers, Jeffrey S.
Multiple benchmarks have been developed to assess the alignment between deep neural networks (DNNs) and human vision. In almost all cases these benchmarks are observational in the sense they are composed of behavioural and brain responses to naturali
Externí odkaz:
http://arxiv.org/abs/2404.05290
A wide variety of orthographic coding schemes and models of visual word identification have been developed to account for masked priming data that provide a measure of orthographic similarity between letter strings. These models tend to include hand-
Externí odkaz:
http://arxiv.org/abs/2302.03992
Autor:
Biscione, Valerio, Bowers, Jeffrey S.
Gestalt psychologists have identified a range of conditions in which humans organize elements of a scene into a group or whole, and perceptual grouping principles play an essential role in scene perception and object identification. Recently, Deep Ne
Externí odkaz:
http://arxiv.org/abs/2203.07302
Autor:
Biscione, Valerio, Bowers, Jeffrey S.
Publikováno v:
Journal of Machine Learning Research 2021 22(229) 1-28
When seeing a new object, humans can immediately recognize it across different retinal locations: the internal object representation is invariant to translation. It is commonly believed that Convolutional Neural Networks (CNNs) are architecturally in
Externí odkaz:
http://arxiv.org/abs/2110.05861
Autor:
Biscione, Valerio, Bowers, Jeffrey S.
Publikováno v:
Neural Networks, Volume 150, 2022, Pages 222-236, ISSN 0893-6080
Humans can identify objects following various spatial transformations such as scale and viewpoint. This extends to novel objects, after a single presentation at a single pose, sometimes referred to as online invariance. CNNs have been proposed as a c
Externí odkaz:
http://arxiv.org/abs/2110.01476
Han et al. (2020) reported a behavioral experiment that assessed the extent to which the human visual system can identify novel images at unseen retinal locations (what the authors call "intrinsic translation invariance") and developed a novel convol
Externí odkaz:
http://arxiv.org/abs/2012.05950
Autor:
Biscione, Valerio, Bowers, Jeffrey
When seeing a new object, humans can immediately recognize it across different retinal locations: we say that the internal object representation is invariant to translation. It is commonly believed that Convolutional Neural Networks (CNNs) are archit
Externí odkaz:
http://arxiv.org/abs/2011.11757
Autor:
Ciccarone, Francesca, Biscione, Antonella, Robba, Eleonora, Pasciuto, Tina, Giannarelli, Diana, Gui, Benedetta, Manfredi, Riccardo, Ferrandina, Gabriella, Romualdi, Daniela, Moro, Francesca, Zannoni, Gian Franco, Lorusso, Domenica, Scambia, Giovanni, Testa, Antonia Carla
Publikováno v:
In American Journal of Obstetrics and Gynecology July 2024
Autor:
Biscione, Fernando Martín1 (AUTHOR) fernando.biscione@unimedbh.com.br, Domingues da Silva, Juliano2 (AUTHOR)
Publikováno v:
PLoS ONE. 2/15/2024, Vol. 19 Issue 2, p1-24. 24p.
Publikováno v:
PLoS ONE, Vol 19, Iss 2, p e0290596 (2024)
BackgroundAmbulatory Health Care Networks (Amb-HCN) are circuits of patient referral and counter-referral that emerge, explicitly or spontaneously, between doctors who provide care in their offices. Finding a meaningful analytical representation for
Externí odkaz:
https://doaj.org/article/405ef02d69d64a1097b29f648082d6ba