Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Alberto Testolin"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract With the large increase in human marine activity, our seas have become populated with vessels that can be overheard from distances of even 20 km. Prior investigations showed that such a dense presence of vessels impacts the behaviour of mari
Externí odkaz:
https://doaj.org/article/d909d4ff4ab04940986a83b48cfeb9b4
Autor:
Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, Alberto Testolin
Publikováno v:
Sensors, Vol 24, Iss 9, p 2863 (2024)
The recent scientific literature abounds in proposals of seizure forecasting methods that exploit machine learning to automatically analyze electroencephalogram (EEG) signals. Deep learning algorithms seem to achieve a particularly remarkable perform
Externí odkaz:
https://doaj.org/article/193617c8dce04f588d7c7094fdadf3cb
Autor:
Alberto Testolin
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 744 (2024)
Creating learning models that can exhibit sophisticated reasoning abilities is one of the greatest challenges in deep learning research, and mathematics is rapidly becoming one of the target domains for assessing scientific progress in this direction
Externí odkaz:
https://doaj.org/article/47440de490f6402ea5644a7bc5711392
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
Effective conservation of maritime environments and wildlife management of endangered species require the implementation of efficient, accurate and scalable solutions for environmental monitoring. Ecoacoustics offers the advantages of non-invasive, l
Externí odkaz:
https://doaj.org/article/e458b1ade0354166ad0fb5d7f4decbb2
Publikováno v:
Brain Informatics, Vol 8, Iss 1, Pp 1-13 (2021)
Abstract Multivariate prediction of human behavior from resting state data is gaining increasing popularity in the neuroimaging community, with far-reaching translational implications in neurology and psychiatry. However, the high dimensionality of n
Externí odkaz:
https://doaj.org/article/0568ce88caa14a438924095e35d7b5f6
Autor:
Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, Alberto Testolin
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4262 (2023)
There is an increasing interest in applying artificial intelligence techniques to forecast epileptic seizures. In particular, machine learning algorithms could extract nonlinear statistical regularities from electroencephalographic (EEG) time series
Externí odkaz:
https://doaj.org/article/3bed75083be24e7ab6e551959c5f5a2f
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Abstract Numerosity perception is thought to be foundational to mathematical learning, but its computational bases are strongly debated. Some investigators argue that humans are endowed with a specialized system supporting numerical representations;
Externí odkaz:
https://doaj.org/article/55aa0b505118401e83a905dcc5901699
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0249320 (2021)
IntroductionThe hypothesis of a general psychopathology factor that underpins all common forms of mental disorders has been gaining momentum in contemporary clinical research and is known as the p factor hypothesis. Recently, a semiotic, embodied, an
Externí odkaz:
https://doaj.org/article/6f3f74fd65a2403b90810f3b22f25102
Publikováno v:
Cognitive Computation. 15:103-120
Deep belief networks (DBNs) are stochastic neural networks that can extract rich internal representations of the environment from the sensory data. DBNs had a catalytic effect in triggering the deep learning revolution, demonstrating for the very fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77c0d85e676f048ca201659e6994e6f8
https://doi.org/10.1007/s12559-022-10085-5
https://doi.org/10.1007/s12559-022-10085-5
Autor:
Alberto Testolin
Publikováno v:
Frontiers in Human Neuroscience, Vol 14 (2020)
As a full-blown research topic, numerical cognition is investigated by a variety of disciplines including cognitive science, developmental and educational psychology, linguistics, anthropology and, more recently, biology and neuroscience. However, de
Externí odkaz:
https://doaj.org/article/351e7279f43b4ec994683ee6a1f0dfd3