Zobrazeno 1 - 10
of 3 225
pro vyhledávání: '"Proverbio A"'
The true slime mold \textit{Physarum polycephalum} has the remarkable capability to perform self-organized activities such as network formation among food sources. Despite well reproducing the emergence of slime networks, existing models are limited
Externí odkaz:
http://arxiv.org/abs/2412.19790
Epilepsy is known to drastically alter brain dynamics during seizures (ictal periods). However, whether epilepsy may alter brain dynamics during background (non-ictal) periods is less understood. To investigate this, we analyzed the brain activity of
Externí odkaz:
http://arxiv.org/abs/2412.01911
Augmenting classical epidemiological models with information from the social sciences helps unveil the interplay between contagion dynamics and social responses. However, multidisciplinary integration of social analysis and epidemiological modelling
Externí odkaz:
http://arxiv.org/abs/2410.10472
We introduce and analyze generalised polynomial chaos (gPC), considering both intrusive and non-intrusive approaches, as an uncertainty quantification method in studies of probabilistic robustness. The considered gPC methods are complementary to Mont
Externí odkaz:
http://arxiv.org/abs/2406.13489
Autor:
Buscemi, Alessio, Proverbio, Daniele
The ethical implications and potentials for misuse of Generative Artificial Intelligence are increasingly worrying topics. This paper explores how easily the default ethical guardrails of ChatGPT, using its latest customization features, can be bypas
Externí odkaz:
http://arxiv.org/abs/2407.15009
Autor:
Buscemi, Alessio, Proverbio, Daniele
Democratic opinion-forming may be manipulated if newspapers' alignment to political or economical orientation is ambiguous. Various methods have been developed to better understand newspapers' positioning. Recently, the advent of Large Language Model
Externí odkaz:
http://arxiv.org/abs/2406.00018
Autor:
Buscemi, Alessio, Proverbio, Daniele
Automated sentiment analysis using Large Language Model (LLM)-based models like ChatGPT, Gemini or LLaMA2 is becoming widespread, both in academic research and in industrial applications. However, assessment and validation of their performance in cas
Externí odkaz:
http://arxiv.org/abs/2402.01715
Autor:
Alice Mado Proverbio, Elham Sanoubari
Publikováno v:
Neuroimage: Reports, Vol 4, Iss 4, Pp 100219- (2024)
This study aimed to examine differences in the brain activity of professional musicians and non-musicians, particularly in relation to neuroplastic changes that may be associated with musical training. Specifically, we investigated whether the abilit
Externí odkaz:
https://doaj.org/article/b44a54dc7bbf40c0bd6f5cc0ac75ef34
Publikováno v:
Frontiers in Cognition, Vol 3 (2024)
Environmental hypoxia, resulting from reduced oxygen supply, poses a significant risk of dysfunctioning and damaging the neurocognitive system, particularly in relation to anxiety and stress. Inadequate oxygenation can lead to acute and chronic brain
Externí odkaz:
https://doaj.org/article/ab090f50bdd74fe2b42d6948557b0a03
Publikováno v:
Phys. Rev. Research 4, 043195 (2022)
Time-series analysis is fundamental for modeling and predicting dynamical behaviors from time-ordered data, with applications in many disciplines such as physics, biology, finance, and engineering. Measured time-series data, however, are often low di
Externí odkaz:
http://arxiv.org/abs/2301.04108