Zobrazeno 1 - 10
of 172
pro vyhledávání: '"A, Merizzi"'
Autor:
Merizzi, Fabio
In this study we introduce a new technique for the generation of terrain maps, exploiting a combination of procedural generation and Neural Style Transfer. We consider our approach to be a viable alternative to competing generative models, with our t
Externí odkaz:
http://arxiv.org/abs/2403.08782
The Copernicus Regional Reanalysis for Europe, CERRA, is a high-resolution regional reanalysis dataset for the European domain. In recent years it has shown significant utility across various climate-related tasks, ranging from forecasting and climat
Externí odkaz:
http://arxiv.org/abs/2401.15469
Autor:
Asperti, Andrea, Merizzi, Fabio, Paparella, Alberto, Pedrazzi, Giorgio, Angelinelli, Matteo, Colamonaco, Stefano
In recent years traditional numerical methods for accurate weather prediction have been increasingly challenged by deep learning methods. Numerous historical datasets used for short and medium-range weather forecasts are typically organized into a re
Externí odkaz:
http://arxiv.org/abs/2308.06733
Autor:
Merizzi, Fabio, Saillard, Perrine, Acquier, Oceane, Morotti, Elena, Piccolomini, Elena Loli, Calatroni, Luca, Dessì, Rosa Maria
The unprecedented success of image reconstruction approaches based on deep neural networks has revolutionised both the processing and the analysis paradigms in several applied disciplines. In the field of digital humanities, the task of digital recon
Externí odkaz:
http://arxiv.org/abs/2306.14209
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
In this paper, we combine the deep image prior (DIP) framework with a style transfer (ST) technique to propose a novel approach (called DIP-ST) for image inpainting of artworks. We specifically tackle cases where the regions to fill in are large. Hen
Externí odkaz:
https://doaj.org/article/d2ef67be163b4fae95507b3e166c9a37
Denoising Diffusion models are gaining increasing popularity in the field of generative modeling for several reasons, including the simple and stable training, the excellent generative quality, and the solid probabilistic foundation. In this article,
Externí odkaz:
http://arxiv.org/abs/2301.07485
Autor:
Sabrina Quattrini, Alessandra Merizzi, Ioana Caciula, Lena Napradean, Maria João Azevedo, Sandra Costa, Sara Santini
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background The positive effects of active and passive music activities on older people with dementia are well and largely documented by the literature. Nevertheless, the use of music as a non-pharmacological intervention is not so common bot
Externí odkaz:
https://doaj.org/article/a83b43375b1a444185da6442ab7641ba
Autor:
Giulio Kai Saragiotto, Luiz Felipe Valter deOliveira, Nayara Kastem Scharlack, Milena Merizzi deOliveira, Fernanda Campos Freire, Fernando Moreira Simabuco, Katia Sivieri, Adilson Sartoratto, Taisa Belli, Adriane Elisabete Costa Antunes
Publikováno v:
Physiological Reports, Vol 12, Iss 16, Pp n/a-n/a (2024)
Abstract Obesity is characterized by specific changes in the composition of the gut microbiota (GM). Exercise can contribute to the modulation of GM. This is the first case study to analyze the composition and metabolism of the GM of an obese runner
Externí odkaz:
https://doaj.org/article/c532e6d4afbb4b4c901c35b01a123681
In shaping the Internet of Money, the application of blockchain and distributed ledger technologies (DLTs) to the financial sector triggered regulatory concerns. Notably, while the user anonymity enabled in this field may safeguard privacy and data p
Externí odkaz:
http://arxiv.org/abs/2206.04803
Autor:
Fabio Merizzi, Perrine Saillard, Oceane Acquier, Elena Morotti, Elena Loli Piccolomini, Luca Calatroni, Rosa Maria Dessì
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-22 (2024)
Abstract The unprecedented success of image reconstruction approaches based on deep neural networks has revolutionised both the processing and the analysis paradigms in several applied disciplines. In the field of digital humanities, the task of digi
Externí odkaz:
https://doaj.org/article/8922a12fe008422ab46931bd69b416e9