Zobrazeno 1 - 10
of 346
pro vyhledávání: '"Vizzari,Giuseppe"'
Autor:
Cecconello, Thomas, Riggi, Simone, Becciani, Ugo, Vitello, Fabio, Hopkins, Andrew M., Vizzari, Giuseppe, Spampinato, Concetto, Palazzo, Simone
The upcoming Square Kilometer Array (SKA) telescope marks a significant step forward in radio astronomy, presenting new opportunities and challenges for data analysis. Traditional visual models pretrained on optical photography images may not perform
Externí odkaz:
http://arxiv.org/abs/2411.14078
Autor:
Piskovskyi, Valentyn, Chimisso, Riccardo, Patania, Sabrina, Foulsham, Tom, Vizzari, Giuseppe, Ognibene, Dimitri
The purpose of this work is to investigate the soundness and utility of a neural network-based approach as a framework for exploring the impact of image enhancement techniques on visual cortex activation. In a preliminary study, we prepare a set of s
Externí odkaz:
http://arxiv.org/abs/2410.04497
We present an exploration of machine learning architectures for predicting brain responses to realistic images on occasion of the Algonauts Challenge 2023. Our research involved extensive experimentation with various pretrained models. Initially, we
Externí odkaz:
http://arxiv.org/abs/2309.09983
Autor:
Riggi, Simone, Bordiu, Cristobal, Magro, Daniel, Sortino, Renato, Pino, Carmelo, Sciacca, Eva, Bufano, Filomena, Cecconello, Thomas, Vizzari, Giuseppe, Vitello, Fabio, Tudisco, Giuseppe
New developments in data processing and visualization are being made in preparation for upcoming radioastronomical surveys planned with the Square Kilometre Array (SKA) and its precursors. A major goal is enabling extraction of science information fr
Externí odkaz:
http://arxiv.org/abs/2301.02804
Autor:
Sciacca, Eva, Krokos, Mel, Becciani, Ugo, Bordiu, Cristobal, Bufano, Filomena, Costa, Alessandro, Pino, Carmelo, Riggi, Simone, Vitello, Fabio, Brandt, Carlos, Rossi, Angelo, Topa, Eugenio, Mantovani, Simone, Vettorello, Laura, Cecconello, Thomas, Vizzari, Giuseppe
The European Open Science Cloud (EOSC) initiative faces the challenge of developing an agile, fit-for-purpose, and sustainable service-oriented platform that can address the evolving needs of scientific communities. The NEANIAS project plays an activ
Externí odkaz:
http://arxiv.org/abs/2101.07639
Autor:
Feliciani, Claudio, Jia, Xiaolu, Murakami, Hisashi, Ohtsuka, Kazumichi, Vizzari, Giuseppe, Nishinari, Katsuhiro
Publikováno v:
In Transportation Research Part A October 2023 176
This paper presents entropy maps, an approach to describing and visualising uncertainty among alternative potential movement intentions in pedestrian simulation models. In particular, entropy maps show the instantaneous level of randomness in decisio
Externí odkaz:
http://arxiv.org/abs/1909.03054
Urbanization represents a huge opportunity for computer applications enabling cities to be managed more efficiently while, at the same time, improving the life quality of their citizens. One of the potential application of this kind of systems is a b
Externí odkaz:
http://arxiv.org/abs/1712.04309
Autor:
Bandini, Stefania, Crociani, Luca, Vizzari, Giuseppe, da Silva, Flavio Soares Correa, Gorrini, Andrea
The dynamics of agent-based systems provide a framework to face the complexity of pedestrian-vehicle interactions in future cities, in which the compliance to traffic norms plays a fundamental role. The data of an observation performed at a non-signa
Externí odkaz:
http://arxiv.org/abs/1712.01648
Autor:
Crociani, Luca, Gorrini, Andrea, Feliciani, Claudio, Vizzari, Giuseppe, Nishinari, Katsuhiro, Bandini, Stefania
Although it is widely recognised that the presence of groups influences microscopic and aggregated pedestrian dynamics, a precise characterisation of the phenomenon still calls for evidences and insights. The present paper describes micro and macro l
Externí odkaz:
http://arxiv.org/abs/1711.08225