75 citations · 132 across the 13 of their papers we have counts for
14 papers
Exploration and Comparison of Deep Learning Architectures to Predict Brain Response to Realistic Pictures
Riccardo Chimisso, Sathya Buršić, Paolo Marocco +2
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 ex…
Astronomical research in the next decade: trends, barriers and needs in data access, management, visualization and analysis
C. Bordiu, F. Bufano, E. Sciacca +5
We report the outcomes of a survey that explores the current practices, needs and expectations of the astrophysics community, concerning four research aspects: open science practic…
Calibrating Wayfinding Decisions in Pedestrian Simulation Models: The Entropy Map
Luca Crociani, Giuseppe Vizzari, Stefania Bandini
This paper presents entropy maps, an approach to describing and visualising uncertainty among alternative potential movement intentions in pedestrian simulation models. In particul…
Mining the Social Media Data for a Bottom-Up Evaluation of Walkability
Christian Berzi, Andrea Gorrini, Giuseppe Vizzari
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 cit…
The Role of Compliance in Heterogeneous Interacting Agents: Data from Observations
Stefania Bandini, Luca Crociani, Giuseppe Vizzari +2
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…
Micro and Macro Pedestrian Dynamics in Counterflow: the Impact of Social Groups
Luca Crociani, Andrea Gorrini, Claudio Feliciani +3
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…