Optimizing traffic dynamics in an evolving transportation landscape is
c...
Malicious use of deepfakes leads to serious public concerns and reduces
...
One population group that had to significantly adapt and change their
be...
Point cloud completion aims to recover raw point clouds captured by scan...
In recent years, 3D models have been utilized in many applications, such...
Mobile phone data have played a key role in quantifying human mobility d...
Graph Neural Networks (GNNs) have become the leading paradigm for learni...
Urban agglomerations are constantly and rapidly evolving ecosystems, wit...
Following a fast initial breakthrough in graph based learning, Graph Neu...
Multi-domain image-to-image (I2I) translations can transform a source im...
Human perception, memory and decision-making are impacted by tens of
cog...
Due to the subjective crowdsourcing annotations and the inherent inter-c...
Mobility plays a fundamental role in modern cities. How citizens experie...
Recent work has shown that the attention maps of Vision Transformers (VT...
Counterfactual interventions are a powerful tool to explain the decision...
Temporal networks are essential for modeling and understanding systems w...
Federated Leaning is an emerging approach to manage cooperation between ...
Fairness-aware GANs (FairGANs) exploit the mechanisms of Generative
Adve...
Next-location prediction, consisting of forecasting a user's location gi...
The increasingly crucial role of human displacements in complex societal...
Being able to provide counterfactual interventions - sequences of action...
Most of the studies related to human mobility are focused on intra-count...
Temporal graphs are structures which model relational data between entit...
Recently, there has been an increasing interest in image editing methods...
This paper introduces Click to Move (C2M), a novel framework for video
g...
The non-pharmaceutical interventions (NPIs), aimed at reducing the diffu...
Image-to-Image (I2I) multi-domain translation models are usually evaluat...
Visual Transformers (VTs) are emerging as an architectural paradigm
alte...
Statistics on migration flows are often derived from census data, which
...
Thanks to the increasing growth of computational power and data availabi...
The study of human mobility is crucial due to its impact on several aspe...
Manipulating images of complex scenes to reconstruct, insert and/or remo...
Image to image translation aims to learn a mapping that transforms an im...
Manipulating visual attributes of images through human-written text is a...
Using smartphone location data from Colombia, Mexico, and Indonesia, we
...
A fundamental problem of interest to policy makers, urban planners, and ...
Nowadays, 23
metropolises, criminal activity is much higher and violent ...
The rapid dynamics of COVID-19 calls for quick and effective tracking of...
This paper describes how mobile phone data can guide government and publ...
Unsupervised image-to-image translation (UNIT) aims at learning a mappin...
As "Big Data" has become pervasive, an increasing amount of research has...
In Turkey the increasing tension, due to the presence of 3.4 million Syr...
Recent works have shown Generative Adversarial Networks (GANs) to be
par...
This paper investigates the specific experience of following a suggestio...
Mobile phones provide a powerful sensing platform that researchers may a...
Cognition has been found to constrain several aspects of human behaviour...
Many machine learning systems make extensive use of large amounts of dat...
The analysis of credit card transactions allows gaining new insights int...
Access to financial institutions is difficult in developing economies an...
Modern cities are growing ecosystems that face new challenges due to the...