The rise of large-scale socio-technical systems in which humans interact...
We consider dense, associative neural-networks trained by a teacher (i.e...
We consider dense, associative neural-networks trained with no supervisi...
Navigation apps use routing algorithms to suggest the best path to reach...
Increased availability of epidemiological data, novel digital data strea...
The pervasive application of algorithmic decision-making is raising conc...
We describe in this report our studies to understand the relationship be...
Understanding collective mobility patterns is crucial to plan the restar...
The rapid dynamics of COVID-19 calls for quick and effective tracking of...
We present an approach to explain the decisions of black box models for ...
Black box systems for automated decision making, often based on machine
...
The recent years have witnessed the rise of accurate but obscure decisio...
The flow of information reaching us via the online media platforms is
op...
The problem of rating the performance of soccer players is attracting th...
In the last years many accurate decision support systems have been
const...
Humans are routinely asked to evaluate the performance of other individu...
Constraint programming is used for a variety of real-world optimisation
...