Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the m...
Non-rigid 3D shape recovery is an inherently ambiguous problem. Given a specific rigid motion, different non-rigid shapes can be found that fit the measurements. To solve this am...
In this paper, we present a rule-based modelling language for constraint programming, called Rules2CP. Unlike other modelling languages, Rules2CP adopts a single knowledge represen...
Wireless sensor, actuator networks (WSANs) distinguish themselves from wireless sensor networks by the need to coordinate actuators' actions, real-time constraints on communi...
The adoption of general intervention plans (guidelines) according to the particular circumstances of both the patient and the doctor's diagnostic is a very challenging task. A...
David Isern, Antonio Moreno, Gianfranco Pedone, Da...