Information derived from wearable sensors, such as illness/fall alarms, can be enhanced with context information to provide advanced health care and assisted living applications. I...
Alessia Salmeri, Carlo Alberto Licciardi, Luca Lam...
It is well known that incremental learning can often be difficult for traditional neural network systems, due to newly learned information interfering with previously learned infor...
In previous work, we developed a framework for expressing general preference information in default logic and logic programming. Here we show that the approach of Brewka and Eiter ...
We present a hierarchical planning system and its application to robotic manipulation. The novel features of the system are: 1) it finds high-quality kinematic solutions to task-l...
The purpose of this paper is to provide a solution which allows automatic reasoning processes over Moodle activities logs, in order to obtain user-personalized recommendations. Act...