Traveling to unfamiliar regions require a significant effort from novice travelers to plan where to go within a limited duration. In this paper, we propose a smart recommendation...
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
—The core functionality of a wireless sensor network (WSN) is to detect deviations in expected normal behavior and report it to the sink. In this paper, we propose TRACK — a no...
As the amount of available data continues to increase, more and more effective means for discovering important patterns and relationships within that data are required. Although t...
— Forecast, detection and warning of severe weather and related hydro-geological risks is becoming one of the major issues for civil protection. The use of computational intellig...
Erika Coppola, Barbara Tomassetti, Marco Verdecchi...