Fabrizio Antonelli

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Detour behaviour is the ability of an animal to reach a goal stimulus by moving round any interposed obstacle. It has been widely studied and has been proposed as a test of insight learning in several species of mammals, but few data are available in birds. A comparative study in three species of birds, belonging to different eco-ethological niches, allows(More)
The pervasiveness of mobile phones creates an unprecedented opportunity for analyzing human dynamics with the help of the data they generate. This enables a novel human-driven approach for service creation in a variety of domains (e.g., healthcare, transportation, etc.) Telecom operators own and manage billions of mobile network events (Call Detailed(More)
Every day, billions of mobile network events (commonly defined as Call Detailed Records, or CDRs) are generated by cellular phone operator companies. Latent in this data are inspiring insights about human actions and behaviors, the discovery of which is important because context-aware applications and services hold the key to user-driven, intelligent(More)
This article introduces a framework for creating rich augmented environments based on a social web of intelligent things and people. We target outdoor environments, aiming to transform a region into a smart environment that can share its cultural heritage with people, promoting itself and its special qualities. Using the applications developed in the(More)
In this paper, we present SecondNose, an air quality mobile crowdsensing service, aimed at collecting environmental data to monitor some air pollution indicators to foster participants' reflection on their overall exposure to pollutants. Currently, SecondNose aggregates more than 30k data points daily from 80 citizens in Trento, northern Italy. The paper(More)
Streams of information flow through our cities thanks to: their progressive instrumentation with diverse sensors, a wide adoption of smart phones and social networks, and a growing open release of datasets. City Data Fusion project investigates techniques to visualise the pulse of our cities in real-time by fusing and making sense of all those information(More)
A geographically homogeneous group of citizens shares much common knowledge, characteristics of their culture and history. This knowledge is captured for the use in an item-based recommender system that uses textual information, by introducing bias corpora: newspaper articles that represent the shared knowledge. We present a technique for incorporating and(More)
The exploration of people’s everyday life has long been of interest to social scientists. Recent years have witnessed a growing interest in analyzing human behavioral data generated by technology (e.g. mobile phones). To date, a few large-scale studies have been designed to measure human behaviors and interactions using multiple sources of data. A common(More)