Andrea Vaccari

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This paper illustrates how aggregated mobile phone network activity logs provide anonymous information that reveals valuable insight into the presence of tourists visiting a city. Technologies supporting pervasive services like cellular networks have the potential to generate vast quantities of detailed subscriber data, raising important privacy concerns.(More)
The [3H]Tyramine (TY) binding site is proposed as a high affinity marker of the membrane carrier for dopamine (DA) in synaptic vesicles from DA-rich brain regions. Under precise assay conditions, there is neither a consistent association of TY with the neuronal, cocaine-sensitive DA transporter, nor with mitochondrial or microsomal targets. TY-labeled sites(More)
In the past, sensors networks in cities have been limited to fixed sensors, embedded in particular locations, under centralised control. Today, new applications can leverage wireless devices and use them as sensors to develop aggregated information. In this paper, we show that the emerging patterns unveiled through the analysis of large sets of aggregated(More)
A number of Ca2+-, K+-, and Na+-channel modulators has been tested with respect to their effects on [3H]tyramine (TY) binding, as a putative marker for the vesicular dopamine (DA) transporter in striatal membrane preparations containing vesicle ghosts. Among organic Ca2+-channel modulators, the diphenylalkylamines tested consistently inhibited TY binding:(More)
[3H]Spiperone ([3H]SPI) binding sites in rat or bovine striata have been solubilized using CHAPS or digitonin detergents. Solubilized sites retained the binding characteristics of those in native membrane preparations. The same solubilized material, however, did not bind [3H]tyramine ([3H]PTA), thus indicating that [3H]PTA binding sites and DA receptors are(More)
Pervasive systems produce massive amounts of data as by-products of their interaction with users. Cell phone calls can inform us on how many people are present in a given area and how many are entering or leaving it. Geotagged photos can tell us where tourists go within the city and how much time they spend in each place. Descriptions of events, products,(More)
Over the past decade there has been an explosion in the deployment of pervasive systems like cell phone networks and content aggregators on the Internet that produce massive amounts of data as by-products of their interaction with users. This data is related to the actions and opinions of people and thereby to the overall dynamics of cities, how they(More)
With the growing availability and wide distribution of low-cost, high-performance 3D imaging sensors, the image analysis community has witnessed an increased demand for solutions to the challenges of activity recognition and person identification. We propose an integrated framework, based on graph signal processing, that simultaneously performs both tasks(More)
In this paper, we outline an algorithm for the automatic segmentation of sparse data in order to detect possible terrain-deformation phenomena. Segmentation is accomplished through a graph cut technique. In the graph structure, for each edge, we derive a unique energy by combining multiple independent energies tailored toward accurately locating the(More)