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Elenco Pubblicazioni - Publications (1289)

G. Amato, F. Carrara, F. Falchi, C. Gennaro, C. Vairo: "Car parking occupancy detection using smart camera networks and Deep Learning", 2016 IEEE Symposium on Computers and Communication (ISCC), 1212-1217

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This paper presents an approach for real-time car parking occupancy detection that uses a Convolutional Neural Network (CNN) classifier running on-board of a smart camera with limited resources. Experiments show that our technique is very…
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S.Gelli, A.Bacci, M.Martorella, F.Berizzi "Extended Space Doppler Adaptive Processing for Bistatic Multichannel ISAR imaging of targets masked by strong clutter" European Conference on Synthetic Aperture Radar (EuSAR), June 2016, Hamburg

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SAR systems are unable to obtain well focused images of non-cooperative targets in the scene. Moreover, the spreading effect induced by the uncompensated target motion leads to low detection capability. For this reason clutter suppression…
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Santarelli MF, Della Latta D., Scipioni M., Positano V., Landini L., "A Conway–Maxwell–Poisson (CMP) model to address data dispersion on positron emission tomography.", Computers in Biology and Medicine. 77(1): 90-101

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Abstract: Positron emission tomography (PET) in medicine exploits the properties of positron-emitting unstable nuclei. The pairs of γ-rays emitted after annihilation are revealed by coincidence detectors and stored as projections in a sinogram. It is…
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V. Arnaboldi, M. G. Campana, F. Delmastro, E. Pagani, "A personalized recommender system for pervasive social networks", Pervasive and Mobile Computing, 2016

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The current availability of interconnected portable devices, and the advent of the Web 2.0, raise the problem of supporting anywhere and anytime access to a huge amount of content, generated and shared by mobile users.…
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V. Arnaboldi, M. G. Campana, F. Delmastro, E. Pagani, "PLIERS: a popularity-based recommender system for content dissemination in online social networks", ACM SAC 2016, Pisa, IT, April 4-8, 2016

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Online social networks (OSNs) allow users to generate items and tag or rate them in order to help others in the identification of useful content. In this paper, we propose a novel tag-based recommender system…
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