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of 54
pro vyhledávání: '"Pinelli Fabio"'
With the advent of advanced 4G/5G mobile networks, mobile phone data collected by operators now includes detailed, service-specific traffic information with high spatio-temporal resolution. In this paper, we leverage this type of data to explore its
Externí odkaz:
http://arxiv.org/abs/2411.15214
Publikováno v:
E3S Web of Conferences, Vol 366, p 01012 (2023)
Over the last five years, the acquisition of rotary sidewall cores has become increasingly important in the O&G business. It is a matter of fact that the current tendency is to prefer them as a replacement to bottom hole cores, essentially for rig ti
Externí odkaz:
https://doaj.org/article/d8e58468594747ec85cbdb103e1fd76a
The proliferation of low-quality online information in today's era has underscored the need for robust and automatic mechanisms to evaluate the trustworthiness of online news publishers. In this paper, we analyse the trustworthiness of online news me
Externí odkaz:
http://arxiv.org/abs/2401.01781
Autor:
Galletta, Letterio, Pinelli, Fabio
Blockchain technology has been successfully exploited for deploying new economic applications. However, it has started arousing the interest of malicious actors who deliver scams to deceive honest users and to gain economic advantages. Ponzi schemes
Externí odkaz:
http://arxiv.org/abs/2301.04872
In this work, we propose MUSTACHE, a new page cache replacement algorithm whose logic is learned from observed memory access requests rather than fixed like existing policies. We formulate the page request prediction problem as a categorical time ser
Externí odkaz:
http://arxiv.org/abs/2211.02177
Publikováno v:
IEEE Access, vol. 10, pp. 130642-130656, 2022
Federated learning (FL) goes beyond traditional, centralized machine learning by distributing model training among a large collection of edge clients. These clients cooperatively train a global, e.g., cloud-hosted, model without disclosing their loca
Externí odkaz:
http://arxiv.org/abs/2104.10561
Akademický článek
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Autor:
Diaz-Aviles, Ernesto, Pinelli, Fabio, Lynch, Karol, Nabi, Zubair, Gkoufas, Yiannis, Bouillet, Eric, Calabrese, Francesco, Coughlan, Eoin, Holland, Peter, Salzwedel, Jason
Telecommunications operators (telcos) traditional sources of income, voice and SMS, are shrinking due to customers using over-the-top (OTT) applications such as WhatsApp or Viber. In this challenging environment it is critical for telcos to maintain
Externí odkaz:
http://arxiv.org/abs/1508.02884
Autor:
Dong, Yuxiao, Pinelli, Fabio, Gkoufas, Yiannis, Nabi, Zubair, Calabrese, Francesco, Chawla, Nitesh V.
The pervasiveness and availability of mobile phone data offer the opportunity of discovering usable knowledge about crowd behaviors in urban environments. Cities can leverage such knowledge in order to provide better services (e.g., public transport
Externí odkaz:
http://arxiv.org/abs/1504.03643
Autor:
Diaz-Aviles, Ernesto, Lam, Hoang Thanh, Pinelli, Fabio, Braghin, Stefano, Gkoufas, Yiannis, Berlingerio, Michele, Calabrese, Francesco
Publikováno v:
In Proceedings of the 2014 Recommender Systems Challenge (RecSysChallenge'14). ACM, New York, NY, USA, , Pages 41 , 6 pages
Collaborative Filtering (CF) is a core component of popular web-based services such as Amazon, YouTube, Netflix, and Twitter. Most applications use CF to recommend a small set of items to the user. For instance, YouTube presents to a user a list of t
Externí odkaz:
http://arxiv.org/abs/1412.7990