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20052026
most citedClustering in Complex Directed Networks

827 citations

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20 papers · 1 filter

cs.CV2022★ 14 cited

Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor

Andrea Mattia Garavagno, Daniele Leonardis, Antonio Frisoli

The current trend of applying transfer learning from convolutional neural networks (CNNs) trained on large datasets can be an overkill when the target application is a custom and d…

physics.soc-ph2022

Structural properties in the diffusion of the solar photovoltaic in Italy: individual people/householder vs firms

Franco Flandoli, Fausto Corvino, Marta Leocata +3

This paper develops two mathematical models to understand subjects' behavior in response to the urgency of a change and inputs from governments e.g., (subsides) in the context of t…

quant-ph2022★ 13 cited

Probabilistic amplitude shaping for continuous-variable quantum key distribution with discrete modulation over a wiretap channel

Michele N. Notarnicola, Stefano Olivares, Enrico Forestieri +3

To achieve the maximum information transfer and face a possible eavesdropper, the samples transmitted in continuous-variable quantum key distribution (CV-QKD) protocols are to be d…

cs.IT2022★ 19 cited

On the Nonlinear Shaping Gain with Probabilistic Shaping and Carrier Phase Recovery

Stella Civelli, Emanuele Parente, Enrico Forestieri +1

The performance of different probabilistic amplitude shaping (PAS) techniques in the nonlinear regime is investigated, highlighting its dependence on the PAS block length and the i…

cs.CR2022★ 7 cited

Upgrading the protection of children from manipulative and addictive strategies in online games: Legal and technical solutions beyond privacy regulation

Tommaso Crepax, Jan Tobias Muehlberg

Despite the increasing awareness from academia, civil society and media to the issue of child manipulation online, the current EU regulatory system fails at providing sufficient le…

cs.LG2022★ 2 cited

Disentangling private classes through regularization

Enzo Tartaglione, Francesca Gennari, Marco Grangetto

Deep learning models are nowadays broadly deployed to solve an incredibly large variety of tasks. However, little attention has been devoted to connected legal aspects. In 2016, th…