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9 papers · 1 filter
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks
Paul Almasan, Krzysztof Rusek, Shihan Xiao +4
Storing network traffic data is key to efficient network management; however, it is becoming more challenging and costly due to the ever-increasing data transmission rates, traffic…
Welcome to the Dark Side: Analyzing the Revenue Flows of Fraud in the Online Ad Ecosystem
Emmanouil Papadogiannakis, Nicolas Kourtellis, Panagiotis Papadopoulos +1
The online advertising market has recently reached the 500 billion dollar mark. To accommodate the need to match a user with the highest bidder at a fraction of a second, it has mo…
A Large-scale Examination of "Socioeconomic" Fairness in Mobile Networks
Souneil Park, Pavol Mulinka, Diego Perino
Internet access is a special resource of which needs has become universal across the public whereas the service is operated in the private sector. Mobile Network Operators (MNOs) p…
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
Dewant Katare, Diego Perino, Jari Nurmi +3
Autonomous driving services rely heavily on sensors such as cameras, LiDAR, radar, and communication modules. A common practice of processing the sensed data is using a high-perfor…
A longitudinal study of the top 1% toxic Twitter profiles
Hina Qayyum, Benjamin Zi Hao Zhao, Ian D. Wood +3
Toxicity is endemic to online social networks including Twitter. It follows a Pareto like distribution where most of the toxicity is generated by a very small number of profiles an…
Redshift prediction of Fermi-LAT gamma-ray sources using CatBoost gradient boosting decision trees
Javier Coronado-Blázquez
The determination of distance is fundamental in astrophysics. Gamma-ray sources are poorly characterized in this sense, as the limited angular resolution and poor photon-count stat…