most citedAttribute network models, stochastic approximation, and network sampling and ranking algorithms

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.NI2025

Confidence Driven Classification of Application Types in the Presence of Background Network Traffic

Eun Hun Choi, Jasleen Kaur, Vladas Pipiras +2

Accurately classifying the application types of network traffic using deep learning models has recently gained popularity. However, we find that these classifiers do not perform we…

math.PR2023★ 1 cited

Attribute network models, stochastic approximation, and network sampling and ranking algorithms

Nelson Antunes, Sayan Banerjee, Shankar Bhamidi +1

We analyze dynamic random network models where younger vertices connect to older ones with probabilities proportional to their degrees as well as a propensity kernel governed by th…