2 papers
cs.NI2026
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.PR2025
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…