activity
20192025
most citedAugmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning

33 citations · 38 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

A Pipeline of Augmentation and Sequence Embedding for Classification of Imbalanced Network Traffic

Matin Shokri, Ramin Hasibi

Network Traffic Classification (NTC) is one of the most important tasks in network management. The imbalanced nature of classes on the internet presents a critical challenge in cla…

cs.CV2021★ 5 cited

Integrating Sensing and Communication in Cellular Networks via NR Sidelink

Dariush Salami, Ramin Hasibi, Stefano Savazzi +2

RF-sensing, the analysis and interpretation of movement or environment-induced patterns in received electromagnetic signals, has been actively investigated for more than a decade.…

cs.CV2021

Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds

Dariush Salami, Ramin Hasibi, Sameera Palipana +3

We present Tesla-Rapture, a gesture recognition interface for point clouds generated by mmWave Radars. State of the art gesture recognition models are either too resource consuming…

q-bio.QM2020

A Graph Feature Auto-Encoder for the Prediction of Unobserved Node Features on Biological Networks

Ramin Hasibi, Tom Michoel

Motivation: Molecular interaction networks summarize complex biological processes as graphs, whose structure is informative of biological function at multiple scales. Simultaneousl…

cs.NI2019★ 33 cited

Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning

Ramin Hasibi, Matin Shokri, Mehdi Dehghan

One of the most important tasks in network management is identifying different types of traffic flows. As a result, a type of management service, called Network Traffic Classifier…