output
20122026
most citedLearning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

226 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
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7 papers · 1 filter

cs.NI2026

Fusion or Confusion? Potential and Challenges in Fusion of Onboard Sensors and V2X Data in Cooperative Perception

Amir Mohammadisarab, Miguel Sepulcre, Luca Lusvarghi +5

Connected Automated Vehicles (CAVs) utilize their onboard sensors to perceive the environment. The perception range and accuracy can be affected by adverse weather or non-line-of-s…

cs.NI2026

Importance of Intent-Sharing for V2X-based Maneuver Coordination

Rafael Molina-Masegosa, Sergei S. Avedisov, Miguel Sepulcre +3

This paper examines the critical role of intent-sharing in enabling effective maneuver coordination for connected and automated vehicles (CAVs). Successful maneuver coordinations r…

cs.NI2026

5G NR Non-Terrestrial Networks: From Early Results to the Road Ahead

Mattia Figaro, Francesco Rossato, Marco Giordani +7

This paper overviews the 3GPP 5G NR-NTN standard, detailing the evolution from Rel. 18 to 19 and innovations for Rel. 20. Using realistic ns-3 simulations validated against 3GPP ca…

cs.NI2025★ 1 cited

Sensing-Based Beamformed Resource Allocation in Standalone Millimeter-Wave Vehicular Networks

Alessandro Traspadini, Anay Ajit Deshpande, Marco Giordani +3

In 3GPP New Radio (NR) Vehicle-to-Everything (V2X), the new standard for next-generation vehicular networks, vehicles can autonomously select sidelink resources for data transmissi…

cs.NI2023★ 35 cited

Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices

Xiaolong Tu, Anik Mallik, Dawei Chen +4

Today, deep learning optimization is primarily driven by research focused on achieving high inference accuracy and reducing latency. However, the energy efficiency aspect is often…

cs.NI2014

Adaptive Content Control for Communication amongst Cooperative Automated Vehicles

Mohammad Fanaei, Amin Tahmasbi-Sarvestani, Yaser P. Fallah +3

Cooperative automated vehicles exchange information to assist each other in creating a more precise and extended view of their surroundings, with the aim of improving automated-dri…

cs.NI2012★ 3 cited

Mixture Models of Endhost Network Traffic

John Mark Agosta, Jaideep Chandrashekar, Mark Crovella +2

In this work we focus on modeling a little studied type of traffic, namely the network traffic generated from endhosts. We introduce a parsimonious parametric model of the marginal…