◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Mădălina Eraşcu

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.DC1
ORCID 0000-0002-0435-5883

identity via Semantic Scholar / OpenAlex

most citedArchitecturing Binarized Neural Networks for Traffic Sign Recognition

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023★ 1 cited

Benchmarking Local Robustness of High-Accuracy Binary Neural Networks for Enhanced Traffic Sign Recognition

Andreea Postovan, Mădălina Eraşcu

Traffic signs play a critical role in road safety and traffic management for autonomous driving systems. Accurate traffic sign classification is essential but challenging due to re…

cs.DC2023

SAGE -- A Tool for Optimal Deployments in Kubernetes Clusters

Vlad-Ioan Luca, Madalina Erascu

Cloud computing has brought a fundamental transformation in how organizations operate their applications, enabling them to achieve affordable high availability of services. Kuberne…

cs.CV2023★ 2 cited

Architecturing Binarized Neural Networks for Traffic Sign Recognition

Andreea Postovan, Mădălina Eraşcu

Traffic signs support road safety and managing the flow of traffic, hence are an integral part of any vision system for autonomous driving. While the use of deep learning is well-k…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.