2 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
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…
Benchmarking Optimization Solvers and Symmetry Breakers for the Automated Deployment of Component-based Applications in the Cloud (EXTENDED ABSTRACT)
Bogdan David, Madalina Erascu
Optimization solvers based on methods from constraint programming (OR-Tools, Chuffed, Gecode), optimization modulo theory (Z3), and mathematical programming (CPLEX) are successfull…
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…