4 citations · 8 across the 15 of their papers we have counts for
5 papers · 1 filter
Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications
Athanasios Tziouvaras, Carolina Fortuna, George Floros +4
Machine learning models deployed in non-stationary environments degrade silently, since as the input distribution drifts their accuracy decays without an error signal and without l…
Graph Neural Networks Based Anomalous RSSI Detection
Blaž Bertalanič, Matej Vnučec, Carolina Fortuna
In today's world, modern infrastructures are being equipped with information and communication technologies to create large IoT networks. It is essential to monitor these networks…
An Overview and Solution for Democratizing AI Workflows at the Network Edge
Andrej Čop, Blaž Bertalanič, Carolina Fortuna
With the process of democratization of the network edge, hardware and software for networks are becoming available to the public, overcoming the confines of traditional cloud provi…
Resource-aware Deep Learning for Wireless Fingerprinting Localization
Gregor Cerar, Blaž Bertalanič, Carolina Fortuna
Location based services, already popular with end users, are now inevitably becoming part of new wireless infrastructures and emerging business processes. The increasingly popular…
Learning to Detect Anomalous Wireless Links in IoT Networks
Gregor Cerar, Halil Yetgin, Blaž Bertalanič +1
After decades of research, the Internet of Things (IoT) is finally permeating real-life and helps improve the efficiency of infrastructures and processes as well as our health. As…