1 citations · 6 across the 22 of their papers we have counts for
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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…
A Proactive Uncertainty driven Model for Tasks Offloading
Maria Papathanasaki, Panagiotis Fountas, Kostas Kolomvatsos
The ever-increasing demands of end-users on the Internet of Things (IoT), often cause great congestion in the nodes that serve their requests. Therefore, the problem of node overlo…
Proactive Tasks Management based on a Deep Learning Model
Kostas Kolomvatsos, Christos Anagnotopoulos
Pervasive computing applications deal with intelligence surrounding users that can facilitate their activities. This intelligence is provided in the form of software components inc…