19 citations · 30 across the 8 of their papers we have counts for
3 papers · 1 filter
Ensemble-based modeling abstractions for modern self-optimizing systems
Michal Töpfer, Milad Abdullah, Tomáš Bureš +2
In this paper, we extend our ensemble-based component model DEECo with the capability to use machine-learning and optimization heuristics in establishing and reconfiguration of aut…
Online ML Self-adaptation in Face of Traps
Michal Töpfer, František Plášil, Tomáš Bureš +3
Online machine learning (ML) is often used in self-adaptive systems to strengthen the adaptation mechanism and improve the system utility. Despite such benefits, applying online ML…
Forming Ensembles at Runtime: A Machine Learning Approach
Tomáš Bureš, Ilias Gerostathopoulos, Petr Hnětynka +1
Smart system applications (SSAs) built on top of cyber-physical and socio-technical systems are increasingly composed of components that can work both autonomously and by cooperati…