3 citations · 3 across the 3 of their papers we have counts for
3 papers
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…
Towards fuzzification of adaptation rules in self-adaptive architectures
Tomáš Bureš, Petr Hnětynka, Martin Kruliš +5
In this paper, we focus on exploiting neural networks for the analysis and planning stage in self-adaptive architectures. The studied motivating cases in the paper involve existing…