167 citations · 211 across the 13 of their papers we have counts for
4 papers · 1 filter
Inferring probabilistic Boolean networks from steady-state gene data samples
Vytenis Šliogeris, Leandros Maglaras, Sotiris Moschoyiannis
Probabilistic Boolean Networks have been proposed for estimating the behaviour of dynamical systems as they combine rule-based modelling with uncertainty principles. Inferring PBNs…
Deep Reinforcement Learning for Stabilization of Large-scale Probabilistic Boolean Networks
Sotiris Moschoyiannis, Evangelos Chatzaroulas, Vytenis Sliogeris +1
The ability to direct a Probabilistic Boolean Network (PBN) to a desired state is important to applications such as targeted therapeutics in cancer biology. Reinforcement Learning…
Electric Vehicle Charging: a Survey on the Security Issues and Challenges of the Open Charge Point Protocol (OCPP)
Z. Garofalaki, D. Kosmanos, S. Moschoyiannis +2
The increased use of smart Electric Vehicles (EVs) and Plug-in Electric Vehicles (PEV) opened a new area of research and development. The number of EV charging sites has considerab…
Spontaneous Emergence of Computation in Network Cascades
Galen Wilkerson, Sotiris Moschoyiannis, Henrik Jeldtoft Jensen
Neuronal network computation and computation by avalanche supporting networks are of interest to the fields of physics, computer science (computation theory as well as statistical…