Sascha Hauke

TL;DR: This work contributes to understanding why trust establishment is important in the Cloud computing landscape, how trust can act as a facilitator in this context and what are the exact requirements for trust and reputation models (or systems) to support the consumers in establishing trust on Cloud providers.

TL;DR: Evidence is presented that a cognitively challenging working-memory task is followed by greater activation of the DMN than a simple letter-matching task, which might be interpreted as a functional correlate of self-evaluation and reflection of the preceding task or as relocation of cerebral resources representing recovery from high cognitive demands.

TL;DR: In this article, the authors utilize features of network flows, characterized by their entropy, together with an extended version of the original Replicator Neural Network (RNN) and deep learning techniques to learn models of normality.

TL;DR: This analysis demonstrated the use of machine learning techniques to predict HIV-1 resistance against maturation inhibitors such as Bevirimat by combining structural and sequence-based information in classifier ensembles.

TL;DR: This work presents an evolutionary approach to solve the Rubik's Cube with a low number of moves by building upon the classic Thistlethwaite's approach and designs an Evolutionary Algorithm from the ground up including detailed derivation of the authors' custom fitness functions.