Modeling the performance behavior of parallel applications to predict the execution times of the applications for larger problem sizes and number of processors has been an active ...
The paper presents an evaluation method for e-learning platforms, based on different types of measurements collected in logs of interactions during learning sessions, and on the an...
Vlad Posea, Dan Mihaila, Stefan Trausan-Matu, Vale...
Results are presented of a simulation which mimics an evolutionary learning process for small networks. Special features of these networks include a high recurrency, a transition ...
Background: The extraction of biological knowledge from genome-scale data sets requires its analysis in the context of additional biological information. The importance of integra...
David J. Reiss, Iliana Avila-Campillo, Vesteinn Th...
In the last decade, e-learning has been introduced to a variety of blended learning scenarios, such as life-long learning, University lectures, and game-based learning. In all the...