Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
The effort and time required to develop user interface models has been one of the main limitations to the adoption of model-based approaches, which enable intelligent processing o...
Federico Bellucci, Giuseppe Ghiani, Fabio Patern&o...
Software agents are one of the building blocks of ambient intelligence and pervasive computing. Adaptation to changes in the execution context is necessary in order to provide cont...
Abstract--Adaptive microarchitectures are a promising solution for designing high-performance, power-efficient microprocessors. They offer the ability to tailor computational resou...
Christophe Dubach, Timothy M. Jones, Edwin V. Boni...
This paper introduces MOCAS (Model Of Components for Adaptive Systems), a generic state-based component model which enables the self-adaptation of software components together wit...