Traditional process support systems typically offer a static composition of atomic tasks to more powerful services. In the real world, however, processes change over time: busines...
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...
Abstract. In this paper, a novel architecture dedicated to image processing is presented. The most original aspect of the approach is the use of a System On Chip implemented in a F...
Runtime bloat degrades significantly the performance and scalability of software systems. An important source of bloat is the inefficient use of containers. It is expensive to cre...