Typically data acquired through imaging techniques such as functional magnetic resonance imaging (fMRI), structural MRI (sMRI), and electroencephalography (EEG) are analyzed separ...
In this paper we investigate the benefit of scheduling non-critical loads for a higher latency during software pipelining. "Noncritical" denotes those loads that have s...
Sebastian Winkel, Rakesh Krishnaiyer, Robyn Sampso...
The way people collaborate has been changed substantially. Team members are now belonging to different organizations, working on multiple objectives at the same time, frequently c...
Hong Linh Truong, Schahram Dustdar, Dino Baggio, S...
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...
This paper considers the problem of Bayesian inference in dynamical models with time-varying dimension. These models have been studied in the context of multiple target tracking pr...