In this presentation, we give an overview of research activities at the Department of Computing Science, Ume˚a University with focus on Scientific, Parallel and High-Performance...
It is well known that exploiting label correlations is important for multi-label learning. Existing approaches typically exploit label correlations globally, by assuming that the ...
In this paper we present a framework to provide dependability through accountability. Our proposal exploits the asymmetry present in the majority of sensor data processing to chea...
In this paper, we present a novel framework for machine learning-based cross-media knowledge extraction. The framework is specifically designed to handle documents composed of th...
We present a multiprocessor scheduling framework for integrating hard and soft real-time tasks and best-effort jobs. This framework allows for full system utilization, and ensures...