—In this paper, we explore the viability of mining the basic data provided in bug repositories to predict bug lifetimes. We follow the method of Lucas D. Panjer as described in h...
Gargi Bougie, Christoph Treude, Daniel M. Germ&aac...
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
—We develop an interactive analysis and visualization tool for probabilistic segmentation in medical imaging. The originality of our approach is that the data exploration is guid...
Abstract. The effectiveness of animation in visualization is an interesting research topic that led to contradicting results in the past. On top of that, we are facing three addit...
Alexander Rind, Wolfgang Aigner, Silvia Miksch, Sy...
Abstract. Obtaining high quality patient-specific flow velocity information is not an easy task. Available clinical data are usually poorly resolved and contain a significant amoun...