In this paper, we present a new approach to producing photorealistic computer renderings of real architectural scenes under novel lighting conditions, such as at different times o...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Background: During the past decades, research and development in drug discovery have attracted much attention and efforts. However, only 324 drug targets are known for clinical dr...
In recent years, practical applications of legal knowledge-based systems have become increasingly common. This raises the issue of their functioning in practice and their actual in...
One of the open problems in the area of domain-specific languages is how to make domain-specific language development easier for domain experts not versed in a programming languag...
Marjan Mernik, Goran Gerlic, Viljem Zumer, Barrett...