Computing systems have become so complex that the IT industry recognizes the necessity of deliberative methods to make these systems self-configuring, self-healing, selfoptimizin...
Abstract. In this paper we propose a novel variational technique for the knowledge based segmentation of two dimensional objects. One of the elements of our approach is the use of ...
This paper describes our experience with developing a product line for middleware-based versioning systems. We perform a detailed domain analysis and define a DSL for configuring i...
The systematic testing of the very many parameters and algorithmic variants involved in the design of high-level music descriptors at large, and similarity measure in particular, ...
Predictive toxicology is the task of building models capable of determining, with a certain degree of accuracy, the toxicity of chemical compounds. Machine Learning (ML) in general...