Abstract. This paper introduces the use of multi-objective evolutionary algorithms in multiple instance learning. In order to achieve this purpose, a multi-objective grammar-guided...
Abstract In this doctoral work we aim at developing a rich timed concurrent constraint (tcc) based language with strong ties to logic. The new calculus called Universal Timed Concu...
Carlos Olarte, Catuscia Palamidessi, Frank Valenci...
Abstract. The aim of this paper is to present a new tool of multiple instance learning which is designed using a grammar based genetic programming (GGP) algorithm. We study its app...
With the increasing number of ontologies available on the web, the problem of merging ontologies from different sources to interoperate applications becomes important. This paper ...
The purpose of this paper is to use the aspect-oriented programming (AOP) paradigm for security testing. AOP allows security experts to develop and inject separate modules for con...