With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Background: Expressed Sequence Tags (ESTs) are short and error-prone DNA sequences generated from the 5' and 3' ends of randomly selected cDNA clones. They provide an im...
Nunzio D'Agostino, Mario Aversano, Maria Luisa Chi...
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
In this paper, we design, implement and evaluate AdaptGuard, a software service for guarding adaptive systems, such as QoS-adaptive servers, from instability caused by software an...
Abstract. High-Level net models following the paradigm “nets as tokens” have been studied already in the literature with several interesting applications. In this paper we prop...