Large-scale parsing is still a complex and timeconsuming process, often so much that it is infeasible in real-world applications. The parsing system described here addresses this ...
Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...
This paper explores the applicability of the concepts of absorptive capacity and ``ba'' to ex ante project risk. We develop a hybrid framework to explain knowledge trans...
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
The paper presents an ontology-based approach to service discovery, apt to support flexible and efficient matchmaking between service descriptions. We propose a hybrid approach th...
Devis Bianchini, Valeria De Antonellis, Michele Me...