In the Sesame framework, we develop a modeling and simulation environment for the efficient design space exploration of heterogeneous embedded systems. Since Sesame recognizes se...
In this paper, we study the effectiveness of the multilevel paradigm in considerably reducing the diagnosis latency of distributed algorithms for fault detection in networks with ...
Innovations in health care are often characterized by complexity and fuzzy boundaries, involving both the elements of the innovation and the organizational structure required for ...
Abstract. In this paper we study a new approach to classify mathematical theorems according to their computational content. Basically, we are asking the question which theorems can...
We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...