Current IT application domains such as web services and autonomic computing call for highly flexible systems, able to automatically adapt to changing operational environments as w...
Loris Penserini, Anna Perini, Angelo Susi, John My...
In this work we present the results of a project aimed at assembling an hybrid massively parallel machine, the PQE1 prototype, devoted to the simulation of complex physical models...
Paolo Palazzari, Lidia Arcipiani, Massimo Celino, ...
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
Scientific workflows are frequently being used to model complex phenomena, to analyze instrumental data, to tie together information from distributed sources, and to pursue other ...
Background: Signal transduction pathways are usually modelled using classical quantitative methods, which are based on ordinary differential equations (ODEs). However, some diffic...