Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franc...
In this paper we present error and performance analysis of a Monte Carlo variance reduction method for solving multidimensional integrals and integral equations. This method, calle...
An increasing number of university lectures and a vast majority of company presentations are being digitally archived for redistribution today. Most of these presentations take th...
SeismoSpin is a novel interactive instrument designed around a “Disc-Jockey/mixer” metaphor that gives seismologists a quick and powerful way to explore earthquake data. The c...
Mark McKelvin, Ragnhild Nestande, Leticia Valdez, ...
As compared to a complex single processor based system, on-chip multiprocessors are less complex, more power efficient, and easier to test and validate. In this work, we focus on a...
Guangyu Chen, Mahmut T. Kandemir, Alok N. Choudhar...