Background: The huge amount of biological information, its distribution over the Internet and the heterogeneity of available software tools makes the adoption of new data integrat...
Paolo Romano 0001, Ezio Bartocci, Guglielmo Bertol...
Thermal gradients across the die are becoming increasingly prominent as we scale further down into the sub-nanometer regime. While temperature was never a primary concern, its non...
We introduce and study a randomized quasi-Monte Carlo method for estimating the state distribution at each step of a Markov chain. The number of steps in the chain can be random an...
In this paper, we focus on the challenge of demand-scalable multicast routing in wireless sensor networks. Due to the ad-hoc nature of the placement of the sensor nodes as well as...
Tensors are nowadays a common source of geometric information. In this paper, we propose to endow the tensor space with an affine-invariant Riemannian metric. We demonstrate that ...