We introduce a new dissimilarity function for ranked lists, the expected weighted Hoeffding distance, that has several advantages over current dissimilarity measures for ranked s...
Abstract— In this work we characterize the energy consumption of a visual sensor network testbed. Each node in the testbed consists of a ”single-board computer”, namely Cross...
Cintia B. Margi, Vladislav Petkov, Katia Obraczka,...
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
Network evolution is a ubiquitous phenomenon in a wide variety of complex systems. There is an increasing interest in statistically modeling the evolution of complex networks such...
Background: Currently there is a strong need for methods that help to obtain an accurate description of protein interfaces in order to be able to understand the principles that go...
Joan Teyra, Andreas Doms, Michael Schroeder, M. Te...