The term neural network evolution usually refers to network topology evolution leaving the network's parameters to be trained using conventional algorithms. In this paper we ...
Ioannis G. Tsoulos, Dimitris Gavrilis, Euripidis G...
Recent research shows that animals can be guided remotely by stimulating regions of the brain. Therefore, it is possible to set up an animal wireless sensor network for search and...
: Recent work on social networks has tackled the measurement and optimization of these networks’ robustness and resilience to both failures and attacks. Different metrics have be...
In an outsourced data framework, we introduce and demonstrate mechanisms for securely storing a set of data items (documents) on an un-trusted server, while allowing for subsequen...
Radu Sion, Sumeet Bajaj, Bogdan Carbunar, Stefan K...
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...