Motivated by a representational model for the cross-modal interaction between language and other modalities we present a framework for the integration of contextual information int...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
This paper presents an architecture that makes it possible to construct dynamic systems capable of growing in dimension and adapting its knowledge to environmental changes. An arch...
While the use of network intrusion detection systems (nIDS) is becoming pervasive, evaluating nIDS performance has been found to be challenging. The goal of this study is to deter...
Spyros Antonatos, Kostas G. Anagnostakis, Evangelo...
The last years have seen an increasing, albeit restricted simulation of large-scale networks on shared memory parallel platforms. As the complexity of communication protocols and ...