Because of the ad hoc nature of web applications, intrusion detection systems that leverage machine learning techniques are particularly well-suited for protecting websites. The re...
Federico Maggi, William K. Robertson, Christopher ...
The work presented here is part of a project that aims at the definition of a methodology for developing realtime software systems based on UML. In fact, being relatively easy to ...
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
Igor Lorenzato Almeida, Denise Regina Pechmann Sim...
Abstract--We present an algorithm that coevolves fitness predictors, optimized for the solution population, which reduce fitness evaluation cost and frequency, while maintaining ev...
This paper reports on the utilisation of object technology in a university-level course on software development, specifically designed for distance learning, and now enrolling ove...
Mark Woodman, Robert Griffiths, Simon Holland, Hug...