We study cryptographic modeling and encryption-based design techniques for guaranteeing privacy of data that is first stored in some type of computer memory and then deleted. We ...
In this paper a new method for the non-invasive adaptation of user interfaces is presented. The main idea is not to implement the user interface toolkit as an API, but instead as ...
Dirc Rose, Simon Stegmaier, Guido Reina, Daniel We...
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
This paper addresses the issue of adapting cases represented by plain text with the help of formal concept analysis and natural language processing technologies. The actual cases r...
Valmi Dufour-Lussier, Jean Lieber, Emmanuel Nauer,...
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...