Background: Identifying cis-regulatory elements is crucial to understanding gene expression, which highlights the importance of the computational detection of overrepresented tran...
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Associativity between feature models implies the automatic updating of different feature models of a part after changes are made in one of its feature models. This is an importan...
— Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by ...
More and more software projects are using COTS (Commercialoff-the-shelf) components. Using COTS components brings both advantages and risks. To manage some risks in using COTS com...