With the growing importance of model-driven development, the ability of transforming models into well-defined semantic domains becomes a key to automated code generation or verifi...
To use graphics efficiently in an automatic report generation system, one has to model messages and how they go from the writer (intention) to the reader (interpretation). This pap...
To investigate whether more concise Natural Language feedback improves learning, we developed two Natural Language generators (DIAG-NLP1 and DIAG-NLP2), to provide feedback in an I...
Barbara Di Eugenio, Davide Fossati, Susan M. Halle...
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
We present a load generator and performance measurement tool (AutoPerf ) which requires minimal input and configuration from the user, and produces a comprehensive capacity analys...