We propose regression modeling as an efficient approach for accurately predicting performance and power for various applications executing on any microprocessor configuration in a...
In some classification problems, like the detection of illnesses in patients, classes are very unbalanced and the misclassification costs for different classes vary significantly....
In this paper we propose a behavioural model, namely the Extended Modal Labeled Transition Systems, as a basis for the formalization of the different notions of variability usuall...
Model-driven development requires a full set of development tools. While technologies for constructing graphical editors, compilers etc. are readily available, there is a lack of ...
End-user interactive concept learning is a technique for interacting with large unstructured datasets, requiring insights from both human-computer interaction and machine learning...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...