By explicitly modeling and managing variability, software product line engineering provides a systematic approach for creating a diversity of similar products at low cost, in shor...
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
This paper proposes a new approach for modelling, testing and prototyping pervasive, possibly mobile, and distributed applications. It describes a set of tools aimed at supporting...
Research on automatic identification of musical instrument sounds has already been performed through last years, but mainly for monophonic singular sounds. In this paper we work on...