Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Summarizing large multidimensional datasets is a challenging task, often requiring extensive investigation by a user to identify overall trends and important exceptions to them. W...
We cope with the metadata recognition in layoutoriented documents. We address the problem as a classification task and propose a method for automatic extraction of relevant featu...
Abstract: Data preparation is a significant preprocessing task to prepare data for mining. The data mining process cannot succeed without a serious effort to prepare data. Very oft...
We hereby describe DIANE an environment that aims at performing an automatic diagnosis on arithmetic problems depending on the productions of the learners. This work relies on resu...