In this paper, we report our success in building efficient scalable classifiers in the form of decision tables by exploring capabilities of modern relational database management s...
This paper describes BABYLON, a system that attempts to overcome the shortage of parallel texts in low-density languages by supplementing existing parallel texts with texts gather...
This paper presents the advantages of combining multiple document representation schemes for query processing of XML queries on content and structure. We show how extending the Te...
Self-localisation is an essential competence for mobile robot navigation. Due to the fundamental unreliability of dead reckoning, a robot must depend on its perception of external...
Abstract This work introduces a self-supervised architecture for robust classification of moving obstacles in urban environments. Our approach presents a hierarchical scheme that r...
Roman Katz, Juan Nieto, Eduardo Mario Nebot, Bertr...