—Worms are a significant threat to network systems, both through resource consumption and malicious activity. This paper examines the spread of a class of hitlist-based worms tha...
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Abstract. Global integration and migration force people to learn additional languages. With respect to major languages, the acquisition is already initiated at primary school but a...
Oliver Jokisch, Uwe Koloska, Diane Hirschfeld, R&u...
This paper presents a novel approach for automatic person labelling in video sequences using costumes. The person recognition is carried out by extracting the costumes of all the p...
One special challenge facing teachers, planners and researchers is the development of pedagogical models, teaching methods and teaching practices that are applicable in network-bas...