Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Geoscience studies produce data from various observations, experiments, and simulations at an enormous rate. With proliferation of applications and data formats, the geoscience re...
As Computer Science educators, we know that students learn more from projects that are fun and challenging, that seem “real” to them, and that allow them to be creative in des...
Abstract. We propose a novel bio-inspired solution for biomedical article classification. Our method draws from an existing model of T-cell cross-regulation in the vertebrate immun...
Generating multimedia streams, such as in a netradio, is a task which is complex and difficult to adapt to every users’ needs. We introduce a novel approach in order to achieve i...