Classification of data with imbalanced class distribution has posed a significant drawback of the performance attainable by most standard classifier learning algorithms, which ...
Abstract. We were inspired by the role of co-stimulation in the Biological immune system (BIS). We propose and evaluate an algorithm for energy efficient misbehavior detection in a...
Martin Drozda, Sven Schaust, Sebastian Schildt, He...
Abstract-- In this work, we propose a game theoretic framework to analyze the behavior of cognitive radios for distributed adaptive channel allocation. We define two different obje...
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
—This paper presents a communication/coordination/ processing architecture for distributed adaptive observation of a spatial field using a fleet of autonomous mobile sensors. O...