— This paper proposes a novel method of fusing models for classification of unbalanced data. The unbalanced data contains a majority of healthy (negative) instances, and a minor...
Paul F. Evangelista, Mark J. Embrechts, Boleslaw K...
Grid applications often need to distribute large amounts of data efficiently from one cluster to multiple others (multicast). Existing methods usually arrange nodes in optimized t...
This paper presents the design and the performance evaluation of a coarse-grain dynamically reconfigurable platform for network applications. The platform consists of two MicroBla...
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
The project DIANE is an EU-funded project in the ACTS Program and started in September 1995. The goal of DIANE is to establish a service, which enables an user to annotate anythin...