The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
This paper reports on the 2nd Workshop on Model Driven Development of Advanced User Interfaces (MDDAUI’06) held on October 2nd, 2006 at the MoDELS’06 conference in Genova, Ital...
Jan Van den Bergh, Gerrit Meixner, Kai Breiner, An...
Under conditions of heavy traffic load or sudden traffic bursts, the peak processing throughput of network intrusion detection systems (NIDS) may not be sufficient for inspecting ...
Biological research is becoming increasingly complex and data-rich, with multiple public databases providing a variety of resources: hundreds of thousands of substances and interac...
Michael L. Blinov, Oliver Ruebenacker, James C. Sc...
We describe the extension of a reactive programming language with a behavioral contract construct. It is dedicated to the programming of reactive control of applications in embedd...