Many applications need to respond to incremental modifications to data. Being incremental, such modification often require incremental modifications to the output, making it po...
It would be useful if software engineers/instructors could be aware that remote team members/students are having difficulty with their programming tasks. We have developed an appr...
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 discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
During the last decade national archives, libraries, museums and companies started to make their records, books and files electronically available. In order to allow efficient ac...
Andreas Stoffel, David Spretke, Henrik Kinnemann, ...