This article proposes knowledge-based short-time prediction methods for multivariate streaming time series, relying on the early recognition of local patterns. A parametric, well-i...
Techniques for reliably estimating development efforts are a fundamental requirement for a wide-scale dissemination of ontologies in business contexts. In this paper we account fo...
A recent neuro-spiking coding scheme for feature extraction from biosonar echoes of various plants is examined with a variety of stochastic classifiers. Feature vectors derived are...
We have identified in previous work two translations for parametrically typed extensions of Java. The homogeneous translation maps type variables to a uniform representation, while...
The aim of this paper is to develop accurate and reliable methods for automated detection of the edges of the lung by a knowledge-based approach. First, the system initialises the...