In this paper we review the evaluation of relevance feedback methods for content-based image retrieval systems. We start out by presenting an overview of current common practice, ...
Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of ...
Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vinc...
Novel functionality, configurability and higher efficiency in automotive systems require sophisticated embedded software, as well as distributed software development between man...
Public safety wireless networks (PSWNs) play a vital role in the operation of emergency agencies. In this paper, we describe analysis and modeling of traffic data collected from E...
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...