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» On the Automatic Extraction of Data from the Hidden Web
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MICCAI
2007
Springer
16 years 7 months ago
Characterizing Spatio-temporal Patterns for Disease Discrimination in Cardiac Echo Videos
Disease-specific understanding of echocardiographic sequences requires accurate characterization of spatio-temporal motion patterns. In this paper we present a method of automatic ...
Tanveer Fathima Syeda-Mahmood, Fei Wang, David Bey...
IEAAIE
2001
Springer
15 years 11 months ago
Selecting a Relevant Set of Examples to Learn IE-Rules
The growing availability of online text has lead to an increase in the use of automatic knowledge acquisition approaches from textual data, as in Information Extraction (IE). Some ...
Jordi Turmo, Horacio Rodríguez
BMCBI
2004
181views more  BMCBI 2004»
15 years 6 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
DCOSS
2007
Springer
16 years 20 days ago
Separating the Wheat from the Chaff: Practical Anomaly Detection Schemes in Ecological Applications of Distributed Sensor Networ
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
Luís M. A. Bettencourt, Aric A. Hagberg, Le...
BMCBI
2008
83views more  BMCBI 2008»
15 years 6 months ago
Terminologies for text-mining; an experiment in the lipoprotein metabolism domain
Background: The engineering of ontologies, especially with a view to a text-mining use, is still a new research field. There does not yet exist a well-defined theory and technolog...
Dimitra Alexopoulou, Thomas Wächter, Laura Pi...