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GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
13 years 11 months ago
Combatting financial fraud: a coevolutionary anomaly detection approach
A major difficulty for anomaly detection lies in discovering boundaries between normal and anomalous behavior, due to the deficiency of abnormal samples in the training phase. In...
Shelly Xiaonan Wu, Wolfgang Banzhaf
INFORMATICALT
2010
138views more  INFORMATICALT 2010»
13 years 7 months ago
Recognition of Human Emotions in Reasoning Algorithms of Wheelchair Type Robots
This paper analyses the possibilities of integrating different technological and knowledge representation techniques for the development of a framework for the remote control of mu...
Dale Dzemydiene, Antanas Andrius Bielskis, Arunas ...
IPMU
2010
Springer
13 years 11 months ago
Using Uncertainty Information to Combine Soft Classifications
The classification of remote sensing images performed with different classifiers usually produces different results. The aim of this paper is to investigate whether the outputs of ...
Luisa M. S. Gonçalves, Cidália C. Fo...
BMCBI
2010
214views more  BMCBI 2010»
13 years 10 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
CCE
2004
13 years 9 months ago
Optimization under uncertainty: state-of-the-art and opportunities
A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncer...
Nikolaos V. Sahinidis