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UMUAI
2008
192views more  UMUAI 2008»
14 years 10 months ago
Automatic detection of learner's affect from conversational cues
We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system that helps...
Sidney K. D'Mello, Scotty D. Craig, Amy M. Withers...
BMCBI
2004
128views more  BMCBI 2004»
14 years 10 months ago
Comparing transformation methods for DNA microarray data
Background: When DNA microarray data are used for gene clustering, genotype/phenotype correlation studies, or tissue classification the signal intensities are usually transformed ...
Helene H. Thygesen, Aeilko H. Zwinderman
CN
2004
95views more  CN 2004»
14 years 10 months ago
Distinguishing between single and multi-source attacks using signal processing
Launching a denial of service (DoS) attack is trivial, but detection and response is a painfully slow and often a manual process. Automatic classification of attacks as single- or...
Alefiya Hussain, John S. Heidemann, Christos Papad...
TITB
2010
104views Education» more  TITB 2010»
14 years 4 months ago
Time-frequency analysis of accelerometry data for detection of myoclonic seizures
Four time-frequency and time-scale methods are studied for their ability of detecting myoclonic seizures from accelerometric data. Methods that are used are: the short-time Fourier...
Tamara M. E. Nijsen, Ronald M. Aarts, Pierre J. M....
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
13 years 15 days ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman