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ICML
2010
IEEE
15 years 5 months ago
Application of Machine Learning To Epileptic Seizure Detection
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
Ali H. Shoeb, John V. Guttag
ICASSP
2010
IEEE
15 years 5 months ago
Weakly supervised learning with decision trees applied to fisheries acoustics
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
131
Voted
ENTCS
2008
120views more  ENTCS 2008»
15 years 4 months ago
Specifying and Executing Reactive Scenarios With Lutin
This paper presents the language Lutin and its operational semantics. This language specifically targets the domain of reactive systems, where an execution is a (virtually) infini...
Pascal Raymond, Yvan Roux, Erwan Jahier
JAIR
2006
87views more  JAIR 2006»
15 years 4 months ago
Fault Tolerant Boolean Satisfiability
A -model is a satisfying assignment of a Boolean formula for which any small alteration, such as a single bit flip, can be repaired by flips to some small number of other bits, yi...
Amitabha Roy
BMCBI
2005
118views more  BMCBI 2005»
15 years 4 months ago
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
Thanyaluk Jirapech-Umpai, J. Stuart Aitken