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Determining a continuous marker for sleep depth
(Computers in Biology and Medicine, 2007)
Detection and quantification of sleep arousals is an important issue, as the frequent arousals are known to reduce the quality of sleep and cause daytime sleepiness. In typical sleep staging, electroencephalograph (EEG) ...
Gene expression profile class prediction using linear Bayesian classifiers
(Computers in Biology and Medicine, 2007)
Due to recent advances in DNA microarray technology, using gene expression profiles, diagnostic category of tissue samples can be predicted with high accuracy. In this study, we discuss shortcomings of some existing gene ...
Obtaining volterra kernels from neural networks
(IFMBE Proceedings, 2007)
Both neural networks (NN) and Volterra series (VS) are widely used in nonlinear dynamic system identification. In VS approach, the system is modeled using a set of kernel functions that correspond to different order ...
Gene expression profile class prediction using linear Bayesian classifiers
(PERGAMON-ELSEVIER SCIENCE LTD, 2007)
Due to recent advances in DNA microarray technology, using gene expression profiles, diagnostic category of tissue samples can be predicted with high accuracy. In this study, we discuss shortcomings of some existing gene ...
Determining a continuous marker for sleep depth
(PERGAMON-ELSEVIER SCIENCE LTD, 2007)
Detection and quantification of sleep arousals is an important issue, as the frequent arousals are known to reduce the quality of sleep and cause daytime sleepiness. In typical sleep staging, electroencephalograph (EEG) ...
Obtaining Volterra Kernels from Neural Networks
(SPRINGER-VERLAG BERLIN, 2007)
Both neural networks (NN) and Volterra series (VS) are widely used in nonlinear dynamic system identification. In VS approach, the system is modeled using a set of kernel functions that correspond to different order ...