Ara
Toplam kayıt 5, listelenen: 1-5
Evaluation of bagging ensemble method with time-domain feature extraction for diagnosing of arrhythmia beats
(Springer London Ltd, 2014)
We explore the effect of using bagged decision tree (BDT) as an ensemble learning method with proposed time-domain feature extraction methods on electrocardiogram (ECG) arrhythmia beat classification comparing with single ...
An improved hybrid feature reduction for increased breast cancer diagnostic performance
(Springer Verlag, 2014)
Methods: A hybrid method is proposed using the independent component analysis (ICA) and the discrete wavelet transform (DWT) to reduce feature vectors of Wisconsin diagnostic breast cancer (WDBC) data set. Two independent ...
ECG feature extraction based on the bandwidth properties of variational mode decomposition
(Iop Publishing Ltd, 2016)
It is a difficult process to detect abnormal heart beats, known as arrhythmia, in long-term ECG recording. Thus, computer-aided diagnosis systems have become a supportive tool for helping physicians improve the diagnostic ...
Detrended fluctuation thresholding for empirical mode decomposition based denoising
(Academic Press Inc Elsevier Science, 2014)
Signal decompositions such as wavelet and Gabor transforms have successfully been applied in denoising problems. Empirical mode decomposition (EMD) is a recently proposed method to analyze non-linear and non-stationary ...
Random subspace method with class separability weighting
(Wiley, 2016)
The random subspace method (RSM) is one of the ensemble learning algorithms widely used in pattern classification applications. RSM has the advantages of small error rate and improved noise insensitivity due to ensemble ...