Browsing by Subject "support vector machines"
Now showing items 1-2 of 2
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Effectiveness of combined time-frequency imageand signal-based features for improving the detection and classification of epileptic seizure activities in EEG signals
( IEEE , 2014 , Conference Paper)This paper presents new time-frequency (T-F) features to improve the detection and classification of epileptic seizure activities in EEG signals. Most previous methods were based only on signal features derived from the ... -
A Framework for Predicting Proteins 3D Structures
( IEEE , 2008 , Conference Paper)This paper proposes a framework for predicting protein three dimensional structures from their primary sequences. The proposed method utilizes the natural multi-label and hierarchical intrinsic nature of proteins to build ...