Pages that link to "Item:Q1664689"
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The following pages link to Deep extreme learning machine and its application in EEG classification (Q1664689):
Displaying 9 items.
- Prediction model of permeability index for blast furnace based on the improved multi-layer extreme learning machine and wavelet transform (Q1661448) (← links)
- An improved brain-inspired emotional learning algorithm for fast classification (Q1662757) (← links)
- Deep network based on stacked orthogonal convex incremental ELM autoencoders (Q1792712) (← links)
- Reconstructed error and linear representation coefficients restricted by \(\ell_1\)-minimization for face recognition under different illumination and occlusion (Q1992344) (← links)
- Non-iterative and fast deep learning: multilayer extreme learning machines (Q2005317) (← links)
- Deep learning models for brain machine interfaces (Q2023879) (← links)
- Accuracy of different machine learning type methodologies for EEG classification by diagnosis (Q2420102) (← links)
- Deep Gaussian processes and infinite neural networks for the analysis of EEG signals in Alzheimer’s diseases (Q5042087) (← links)
- Cutcat: an augmentation method for EEG classification (Q6054956) (← links)
