25 citations · 25 across the 4 of their papers we have counts for
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cs.LG2019
On improving learning capability of ELM and an application to brain-computer interface
Apdullah Yayık, Yakup Kutlu, Gökhan Altan
As a type of pseudoinverse learning, extreme learning machine (ELM) is able to achieve high performances in a rapid pace on benchmark datasets. However, when it is applied to real…
cs.LG2019★ 25 cited
Regularized HessELM and Inclined Entropy Measurement for Congestive Heart Failure Prediction
Apdullah Yayık, Yakup Kutlu, Gökhan Altan
Our study concerns with automated predicting of congestive heart failure (CHF) through the analysis of electrocardiography (ECG) signals. A novel machine learning approach, regular…
eess.SP2019
Deep Learning with ConvNET Predicts Imagery Tasks Through EEG
Apdullah Yayık, Yakup Kutlu, Gökhan Altan
Deep learning with convolutional neural networks (ConvNets) have dramatically improved learning capabilities of computer vision applications just through considering raw data witho…