25 citations · 25 across the 4 of their papers we have counts for
6 papers
Online LDA based brain-computer interface system to aid disabled people
Apdullah Yayik, Yakup Kutlu
This paper aims to develop brain-computer interface system based on electroencephalography that can aid disabled people in daily life. The system relies on one of the most effectiv…
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…
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…
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…
Grayscale Image Authentication using Neural Hashing
Yakup Kutlu, Apdullah Yayık
Many different approaches for neural network based hash functions have been proposed. Statistical analysis must correlate security of them. This paper proposes novel neural hashing…
Patient Specific Congestive Heart Failure Detection From Raw ECG signal
Yakup Kutlu, Apdullah Yayık, Esen Yıldırım +2
In this study; in order to diagnose congestive heart failure (CHF) patients, non-linear second-order difference plot (SODP) obtained from raw 256 Hz sampled frequency and windowed…