most citedRegularized HessELM and Inclined Entropy Measurement for Congestive Heart Failure Prediction

25 citations · 30 across the 5 of their papers we have counts for

collaborators

7 papers

physics.med-ph2021

Multimedia Respiratory Database (RespiratoryDatabase@TR): Auscultation Sounds and Chest X-rays

Gokhan Altan, Yakup Kutlu, Yusuf Garbi +2

Auscultation is a method for diagnosis of especially internal medicine diseases such as cardiac, pulmonary and cardio-pulmonary by listening the internal sounds from the body parts…

cs.LG20212 cited

Superiorities of Deep Extreme Learning Machines against Convolutional Neural Networks

Gokhan Altan, Yakup Kutlu

Deep Learning (DL) is a machine learning procedure for artificial intelligence that analyzes the input data in detail by increasing neuron sizes and number of the hidden layers. DL…

cs.LG2021

Generative Autoencoder Kernels on Deep Learning for Brain Activity Analysis

Gokhan Altan, Yakup Kutlu

Deep Learning (DL) is a two-step classification model that consists feature learning, generating feature representations using unsupervised ways and the supervised learning stage a…

cs.SD20213 cited

The Diagnosis of Asthma using Hilbert-Huang Transform and Deep Learning on Lung Sounds

Gökhan Altan, Yakup Kutlu, Adnan Özhan Pekmezci +1

Lung auscultation is the most effective and indispensable method for diagnosing various respiratory disorders by using the sounds from the airways during inspirium and exhalation u…

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.LG201925 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…