activity
20172021
most citedRegularized HessELM and Inclined Entropy Measurement for Congestive Heart Failure Prediction

25 citations · 45 across the 15 of their papers we have counts for

collaborators

19 papers

cs.CL2021

Challenges Encountered in Turkish Natural Language Processing Studies

Kadir Tohma, Yakup Kutlu

Natural language processing is a branch of computer science that combines artificial intelligence with linguistics. It aims to analyze a language element such as writing or speakin…

cs.HC2021

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…

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…

q-bio.NC2021

Analysis of Relation between Motor Activity and Imaginary EEG Records

Enver Kaan Alpturk, Yakup Kutlu

Electroencephalography (EEG) signals signals are often used to learn about brain structure and to learn what thinking. EEG signals can be easily affected by external factors. For t…