Kemal Akyol

17 papers Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Robust Method for Automated Segmentation of Optic Disc Using Hypercolumn Deep Features With Probability Thresholding.
Int. J. Imaging Syst. Technol.
Kemal Akyol, Murat Uçar, Yusuf Yargi Baydilli, Ümit Atila
2024 J jnl
A comprehensive comparison study of traditional classifiers and deep neural networks for forest fire detection.
Clust. Comput.
Kemal Akyol
2024 J jnl
An ensemble approach for classification of tympanic membrane conditions using soft voting classifier.
Multim. Tools Appl.
Kemal Akyol, Emine Uçar, Ümit Atila, Murat Uçar
2024 J jnl
Comprehensive comparison of modified deep convolutional neural networks for automated detection of external and middle ear conditions.
Neural Comput. Appl.
Kemal Akyol
2024 J jnl
ETSVF-COVID19: efficient two-stage voting framework for COVID-19 detection.
Neural Comput. Appl.
Kemal Akyol
2023 J jnl
Handling hypercolumn deep features in machine learning for rice leaf disease classification.
Multim. Tools Appl.
Kemal Akyol
2023 J jnl
YoDenBi-NET: YOLO + DenseNet + Bi-LSTM-based hybrid deep learning model for brain tumor classification.
Neural Comput. Appl.
Abdulkadir Karaci, Kemal Akyol
2021 J jnl
Automated detection of Covid-19 disease using deep fused features from chest radiography images.
Biomed. Signal Process. Control.
Emine Uçar, Ümit Atila, Murat Uçar, Kemal Akyol
2021 J jnl
Plant leaf disease classification using EfficientNet deep learning model.
Ecol. Informatics
Ümit Atila, Murat Uçar, Kemal Akyol, Emine Uçar
2021 J jnl
Real-Time Turkish Sign Language Recognition Using Cascade Voting Approach with Handcrafted Features.
Appl. Comput. Syst.
Abdülkadir Karaci, Kemal Akyol, Mehmet Ugur Turut
2020 J jnl
Assessing the importance of autistic attributes for autism screening.
Expert Syst. J. Knowl. Eng.
Kemal Akyol
2020 J jnl
Comparing of deep neural networks and extreme learning machines based on growing and pruning approach.
Expert Syst. Appl.
Kemal Akyol
2020 J jnl
Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection.
Expert Syst. Appl.
Kemal Akyol
2017 J jnl
Assessing the importance of features for detection of hard exudates in retinal images.
Turkish J. Electr. Eng. Comput. Sci.
Kemal Akyol, Baha Sen, Safak Bayir, Hasan Basri Çakmak
2016 J jnl
Automatic Detection of Optic Disc in Retinal Image by Using Keypoint Detection, Texture Analysis, and Visual Dictionary Techniques.
Comput. Math. Methods Medicine
Kemal Akyol, Baha Sen, Safak Bayir
2016 — —
Diyabetik retinopatinin gerçek zamanlı tespiti için karar destek sistemi (A decision support system for diabetic retinopathy\'s real-time detection)
Kemal Akyol
2015 — conf
Analysis of Demographic Characteristics Creating Coronary Artery Disease Susceptibility Using Random Forests Classifier.
SCSE
Kemal Akyol, Elif Çalik, Safak Bayir, Baha Sen, Abdullah Çavusoglu