Analysis of Demographic Characteristics Creating Coronary Artery Disease Susceptibility Using Random Forests Classifier. - Kemal Akyol; Elif Çalik; Safak Bayir; Baha Sen; Abdullah Çavusoglu (SCSE, 2015)

Automatic Detection of Optic Disc in Retinal Image by Using Keypoint Detection, Texture Analysis, and Visual Dictionary Techniques. - Kemal Akyol; Baha Sen; Safak Bayir (Comput. Math. Methods Medicine, 2016)

Diyabetik retinopatinin gerçek zamanlı tespiti için karar destek sistemi (A decision support system for diabetic retinopathy 's real-time detection) - Kemal Akyol (2016)

Assessing the importance of features for detection of hard exudates in retinal images. - Kemal Akyol; Baha Sen; Safak Bayir; Hasan Basri Çakmak (Turkish J. Electr. Eng. Comput. Sci., 2017)

Assessing the importance of autistic attributes for autism screening. - Kemal Akyol (Expert Syst. J. Knowl. Eng., 2020)

Comparing of deep neural networks and extreme learning machines based on growing and pruning approach. - Kemal Akyol (Expert Syst. Appl., 2020)

Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection. - Kemal Akyol (Expert Syst. Appl., 2020)

Automated detection of Covid-19 disease using deep fused features from chest radiography images. - Emine Uçar; Ümit Atila; Murat Uçar; Kemal Akyol (Biomed. Signal Process. Control., 2021)

Plant leaf disease classification using EfficientNet deep learning model. - Ümit Atila; Murat Uçar; Kemal Akyol; Emine Uçar (Ecol. Informatics, 2021)

Real-Time Turkish Sign Language Recognition Using Cascade Voting Approach with Handcrafted Features. - Abdülkadir Karaci; Kemal Akyol; Mehmet Ugur Turut (Appl. Comput. Syst., 2021)

Handling hypercolumn deep features in machine learning for rice leaf disease classification. - Kemal Akyol (Multim. Tools Appl., 2023)

YoDenBi-NET: YOLO + DenseNet + Bi-LSTM-based hybrid deep learning model for brain tumor classification. - Abdulkadir Karaci; Kemal Akyol (Neural Comput. Appl., 2023)

A comprehensive comparison study of traditional classifiers and deep neural networks for forest fire detection. - Kemal Akyol (Clust. Comput., 2024)

Comprehensive comparison of modified deep convolutional neural networks for automated detection of external and middle ear conditions. - Kemal Akyol (Neural Comput. Appl., 2024)

An ensemble approach for classification of tympanic membrane conditions using soft voting classifier. - Kemal Akyol; Emine Uçar; Ümit Atila; Murat Uçar (Multim. Tools Appl., 2024)

ETSVF-COVID19: efficient two-stage voting framework for COVID-19 detection. - Kemal Akyol (Neural Comput. Appl., 2024)