Plant leaf disease classification using EfficientNet deep learning model Ü Atila, M Uçar, K Akyol, E Uçar Ecological Informatics 61, 101182, 2021 | 799 | 2021 |
Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection K Akyol Expert Systems with Applications 148, 113239, 2020 | 156 | 2020 |
Automatic detection of optic disc in retinal image by using keypoint detection, texture analysis, and visual dictionary techniques K Akyol, B Şen, Ş Bayır Computational and mathematical methods in medicine 2016 (1), 6814791, 2016 | 70 | 2016 |
Comparing of deep neural networks and extreme learning machines based on growing and pruning approach K Akyol Expert Systems with Applications 140, 112875, 2020 | 66 | 2020 |
Diabetes mellitus data classification by cascading of feature selection methods and ensemble learning algorithms K Akyol, B Şen International Journal of Modern Education and Computer Science 10 (6), 10-16, 2018 | 27 | 2018 |
Automated detection of Covid-19 disease using deep fused features from chest radiography images E Ucar, Ü Atila, M Ucar, K Akyol Biomedical Signal Processing and Control 69, 102862, 2021 | 20 | 2021 |
A study on autistic spectrum disorder for children based on feature selection and fuzzy rule K Akyol, A Karaci International congress on engineering and life science, 804-807, 2018 | 19 | 2018 |
A study on the diagnosis of Parkinson’s disease using digitized wacom graphics tablet dataset K Akyol Int J Inf Technol Comput Sci 9, 45-51, 2017 | 19 | 2017 |
Modeling and Predicting of News Popularity in Social Media Sources. K Akyol, B Şen Computers, Materials & Continua 61 (1), 2019 | 14 | 2019 |
A study on liver disease diagnosis based on assessing the importance of attributes K Akyol, Y Gültepe International Journal of Intelligent Systems and Applications 9 (11), 1, 2017 | 13 | 2017 |
YoDenBi-NET: YOLO+ DenseNet+ Bi-LSTM-based hybrid deep learning model for brain tumor classification A Karacı, K Akyol Neural Computing and Applications 35 (17), 12583-12598, 2023 | 12 | 2023 |
Classification of different tympanic membrane conditions using fused deep hypercolumn features and bidirectional LSTM M Uçar, K Akyol, Ü Atila, E Uçar IRBM 43 (3), 187-197, 2022 | 11 | 2022 |
Analysis of demographic characteristics creating coronary artery disease susceptibility using random forests classifier K Akyol, E Çalik, Ş Bayir, B Şen, A Çavuşoğlu Procedia Computer Science 62, 39-46, 2015 | 11 | 2015 |
Handling hypercolumn deep features in machine learning for rice leaf disease classification K Akyol Multimedia Tools and Applications 82 (13), 19503-19520, 2023 | 10 | 2023 |
Diyabet hastalığının erken aşamada tahmin edilmesi için makine öğrenme algoritmalarının performanslarının karşılaştırılması K Akyol, A Karacı Düzce Üniversitesi Bilim ve Teknoloji Dergisi 9 (6), 123-134, 2021 | 10 | 2021 |
Decolorization of the Reactive Blue 19 from aqueous solutions with the Fenton oxidation process and modeling with deep neural networks N Değermenci, K Akyol Water, Air, & Soil Pollution 231, 1-13, 2020 | 10 | 2020 |
Assessing the importance of autistic attributes for autism screening K Akyol Expert Systems 37 (5), e12562, 2020 | 9 | 2020 |
Evaluation of different machine learning methods for caesarean data classification OSS Alsharif, KM Elbayoudi, AAS Aldrawi, K Akyol International Journal of Information Engineering and Electronic Business 11 …, 2019 | 9 | 2019 |
A Study on Test Variable Selection and Balanced Data for Cervical Cancer Disease. K Akyol International Journal of Information Engineering & Electronic Business 10 (5), 2018 | 9 | 2018 |
Turkish Sign Language Alphabet Recognition with Leap Motion A Karaci, K Akyol, Y Gültepe Proceedings of the International Conference on Advanced Technologies …, 2018 | 9 | 2018 |