| Detection of breast cancer via deep convolution neural networks using MRI images AH Yurttakal, H Erbay, T İkizceli, S Karaçavuş Multimedia Tools and Applications 79 (21), 15555-15573, 2020 | 82 | 2020 |
| Prediction of glioma grades using deep learning with wavelet radiomic features G Çinarer, BG Emiroğlu, AH Yurttakal Applied Sciences 10 (18), 6296, 2020 | 41 | 2020 |
| A comparative study on segmentation and classification in breast mri imaging AH Yurttakal, H Erbay, T İkizceli, S Karacavus, G Çinarer IIOAB J 9 (5), 23-33, 2018 | 19 | 2018 |
| Öğretmenlerin teknolojik araçlarla eğitime yönelik tutumlarının çeşitli değişkenlere göre incelenmesi Yozgat ili örneği G Çınarer, AH Yurttakal, S Ünal, İ Karaman EEB 2016 Elektrik-Elektronik ve Bilgisayar Sempozyumu, 11-13, 2016 | 18 | 2016 |
| Diagnosing and differentiating viral pneumonia and COVID-19 using X-ray images H Kör, H Erbay, AH Yurttakal Multimedia Tools and Applications 81 (27), 39041-39057, 2022 | 14 | 2022 |
| K-nearest neighbour classifier usage for permission based malware detection in android RS ARSLAN, AH Yurttakal ICONTECH INTERNATIONAL JOURNAL 4 (2), 15-27, 2020 | 12 | 2020 |
| Brain tumor classification using deep neural network G Çınarer, BG Emiroğlu, RS Arslan, AH Yurttakal Advances in Science, Technology and Engineering Systems Journal 5 (5), 765-769, 2020 | 11 | 2020 |
| Intelligent and Fuzzy Techniques: Smart and Innovative Solutions: Proceedings of the INFUS 2020 Conference, Istanbul, Turkey, July 21-23, 2020 C Kahraman, SC Onar, B Oztaysi, IU Sari, S Cebi, AC Tolga Springer Nature, 2020 | 11 | 2020 |
| Reflection of people’s professions on social media platforms Ö Dağıstanlı, H Erbay, H Kör, AH Yurttakal Neural Computing and Applications 35 (7), 5575-5586, 2023 | 7 | 2023 |
| Diagnosing breast cancer tumors using stacked ensemble model AH Yurttakal, H Erbay, T İkizceli, S Karaçavuş, C Biçer Journal of Intelligent & Fuzzy Systems 42 (1), 77-85, 2022 | 7 | 2022 |
| Classification of Diabetic Rat Histopathology Images Using Convolutional Neural Networks. AH Yurttakal, H Erbay, G Çinarer, H Bas Int. J. Comput. Intell. Syst. 14 (1), 715-722, 2021 | 6 | 2021 |
| Extreme gradient boosting regression model for soil thermal conductivity AH Yurttakal Thermal Science 25 (Spec. issue 1), 1-7, 2021 | 5 | 2021 |
| Segmentation of Larynx histopathology images via convolutional neural networks AH Yurttakal, H Erbay Intelligent and Fuzzy Techniques: Smart and Innovative Solutions …, 2021 | 5 | 2021 |
| Classification of Breast DCE-MRI Images via Boosting and Deep Learning Based Stacking Ensemble Approach AH Yurttakal, H Erbay, T İkizceli, S Karaçavuş, C Biçer Intelligent and Fuzzy Techniques: Smart and Innovative Solutions …, 2021 | 5 | 2021 |
| A novel model based collaborative filtering recommender system via truncated ULV decomposition F Horasan, AH Yurttakal, S Gündüz Journal of King Saud University-Computer and Information Sciences 35 (8), 101724, 2023 | 4 | 2023 |
| Possibility Prediction Of Diabetes Mellitus At Early Stage Via Stacked Ensemble Deep Neural Network AH YURTTAKAL, BAŞ Hatice Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi 21 (4), 812-819, 2021 | 3 | 2021 |
| Yapay Sinir Ağları Yönetimi ile Burs Analizi S Ünal, G Çınarer, İ Karaman, A Yurttakal EEB, 2016 | 3 | 2016 |
| İş akışı çizelgeleme probleminin yapay bağışıklık sistemi ile optimizasyonu AH Yurttakal Fen Bilimleri Enstitüsü, 2014 | 3 | 2014 |
| Darknet Web Traffic Classification via Gradient Boosting Algorithm F HORASAN, AH YURTTAKAL International Journal of Engineering Research and Development 14 (2), 794-798, 0 | 3* | |
| Predicting 1p/19q chromosomal deletion of brain tumors using machine learning G Çinarer, BG Emiroğlu, AH Yurttakal Emerging Materials Research 10 (2), 238-244, 2021 | 2 | 2021 |
Hasan ErbayOstim Technical Universityostimteknik.edu.tr üzerinde doğrulanmış e-posta adresine sahip
