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2020 – today
- 2024
[j8]Erdal Özbay
, Feyza Altunbey Özbay, Farhad Soleimanian Gharehchopogh:
Visualization and classification of mushroom species with multi-feature fusion of metaheuristics-based convolutional neural network model. Appl. Soft Comput. 164: 111936 (2024)- 2023
- [j7]Erdal Özbay:
An active deep learning method for diabetic retinopathy detection in segmented fundus images using artificial bee colony algorithm. Artif. Intell. Rev. 56(4): 3291-3318 (2023) - [j6]Erdal Özbay, Feyza Altunbey Özbay:
Interpretable pap-smear image retrieval for cervical cancer detection with rotation invariance mask generation deep hashing. Comput. Biol. Medicine 154: 106574 (2023) - [j5]Erdal Özbay, Feyza Altunbey Özbay:
Interpretable features fusion with precision MRI images deep hashing for brain tumor detection. Comput. Methods Programs Biomed. 231: 107387 (2023) - [j4]Erdal Özbay, Muhammed Yildirim:
Classification of satellite images for ecology management using deep features obtained from convolutional neural network models. Iran J. Comput. Sci. 6(3): 185-193 (2023) - [j3]Feyza Altunbey Özbay, Erdal Özbay:
Brain tumor detection with mRMR-based multimodal fusion of deep learning from MR images using Grad-CAM. Iran J. Comput. Sci. 6(3): 245-259 (2023) - 2021
- [j2]Erdal Özbay, Ahmet Çinar, Feyza Altunbey Özbay:
3D Human Activity Classification with 3D Zernike Moment Based Convolutional, LSTM-Deep Neural Networks. Traitement du Signal 38(2): 269-280 (2021)
2010 – 2019
- 2019
- [j1]Erdal Özbay, Ahmet Cevahir Cinar:
A Comparative Study of Object Classification Methods Using 3D Zernike Moment on 3D Point Clouds. Traitement du Signal 36(6): 549-555 (2019) - 2018
- [b1]Erdal Özbay:
Nokta bulutu verilerinden nesne ayırt etme (Distinguishing objects on point cloud data). Fırat University, Turkey, 2018
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