| Issue Date | Title | Author(s) |
1 | 2019 | Apneic Events Detection Using Different Features of Airflow Signals | Göğüş, Fatma Zehra; Tezel, Gülay |
2 | 2021 | Boosting the oversampling methods based on differential evolution strategies for imbalanced learning | Korkmaz, Sedat ; Sahman, Mehmet Akif; Çınar, Ahmet Cevahir; Kaya, Ersin |
3 | 2020 | Boundary constrained voxel segmentation for 3D point clouds using local geometric differences | Sağlam, Ali ; Makineci, Hasan Bilgehan ; Baykan, Nurdan Akhan ; Baykan, Ömer Kaan |
4 | 2023 | Classification of physiological disorders in apples using deep convolutional neural network under different lighting conditions | Büyükarıkan, Birkan; Ülker, Erkan |
5 | 2023 | Convolutional neural network-based apple images classification and image quality measurement by light colors using the color-balancing approach | Büyükarıkan, Birkan; Ülker, Erkan |
6 | 2020 | Determination of damage levels of RC columns with a smart system oriented method | Doğan, Gamze ; Arslan, Musa Hakan ; Baykan, Ömer Kaan |
7 | 2020 | An efficient binary social spider algorithm for feature selection problem | Baş, Emine ; Ülker, Erkan |
8 | 2022 | Improving efficiency in convolutional neural networks with 3D image filters | Uyar, Kübra; Taşdemir, Şakir; Ülker, Erkan ; Ünlükal, Nejat; Solmaz, Merve |
9 | 2021 | A new deep convolutional neural network model for classifying breast cancer histopathological images and the hyperparameter optimisation of the proposed model | Burçak, Kadir Can; Baykan, Ömer Kaan ; Uğuz, Harun |
10 | 2022 | A New Hybrid Breast Cancer Diagnosis Model Using Deep Learning Model and ReliefF | Burçak, Kadir Can; Uğuz, Harun |
11 | 2019 | A new method for automatic counting of ovarian follicles on whole slide histological images based on convolutional neural network | İnik, Özkan; Ceyhan, Ayşe; Balcıoğlu, Esra; Ülker, Erkan |
12 | 2022 | Optimization of deep learning based segmentation method | İnik, Özkan; Ülker, Erkan |