| Issue Date | Title | Author(s) |
| 1 | 2021 | Boosting the oversampling methods based on differential evolution strategies for imbalanced learning | Korkmaz, Sedat ; Sahman, Mehmet Akif; Çınar, Ahmet Cevahir; Kaya, Ersin |
| 2 | 2020 | Boundary constrained voxel segmentation for 3D point clouds using local geometric differences | Sağlam, Ali ; Makineci, Hasan Bilgehan ; Baykan, Nurdan Akhan ; Baykan, Ömer Kaan |
| 3 | 2023 | Classification of physiological disorders in apples using deep convolutional neural network under different lighting conditions | Büyükarıkan, Birkan; Ülker, Erkan |
| 4 | 2023 | Convolutional neural network-based apple images classification and image quality measurement by light colors using the color-balancing approach | Büyükarıkan, Birkan; Ülker, Erkan |
| 5 | 2020 | Determination of damage levels of RC columns with a smart system oriented method | Doğan, Gamze ; Arslan, Musa Hakan ; Baykan, Ömer Kaan |
| 6 | 2020 | An efficient binary social spider algorithm for feature selection problem | Baş, Emine; Ülker, Erkan |
| 7 | 2022 | Feature Extraction Methods for Predicting the Prevalence of Heart Disease | Ngong, I.C.; Baykan, Nurdan |
| 8 | 2022 | Improving efficiency in convolutional neural networks with 3D image filters | Uyar, Kübra; Taşdemir, Şakir; Ülker, Erkan ; Ünlükal, Nejat; Solmaz, Merve |
| 9 | 2023 | A literature review on deep learning algorithms for analysis of X-ray images | Seyfi, Gökhan ; Esme, Engin ; Yılmaz, Merve ; Kıran, Mustafa Servet |
| 10 | 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 |
| 11 | 2022 | A New Hybrid Breast Cancer Diagnosis Model Using Deep Learning Model and ReliefF | Burçak, Kadir Can; Uğuz, Harun |
| 12 | 2022 | Optimization of deep learning based segmentation method | İnik, Özkan; Ülker, Erkan |
| 13 | 2021 | Segmentation-Based 3D Point Cloud Classification on a Large-Scale and Indoor Semantic Segmentation Dataset | Sağlam, Ali ; Baykan, Nurdan Akhan |
