| Issue Date | Title | Author(s) |
| 41 | 20-Oct-2017 | A Comprehensive Approach for Validating P53 Binding Site Predictions | Özyer, Tansel ; Alhajj, Reda |
| 42 | 2023 | Computational Intelligence Based Point of Interest Detection by Video Surveillance Implementations | Tercan, Emre; Tapkın, Serkan; Küçük, Furkan; Demirtaş, Ali; Özbayoğlu, Ahmet ; Türker, Abdüssamet |
| 43 | 2019 | Computational Intelligence Models for Piv Based Particle (cuttings) Direction and Velocity Estimation in Multi-Phase Flows | Tombul, H.; Özbayoğlu, Ahmet Murat ; Özbayoğlu, M. E. |
| 44 | 2013 | A Consistency-Based Feature Selection Method Allied With Linear Svms for Hiv-1 Protease Cleavage Site Prediction | Öztürk, Orkun; Aksaç, Alper; Elsheikh, Abdallah; Özyer, Tansel ; Alhajj, Reda |
| 45 | Feb-2018 | Context-Aware Computing, Learning, and Big Data in Internet of Things: a Survey | Sezer, Ömer Berat; Doğdu, Erdoğan; Özbayoğlu, Ahmet Murat |
| 46 | 2021 | A Convolutional Deep Clustering Framework for Gene Expression Time Series | Özgül, Ozan Frat; Bardak, Batuhan ; Tan, Mehmet |
| 47 | Jul-2018 | Correction To: Realizing Drug Repositioning by Adapting a Recommendation System To Handle the Process (vol 19, 136, 2018) | Özsoy, Makbule Gülçin; Özyer, Tansel ; Polat, Faruk; Alhajj, Reda |
| 48 | Dec-2019 | Cutesc: Cutting Edge Spatial Clustering Technique Based on Proximity Graphs | Aksaç, Alper; Özyer, Tansel ; Alhajj, Reda |
| 49 | 2013 | Çok Amaçlı Evrimsel Algritmalar ile Doğal Kümeleme Bulma | Özyer, Tansel |
| 50 | Feb-2020 | Data on Cut-Edge for Spatial Clustering Based on Proximity Graphs | Aksaç, Alper; Özyer, Tansel ; Alhajj, Reda |
| 51 | 2008 | Deciding on Number of Clusters by Multi-Objective Optimization and Validity Analysis | Ozyer, Tansel ; Alhajj, Reda |
| 52 | Aug-2018 | Deep Convolutional Autoencoder for Radar-Based Classification of Similar Aided and Unaided Human Activities | Seyfioğlu, Mehmet Saygın; Özbayoğlu, Ahmet Murat ; Gürbüz, Sevgi Zübeyde |
| 53 | 2022 | Deep Learning Based Hybrid Computational Intelligence Models for Options Pricing | Arin, Efe; Özbayoğlu, Ahmet Murat |
| 54 | 2017 | A Deep Learning Based Stock Trading Model With 2-D Cnn Trend Detection | Güdelek, Mehmet Uğur; Bölük, S. Arda; Özbayoğlu, Ahmet Murat |
| 55 | Aug-2020 | Deep Learning for Financial Applications: a Survey | Özbayoğlu, Ahmet Murat ; Güdelek, M. U.; Sezer, O. B. |
| 56 | 2022 | A Deep Learning Model for Rate of Penetration Prediction and Drilling Performance Optimization Using Genetic Algorithm | Erge, Öney; Özbayoğlu, Murat ; Özbayoğlu, Evren |
| 57 | 2017 | Deep Learning of Micro-Doppler Features for Aided and Unaided Gait Recognition | Seyfioğlu, Mehmet Saygın; Gürbüz, Sevgi Zübeyde; Özbayoğlu, Ahmet Murat ; Yüksel, Melda |
| 58 | 2021 | Deep Learning-Based Investment Strategy: Technical Indicator Clustering and Residual Blocks | Maratkhan, Anuar; İlyassov, Ibrakhim; Aitzhanov, Madiyar; Demirci, Muhammed Fatih ; Özbayoğlu, Ahmet Murat |
| 59 | 2020 | Deep Multi-Layer Perceptron Based Prediction of Energy Efficiency and Surface Quality for Milling in the Era of Sustainability and Big Data | Serin, Gökberk; Şener, Batıhan; Güdelek, M. Uğur; Özbayoğlu, Ahmet Murat ; Ünver, Hakkı Özgür |
| 60 | 2021 | A Deep Neural Network Model for Stock Investment Recommendation by Considering the Stock Market as a Time Graph | Keskin, Mustafa Mert; Yılmaz, Muhammed; Özbayoğlu, Ahmet Murat |
