| Issue Date | Title | Author(s) |
| 2021 | 3D shape completion using multilayer spherical depth parameters | Ağca, A.; Atalay, V.F.B. |
| 2017 | Age Classification Using an Optimized Cnn Architecture | Aydoğdu, M. Fatih; Demirci, Muhammed Fatih |
| Sep-2018 | Algorithmic Financial Trading With Deep Convolutional Neural Networks: Time Series To Image Conversion Approach | Sezer, Ömer Berat; Özbayoğlu, Ahmet Murat |
| 2024 | Algorithmic Stock Trading Based on Ensemble Deep Neural Networks Trained With Time Graph | Yilmaz, Muhammed; Keskin, Mustafa Mert; Ozbayoglu, Ahmet Murat |
| 2024 | Artificial Intelligence for Machining Process Monitoring | Ünver, Hakkı Özgür ; Özbayoğlu, A.M. ; Söyleyici, C.; Çelik, B.B. |
| 2022 | A Big Data Application in Manufacturing Industry-Computer Vision To Detect Defects on Bearings | Ünal, P.; Albayrak, O.; Kubatova, M.; Deveci, B.U.; Çırakman, E.; Koçal, C.I.; Özbayoğlu, A. Murat |
| 2021 | Breast Cancer Histopathology Image Classification Using Cnn | Karatayev M.; Khalyk S.; Adai S.; Lee M.-H.; Demirci, Muhammed Fatih |
| Nov-2019 | Chatter Detection in Milling With Acoustic Emissions and Deep Learning | Serin, G.; Güdelek, M. U.; Şener, B.; Özbayoğlu, Ahmet Murat ; Ünver, Hakkı Özgür |
| 2021 | A Communication Efficient Federated Learning Approach To Multi Chest Diseases Classification | Çetinkaya, Alper Emin; Akin M.; Sagiroglu S. |
| 2021 | A Comparison of Deep Transfer Learning Methods on Bearing Fault Detection | Deveci, B.U.; Çeltikoğlu, M.; Alp, T.; Albayrak, O.; Ünal, P.; Kırcı, P. |
| 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 |
| 2022 | A Deep Learning Model for Rate of Penetration Prediction and Drilling Performance Optimization Using Genetic Algorithm | Erge, O.; Ozbayoglu, M.; Ozbayoglu, E. |
| 2022 | A Deep Learning Model for Rate of Penetration Prediction and Drilling Performance Optimization Using Genetic Algorithm | Erge, Öney; Özbayoğlu, Murat ; Özbayoğlu, Evren |
| 2021 | Deep Learning-Based Investment Strategy: Technical Indicator Clustering and Residual Blocks | Maratkhan, Anuar; İlyassov, Ibrakhim; Aitzhanov, Madiyar; Demirci, Muhammed Fatih ; Özbayoğlu, Ahmet Murat |
| 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 |
| 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 |
| 2022 | Evaluation of Deep Learning Networks for Predicting Truss Topology Optimization Results | Görgülüarslan, R.M.; Ateş, G.C. |
| 2020 | A Fast Deep Learning Based Approach for Basketball Video Analysis | Teket, O. M.; Yetik, İmam Şamil |
| May-2020 | Financial Time Series Forecasting With Deep Learning : a Systematic Literature Review: 2005-2019 | Sezer, Ömer Berat; Güdelek, Mehmet Uğur; Özbayoğlu, Ahmet Murat |
| 2022 | Hybrid Method by Integrating Deep Reinforcement Learning and Heuristics Approach for Capacitated Vehicle Routing Problem | Aktaş, Y.F.; Özbayoğlu, A.M. |
| Jun-2020 | An Improved Computer Based Diagnosis System for Early Detection of Abnormal Lesions in the Brain Tissues With Using Magnetic Resonance and Computerized Tomography Images | Ural, Berkan; Özışık, Pınar; Hardalaç, Fırat |
| 2021 | Improving Clinical Outcome Predictions Using Convolution Over Medical Entities With Multimodal Learning | Bardak, Batuhan ; Tan, Mehmet |
| 2024 | The Influence of Optical Turbulence on Closed-Loop Dircm Identification Performance | Işıklı, S.O.; Bor, E.; Yasa, U.G.; Keskin, M.Z.; Başaran, A.; Figen, Z.G.; Akgün, T. |
| 2020 | Küresel Konumlama Sistemi Kaybı Olan Ortamlarda İnsansız Hava Araçları için Geliştirilen Alternatif Seyrüsefer Tekniği | Şahin, Çağla |
| 2022 | A Multi-Modal Emotion Recognition System Based on Cnn-Transformer Deep Learning Technique | Karatay B.; Bestepe D.; Sailunaz K.; Ozyer T. ; Alhajj R. |
| 2021 | A novel chatter detection method for milling using deep convolution neural networks | Şener, B.; Güdelek, M. U.; Özbayoğlu, Ahmet Murat ; Ünver, Hakkı Özgür |
| 2023 | A Novel Transfer Learning Framework for Chatter Detection Using Convolutional Neural Networks | Unver, H.O.; Sener, B. |
| 2021 | Optimization of Cnn Model for Breast Cancer Classification | Mikhailov N.; Shakeel M.; Urmanov A.; Lee M.-H.; Demirci M.F. |
| 2021 | Performance Analysis of Machine Learning Models for Object Recognition in Underwater Video Images | Özdilli, B.G.; Arslan, M.B.; Alp, T.; Albayrak, O.; Ünal, P.; Bozkurt, O.; Özbayoğlu, A. Murat |
| 2021 | Prediction of Mortality and Length of Stay With Deep Learning | Bardak, B. ; Tan, V.M. |
| 2022 | A Survey of Machine Learning Techniques in Structural and Multidisciplinary Optimization | Ramu, Palaniappan; Thananjayan, Pugazhenthi; Acar, Erdem ; Bayrak, Gamze; Park, Jeong Woo; Lee, Ikjin |
| 2020 | Toplu Öğrenme ile İlaç Kombinasyonlarının Sinerji Skor Tahmini | Ekşioğlu, Işıksu |
| 2021 | Two-Stage Convolutional Encoder-Decoder Network To Improve the Performance and Reliability of Deep Learning Models for Topology Optimization | Ateş, Görkem Can; Görgülüarslan, Recep Muhammet |
| 2021 | Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions | Bardak B.; Tan, Mehmet |
| 2018 | Uzun Hat Gözetleme Uygulamaları için Dağıtık Akustik Algılama Sistem Çözümü : Sinyal Modelleme, Hedef Tespiti ve Sınıflandırma Teknikleri | Maral, Hakan |
| 2019 | Zaman Serisi Analiz ve Tahmini : Derin Öğrenme Yaklaşımı | Güdelek, Mehmet Uğur |
