| 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 | Artificial intelligence for machining process monitoring | Ünver, H.; 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. |
| 2023 | Convolutional encoder-decoder network using transfer learning for topology optimization | Ateş, Görkem Can; Görgülüarslan, Recep M. |
| 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. |
| 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 |
| 2020 | Küresel konumlama sistemi kaybı olan ortamlarda insansız 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 ilaç 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 |
