| Issue Date | Title | Author(s) |
1 | Sep-2018 | Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach | Sezer, Ömer Berat; Özbayoğlu, Ahmet Murat |
2 | 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 |
3 | 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 |
4 | 2021 | Deep learning-based investment strategy: technical indicator clustering and residual blocks | Maratkhan, Anuar; İlyassov, Ibrakhim; Aitzhanov, Madiyar; Demirci, Muhammed Fatih ; Özbayoğlu, Ahmet Murat |
5 | 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 |
6 | 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 |
7 | May-2020 | Financial time series forecasting with deep learning : A systematic literature review: 2005-2019 | Sezer, Ömer Berat; Güdelek, Mehmet Uğur; Özbayoğlu, Ahmet Murat |
8 | 2022 | Hybrid Method by Integrating Deep Reinforcement Learning and Heuristics Approach for Capacitated Vehicle Routing Problem | Aktaş, Y.F.; Özbayoğlu, A.M. |
9 | 2021 | A novel chatter detection method for milling using deep convolution neural networks | Şener, B.; Güdelek, M. U.; Özbayoğlu, Ahmet Murat ; Ünver, Hakkı Özgür |
10 | 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 |