- Demir, E., & Gunal, S. (2025). Short-term electricity consumption forecasting with deep learning. The Journal of Supercomputing, 81(10), 1108.
- Gunduz, H., & Gunal, S. (2024). A lightweight convolutional neural network (CNN) model for diatom classification: DiatomNet. PeerJ Computer Science, 10, e1970.
- Sidi, M. L., & Gunal, S. (2023). A purely entity-based semantic search approach for document retrieval. Applied Sciences, 13(18), 10285.
- Pak, M. Y., & Gunal, S. (2022). A model for cross-domain opinion target extraction in sentiment analysis. Computer Systems Science and Engineering, 42(3), 1215-1239.
- Gunduz, H., Solak, C. N., & Gunal, S. (2022). Segmentation of diatoms using edge detection and deep learning. Turkish Journal of Electrical Engineering and Computer Sciences, 30(6), 2268-2285.
- Kilicarslan, M., & Temel, T. (2022). Motion-aware vehicle detection in driving videos. Turkish Journal of Electrical Engineering and Computer Sciences, 30(1), 63-78.
- Kilicarslan, M., & Zheng, J. Y. (2022). DeepStep: Direct detection of walking pedestrian from motion by a vehicle camera. IEEE Transactions on Intelligent Vehicles, 8(2), 1652-1663.
- Berkaya, S. K., Gunal, E. S., & Gunal, S. (2021). Deep learning-based classification models for beehive monitoring. Ecological Informatics, 101353.
- Berkaya, S. K., Sivrikoz, I. A., & Gunal, S. (2020). Classification models for SPECT myocardial perfusion imaging. Computers in Biology and Medicine, 123, 103893.