2023 Publications 

• D. E. Turan, E. Aptoula, A. Erturk, G. Taskin, Interpreting hyperspectral remote sensing image classification methods via explainable artificial intelligence, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Pasadena (California), USA, July, 2023

• K. Seemakurthy, P. Bosilj, E. Aptoula, C. Fox, Domain Generalised Fully Convolutional One Stage Detection, IEEE International Conference on Robotics and Automation (ICRA), London, UK, 2023 

•  K. Seemakurthy, C. Fox, E. Aptoula, P. Bosilj, Domain generalised Faster R-CNN, The 37th AAAI Conference on Artificial Intelligence, Washington DC, USA, 2023

2022 Publications 

• H Üzen, M Türkoğlu, B Yanikoglu, D Hanbay, Swin-MFINet: Swin transformer based multi-feature integration network for detection of pixel-level surface defects, Expert Systems with Applications 209, 118269 

• F Beyhan, B Carık, I Arın, A Terzioglu, B Yanikoglu, R Yeniterzi, A Turkish Hate Speech Dataset and Detection System, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), Marseille, 20-25 June 2022  

• Sara Atito Ali Ahmed, Mehmet Can Yavuz, Mehmet Umut Şen, Fatih Gülşen, Onur Tutar, Bora Korkmazer, Cesur Samancı, Sabri Şirolu, Rauf Hamid, Ali Ergun Eryürekli, Toghrul Mammadov, Berrin Yanikoglu, Comparison and ensemble of 2D and 3D approaches for COVID-19 detection in CT images, Neurocomputing 488, 457-469 

• MC Yavuz, B Yanıkoğlu, VCL-PL: semi-supervised learning from noisy web data with variational contrastive learning, Int. Conference on Pattern Recognition, Montreal, Canada, Aug. 20-25, 2022 

• KS Min, MA Zulkifley, B Yanikoglu, NAM Kamari, Apex Frame Spotting Using Convolutional Neural Networks with Continuous Labeling, Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications 

• N Alp, H Ozkan, Neural correlates of integration processes during dynamic face perception, Scientific reports 12 (1), 1-12 

• M Erdem, H Ozkan, O Gurbuz, A new online nonlinear self-interference cancelation method with random fourier features, IEEE Wireless Communications Letters 11 (7), 1379-1383 

• OB Güney, D Küçükahmetler, P Çiftçioğlu, G Coşkun, H Özkan, Unsupervised Adaptation of DNN for Brain-Computer Interface Spellers, 30th Signal Processing and Communications Applications Conference 

• AE Bilecen, H Özkan, Object-Centric Video Anomaly Detection with Covariance Features, 30th Signal Processing and Communications Applications Conference

• M Yagan, EA Yilmaz, H Özkan, Anomaly Detection in Surveillance Videos Using Regression With Recurrent Neural Networks, 30th Signal Processing and Communications Applications Conference 

• Y Çatak, K Şahin, OB Güney, H Özkan, Deep Convolutional Autoencoder Architecture for Predictive Maintenance Applications, 30th Signal Processing and Communications Applications Conference 

• B Can, H Özkan, Active Learning for Online Nonlinear Neyman-Pearson Classification, 30th Signal Processing and Communications Applications Conference 

• AE Bilecen, A Ozalp, MS Yavuz, H Ozkan, Video anomaly detection with autoregressive modeling of covariance features, Signal, Image and Video Processing 16 (4), 1027-1034 

• B Kuşkonmaz, H Özkan, Investigation of Fourier features via neural networks and an application to smart steering in wireless mesh networks, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 28 (5), 681-691