Publications

2024 Publications

B. Demirel, H. Ozkan, DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image, IEEE International Conference on Image Processing, 2024
Aydağ, Aleyna Nur, et al. Nesne Seçme İçin Beyin Bilgisayar Arayüzü Brain Computer Interface for Object Selection. 32nd Signal Processing and Communications Applications Conference (SIU), 2024.
Y. Günindi, Ç. Güney, H. Özkan, N. Alp, Dynamics of face perception: unraveling the role of eyes and mouth in neutral processing, Journal of vision 24(10) 2024
E. Karakaya, O. Erçetin, H. Özkan, M. Karaca, E. D. Biyar, A. Palaios, Online learning for autonomous mangement of intent-based 6G networks, Arxiv preprint arXiv:2407.17767, 2024
Uludoğan, Gökçe, et al. "Overview of the hate speech detection in turkish and arabic tweets (hsd-2lang) shared task at case 2024." Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024). 2024.
Dehghan, Somaiyeh, and Berrin Yanikoglu. "Evaluating chatgpt’s ability to detect hate speech in turkish tweets." Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024). 2024.
Fikri, Figen Beken, Kemal Oflazer, and Berrin Yanıkoğlu. "Abstractive summarization with deep reinforcement learning using semantic similarity rewards." Natural Language Engineering 30.3 (2024): 554-576.
Dehghan, Somaiyeh, and Berrin Yanıkoğlu. "Multi-domain Hate Speech Detection Using Dual Contrastive Learning and Paralinguistic Features." Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). 2024.
Yavuz, Mehmet Can, and Berrin Yanikoglu. Self-supervised variational contrastive learning with applications to face understanding. IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG). 2024.
Tasdemir, Esma F. Bilgin, et al. Automatic Transcription of Ottoman Documents Using Deep Learning. International Workshop on Document Analysis Systems. Cham: Springer Nature Switzerland, 2024.
I. Turkmenli, E. Aptoula, K. Kayabol, HistSegNet: Histogram Layered Segmentation Network for SAR Image Based Flood Segmentation, IEEE Geoscience and Remote Sensing Letters, Vol. 21, 2024
S. F. Ismael, K. Kayabol, E. Aptoula, Unsupervised Domain Adaptation for the Semantic Segmentation of Remote Sensing Images via a Class-aware Fourier Transform and a Fine-grained Discriminator, Digital Signal Processing, Vol 151, August, 2024
E. Durakli, E. Aptoula, P. Bosilj, C. Fox, A domain generalized mask r-cnn for building instance segmentation, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, July, 2024
F. Gul, E. Aptoula, A distance transform based loss function for the semantic segmentation of very high resolution remote sensing images, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, July, 2024
G. Taskin, E. Aptoula, A. Erturk, Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities, Advances in Machine Learning and Image Analysis for GeoAI, edited by S. Prasad, J. Chanussot and J. Li, Elsevier (arXiv:2311.04491 [cs.AI]), 2024 [PDF]
E. Durakli, D. E. Turan, M. Thota, P. Bosilj, E. Aptoula, Band aware domain generalization for cross-country multispectral remote sensing scene classification, 14th IEEE Workshop on Hyperspectral Image and Signal Processing (IEEE WHISPERS), Helsinki, Finland, December, 2024
Aybüke Şakacı, Alp Ertürk, Erchan Aptoula, Object Detection in Hyperspectral Images with Unsupervised Domain Adaptation, International Conference on Computer Science and Engineering (UBMK), Antalya, Türkiye, October, 2024

2023 Publications

T. Keles, H. Ozkan, A. B. Ertuzun, Online Improvement of CCA Performance in BCI Spellers, 31. IEEE Signal Processing and Communication Applications Conference, Istanbul, Türkiye, July, 2023
S. O. Pelvan, B. Can, H. Ozkan, Anomaly Detection with False Alarm Rate Controllable Classifiers, 31. IEEE Signal Processing and Communication Applications Conference, Istanbul, Türkiye, July, 2023
O. Berke Guney, D. Kucukahmetler, H. Ozkan, Source Free Domain Adaptation of a DNN for SSVEP-based Brain-Computer Interfaces, arXiv e-prints, arXiv: 2305.17403, 2023
M. Yagan, S. Musellim, S. S. Arslan, T. Cakar, N. Alp, H. Ozkan, A new benchmark dataset for P300 ERP-based BCI applications, Digital Signal Processing 135, 103950, 2023
A. K. Canki, H. Ozkan, Dhgup tabanlı beyin-bilgisayar arayüzleri için alt uzay keşfi, Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 26, 2023
B. Demirel, H. Ozkan, DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image, arXiv preprint arXiv:2303.06439, 2023
O. B. Guney, H. Ozkan, Transfer learning of an ensemble of DNNs for SSVEP BCI spellers without user-specific training, Journal of Neural Engineering 20 (1), 016013, 2023
I. Arin, Z. Isik, S. Kutal, S. Dehghan, A. Ozgur, B. Yanikoglu, SIU2023-NST - Hate Speech Detection Contest, 31. IEEE Signal Processing and Communication Applications Conference, Istanbul, Türkiye, July, 2023
Pelvan, Soner Ö., Basarbatu Can, and Huseyin Ozkan. "A hierarchical approach for improved anomaly detection in video surveillance." IEEE Access (2023).
Yavuz, Mehmet Can, and Berrin Yanikoglu. "Variational Self-Supervised Contrastive Learning Using Beta Divergence." arXiv preprint arXiv:2312.00824 (2023).
H. I. Ergül, A. Terzioglu, M Tercan, B. Yanikoglu, I. Arın, LDA Topic Modeling on Twitter Data Concerning Immigrants and Refugees, 31. IEEE Signal Processing and Communication Applications Conference, Istanbul, Türkiye, July, 2023
S. A. A. Ahmed, B. Yanikoglu, Relative attributes classification via transformers and rank SVM loss, Fifteenth International Conference on Machine Vision 12701, 420-427, 2023
A. Zeyneloglu, S. A. A. Ahmed, B. Yanikoglu, Face attribute classification with evidential deep learning, Fifteenth International Conference on Machine Vision 12701, 488-495, 2023
E Ozer, A. E. Bilecen, N. B. Ozer, B Yanikoglu, Intraoperative cytological diagnosis of brain tumours: A preliminary study using a deep learning model, Cytopathology 34 (2), 113-119, 2023
S. F. Ismael, K. Kayabol, E. Aptoula, Unsupervised Domain Adaptation for the Semantic Segmentation of Remote Sensing Images via One-Shot Image-to-Image Translation, IEEE Geoscience and Remote Sensing Letters, Vol. 20, 2023
E. Durakli, E. Aptoula, Domain generalized object detection for remote sensing images, 31. IEEE Signal Processing and Communication Applications Conference, Istanbul, Türkiye, July, 2023
I. Sahin, A. Erturk, E. Aptoula, Band-based intepretability with SHAP for hyperspectral classification, 31. IEEE Signal Processing and Communication Applications Conference, Istanbul, Türkiye, July, 2023
C. Haldiz, S. Ismael, H. Celebi, E. Aptoula, Crowd counting via joint SASNet and a guided batch normalization network, 31. IEEE Signal Processing and Communication Applications Conference, Istanbul, Türkiye, July, 2023
I. Turkmenli, K. Kayabol, E. Aptoula, A Smoothing Layer for SAR image Semantic Segmentation with fully convolutional networks, Joint Urban Remote Sensing Event, Heraklion, Greece, May, 2023
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
Sarmad F. Ismael, Koray Kayabol, Erchan Aptoula, Two-level Alignment-based Unsupervised Domain Adaptation for Semantic Segmentation of Remote Sensing Images, Akıllı Sistemlerde Yenilikler ve Uygulamalar Konferansı (ASYU), Sivas, Türkiye, October, 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

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