Journal Publications

• Kaya, A., Kilic, A. Y., Genc, M. C., & Kural, A. (2025). Detection and correction of the flashing parts that trigger photosensitive epilepsy in videos. Signal, Image and Video Processing, 19(12), 967.

• Karaca, E. E., Ustael, A. B., Keçeli, A. S., Kaya, A., Uçan, A., & Kemer, O. E. (2024). Predicting Success in Descemet Membrane Endothelial Keratoplasty Surgery Using Machine Learning. Cornea, 10-1097.

• Amiri, A., Kaya, A., & Keceli, A. S. (2024). A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges. arXiv preprint arXiv:2401.10643.

• Keceli, A. S., & Kaya, A. (2023). Violent activity classification with transferred deep features and 3d-Cnn. Signal, Image and Video Processing, 17(1), 139-146.

• Keçeli, A. S., Kaya, A., & Can, A. B. (2022). 3D Skeletal Volume Templates for Deep Learning-Based Activity Recognition. Electronics, 11(21), 3567.

• Keceli, A. S., Kaya, A., Catal, C., & Tekinerdogan, B. (2022). Deep learning-based multi-task prediction system for plant disease and species detection. Ecological Informatics, 101679.

• Keceli, A. S., & Kaya, A. (2022). Violent activity classification with transferred deep features and 3d-Cnn. Signal, Image and Video Processing, 1-8.

• Kaya, A., Keçeli, A. S., Catal, C., & Tekinerdogan, B. (2020). Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model. Sensors, 20(11), 3173.

• Keceli, A. S., Catal, C., Kaya, A., & Tekinerdogan, B. (2020). Development of a recurrent neural networks-based calving prediction model using activity and behavioral data. Computers and Electronics in Agriculture, 170, 105285.

• Kaya, A., Keceli, A. S., Catal, C., & Tekinerdogan, B. (2019). The impact of feature types, classifiers, and data balancing techniques on software vulnerability prediction models. Journal of Software: Evolution and Process, 31(9), e2164.

• Kaya, A., Keceli, A. S., Catal, C., Yalic, H. Y., Temucin, H., & Tekinerdogan, B. (2019). Analysis of transfer learning for deep neural network based plant classification models. Computers and Electronics in Agriculture, 158, 20-29.

• Keçeli, Ali Seydi, and Aydın Kaya. (2019) "Video Görüntülerinde Şiddet İçeren Aktivitelerin Lstm Ağı İle Tespiti." Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 21.63: 933-939.

• Keçeli, A. S., & Kaya, A. (2018). Optik Akış Görüntüsü ve Bi-Lstm ile Şiddet İçeren Hareketlerin Sınıflandırılması. Avrupa Bilim ve Teknoloji Dergisi, (14), 204-208.

• Kaya, A. (2018). Cascaded classifiers and stacking methods for classification of pulmonary nodule characteristics. Computer methods and programs in biomedicine, 166, 77-89.

• Keçeli, A. S., Kaya, A., & Can, A. B. (2018). Combining 2D and 3D deep models for action recognition with depth information. Signal, Image and Video Processing, 1-9.

• Kaya A., Keçeli, A.S., Can, A.B. (2018). Examination of various classification strategies in classification of lung nodule characteristics, Journal of the Faculty of Engineering and Architecture of Gazi University (2018), https://doi.or./10.17341/gazimmfd.416530

• Keçeli, A. S., Kaya, A., & Can, A. B. (2017). Depth features to recognise dyadic interactions. IET Computer Vision, 12(3), 331-339.

• Keçeli, A. S., Kaya, A., & Keçeli, S. U. (2017). Classification of radiolarian images with hand-crafted and deep features. Computers & Geosciences, 109, 67-74.

• Kaya, A., Keçeli, A. S., Can, A. B., & Çakmak, H. B. (2017). Cyclotorsion measurement using scleral blood vessels. Computers in biology and medicine, 87, 152-161.

• Keçeli, A. S., & Kaya, A. (2017). Violent activity detection with transfer learning method. Electronics Letters, 53(15), 1047-1048.

• Keçeli, A. S., Can, A. B., & Kaya, A. (2017). A GPU-Based Approach for Automatic Segmentation of White Matter Lesions. IETE Journal of Research, 63(4), 461-472.

• Kaya, A., & Can, A. B. (2015). A weighted rule based method for predicting malignancy of pulmonary nodules by nodule characteristics. Journal of biomedical informatics, 56, 69-79.

• Kaya, A., & Can, A. B. “eFis: A Fuzzy Inference Method for Predicting Malignancy of Small Pulmonary Nodules”, Lecture Notes in Computer Science, 2014.

• Kerem Erzurumlu, and Aydın Kaya. "The problems of public accessed computer laboratories and a suggestion for these problems’ solution." Procedia Computer Science, 2011.

Conference Publications

• Emine Çelik, Aydın Kaya, Ali Seydi Keçeli, Hakan Erçelebi, Turgay Çelik, Ercan Demir, Tuğba Hirfanoğlu, Esra Serdaroğlu, Meraj Siddiqui, Ebru Arhan (2025,July) Predicting the Progression of Patients with SeLECTS Diagnosis to EE-SWAS with Artificial Intelligence, 16th European Pediatric Neurology Society Congress, Munich.

• Karaca, E. E., Işık, F. D., Kaya, A., & Kemer, O. E. (2025, April). The Use of Convolutional Neural Network for Automatic Classification of Corneal Health after Descemet Membrane Endothelial Keratoplasty. In 2025 ASCRS ASOA Annual Meeting. ASCRS.

• Inderyas, O., Alver, N., Kaya, A., & Bagci, U. (2025). Structures Using Convolutional Neural Network. In Data Science in Engineering: Proceedings of the 42nd IMAC, a Conference and Exposition on Structural Dynamics 2024 (Vol. 10, p. 129). Springer Nature.

• Inderyas, O., Alver, N., & Kaya, A. (2024, March). A deep learning based damage estimation model incorporating hybrid AE data for monitoring reinforced concrete structures. In 8th International Conference on Road and Rail Infrastructure.

• Gün, M., Kürkçü, B., & Kaya, A. (2024, May). Extending Virtual Force Field for Obstacle Avoidance via Polynomial Extrapolation. In 2024 International Conference on Control, Automation and Diagnosis (ICCAD) (pp. 1-6). IEEE.

• Inderyas, O., Alver, N., Kaya, A., & Bagci, U. (2024, January). Estimation of Acoustic Emission Arrival Time in Concrete Structures Using Convolutional Neural Network. In IMAC, A Conference and Exposition on Structural Dynamics (pp. 129-135). Cham: Springer Nature Switzerland.

• Karaca, E. E., Ustael, A. B., Keçeli, A. S., Kaya, A. & Kemer, O. E. , (2024)Predicting Success in Descemet Membrane Endothelial Keratoplasty Surgery Using Neural Network, ASCRS Annual Meeting, Boston MA.

• Kacem, T., Kaya, A., Keceli, A. S., Catal, C., Wijsekera, D., & Costa, P. (2021, July). ADS-B Attack Classification using Machine Learning Techniques. In 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops) (pp. 7-12). IEEE.

• Keceli, A. S., Kaya, A., Catal, C., & Tekinerdogan, B. (2019). Software Vulnerability Prediction using Extreme Learning Machines Algorithm, UYMS, İzmir, Turkey, 2019.

• Ali Seydi Keçeli, Seda Uzunçimen Keçeli, Aydın Kaya, “Classification of radiolarian fossil images with deep learning methods”, IEEE 26. Sinyal İşleme ve İletişim Uygulamaları (SIU) Kurultayı, 2018.

• Aydın Kaya, Ali Seydi Keçeli, Ahmet Burak Can, “Akciğer Nodül özelliklerinde Nakil öğrenmenin incelenmesi”, IEEE 25. Sinyal İşleme ve İletişim Uygulamaları (SIU) Kurultayı, 2017.

• Ali Seydi Keçeli, Aydın Kaya, Ahmet Burak Can, İskelet Hacmi ve Derin öğrenme ile Hareket Tanıma, IEEE 25. Sinyal İşleme ve İletişim Uygulamaları (SIU) Kurultayı, 2017.

• Aydın Kaya, Ahmet Burak Can, “Malignancy Prediction By Using Characteristic-Based Fuzzy Sets: A Preliminary Study”, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 2015, Istanbul, Turkey.

• Aydın Kaya, Ahmet Burak Can, “eFis: A Fuzzy Inference Method for Predicting Malignancy of Small Pulmonary Nodules”, International Conference on Image Analysis and Recognition 2014, Vilamoura, Portugal. (Published in Journal)

• Aydın Kaya, Ahmet Burak Can, “Determining Malignancy of Small Pulmonary Nodules by Nodule Characteristics”, 6th European Conference of the International Federation for Medical and Biological Engineering 2014, Dubrovnik, Crotia.

• Aydın Kaya, Ahmet Burak Can, "Akciğer Nodüllerinin Nitelendirilmesi", 21. IEEE Sinyal İşleme ve İletişim Uygulamaları Kurultayı, 2013, KKTC.

• SDPS Berlin 2012 Çalıştay Düzenleme: “New Techniques And Technologies For Bioinformatics Research” Erdal Coşgun, Aydın Kaya, Ali Seydi Keçeli, Ergun Karaağaoğlu, "GeneLearneR: Genetik Veri Madenciliği Analiz Aracı", 14. Ulusal Biyoistatistik Kongresi, 2012, Erciyes.

• Erdal Coşgun, Aydın Kaya, Ali Seydi Keçeli, Yiğitcan Aksarı, “Gene 3E: Genetik Veri Madenciliği için Yeni Analiz Aracı”, Ulusal Tıp Bilişimi Kongresi, 2011, Antalya.

• Ali Seydi Keçeli, Aydın Kaya, Erdal Coşgun, “Clustering Based Classification On Remote Sensing Images”, SDPS 2011, S.Korea.

• Kerem Erzurumlu, Aydın Kaya, “The Problems Of Public Accessed Computer Laboratories And A Suggestion For These Problems' Solutions”, WCIT 2010, Istanbul. (Published in Journal)

• Aydın Kaya, Ahmet Burak Can, Hasan Basri Çakmak, “Designing A Pattern Stabilization Method Using Scleral Blood Vessels For Laser Eye Surgery”, ICPR 2010, Istanbul.

• Aydın Kaya, Ahmet Burak Can, “Lazer Goz Cerrahisi icin Bir Goz Takip Yontemi Gelistirilmesi”, SIU 2009, Antalya.

• Kerem Erzurumlu, Aydın Kaya, “Ortak Kullanım Amacı İle Oluşturulan Bilgisayar Laboratuvarlarının Sorunları Ve Bu Sorunların Çözümü İçin Bir Öneri”, Bilişim 2009, Ankara.

Book Chapters

• Hüseyin Temuçin, Ali Seydi Keçeli, Aydın Kaya, Hamdi Yalın Yalıç, Bedir Tekinerdoğan, “A Cloud-Based Big Data System To Support Visually Impaired People”, Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications, Elsevier, 2018 August.

• Aydin Kaya, Ali Seydi Keceli, Cagatay Catal, Bedir Tekinerdogan,"Model-based Defect Prediction using Design Level Metrics and Sampling Techniques", Elsevier, 2020. 

Thesis

• MSc: Developing A Pattern Tracking And Registration Method For Laser Eye Surgery, Hacettepe University, 2009. 

• PhD: Characterization Of Lung Nodules With Computer Aided Diagnosis System, Hacettepe University, 2015.