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 (August,2018)
- Aydin Kaya, Ali Seydi Keceli, Cagatay Catal, Bedir Tekinerdogan,"Model-based Defect Prediction using Design Level Metrics and Sampling Techniques", Elsevier, 2019 (In Press)
Journal Publications
- Aydin Kaya, Ali Seydi Keceli, Cagatay Catal, Bedir Tekinerdogan, "The Impact of Feature Types, Classifiers, and Data Balancing Techniques on Software Vulnerability Prediction Models", Journal of Software: Evolution and Process, 2019.
- Aydin Kaya, Ali Seydi Keceli, Cagatay Catal, Hamdi Yalin Yalic, Huseyin Temucin, Bedir Tekinerdogan, "Analysis of transfer learning for deep neural network based plant classification models", Computers and Electronics in Agriculture, 2019.
- Ali Seydi Keceli, Aydin Kaya, "Classification of Violent Activities with Optical Flow Imageand Bi-Lstm ", EJOSAT, 2018 (In Turkish).
- Aydın Kaya, "Cascaded Classifiers and Stacking Methods for Classification of Pulmonary Nodule Characteristics", Computer Methods and Programs in Biomedicine, 2018.
- Ali Seydi Keçeli, Aydın Kaya, Ahmet Burak Can, "Combining 2D and 3D deep models for action recognition with depth information", Signal, Image and Video Processing, 2018.
- Aydın Kaya, Ali Seydi Keçeli, Ahmet Burak Can, "Examination of various classification strategies in classification of lung nodule characteristics", Journal of the Faculty of Engineering and Architecture of Gazi University, 2018. (In Turkish)
- Ali Seydi Keçeli, Aydın Kaya, Ahmet Burak Can, "Depth features to recognize dyadic interactions", IET Computer Vision, 2017.
- Ali Seydi Keçeli, Aydın Kaya, Seda Uzunçimen Keçeli, “Classification of radiolarian images with hand-crafted and deep features”, Computers and Geosciences, 2017.
- Aydın Kaya, Ali Seydi Keçeli, Ahmet Burak Can, Hasan Basri Çakmak, "Cyclotorsion measurement using scleral blood vessels", Computers in Biology and Medicine, 2017.
- Ali Seydi Keçeli, Aydın Kaya, "Violent activity detection with transfer learning method", Electronics Letters, 2017.
- Ali Seydi Keçeli, Ahmet Burak Can, Aydın Kaya, "A GPU-Based Approach for Automatic Segmentation of White Matter Lesions", IETE Journal of Research, 2017.
- Aydın Kaya, Ahmet Burak Can, “A Weighted Rule Based Method for Predicting Malignancy of Pulmonary Nodules by Nodule Characteristics”, Journal of Biomedical Informatics, 2015.
- Aydın Kaya, Ahmet Burak Can, “eFis: A Fuzzy Inference Method for Predicting Malignancy of Small Pulmonary Nodules”, Lecture Notes in Computer Science, 2014.
- Hamdi Yalın Yalıç, Ali Seydi Keçeli, Aydın Kaya, "On-Board Driver Assistance System for Lane Departure Warning and Vehicle Detection", International Journal of Electrical Energy, 2013.
- Kerem Erzurumlu, and Aydın Kaya. "The problems of public accessed computer laboratories and a suggestion for these problems’ solution." Procedia Computer Science, 2011.
Conference Proceedings
- Ali Seydi Keçeli, Seda Uzuncimen Keceli, 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 LNCS)
- 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, Croatia.
- Aydın Kaya, Ahmet Burak Can, "Akciğer Nodüllerinin Nitelendirilmesi", 21. IEEE Sinyal İşleme ve İletişim Uygulamaları Kurultayı, 2013, KKTC.
- SDPS Berlin 2012 Workshop Coordination: “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 Procedia)
- 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”, IEEE 17. Sinyal İşleme ve İletişim Uygulamaları (SIU) Kurultayı, Antalya.
- Kerem Erzurumlu, Aydın Kaya, “Ortak Kullanım Amacı İle Oluşturulan Bilgisayar Laboratuvarlarının Sorunları Ve Bu Sorunların Çözümü İçin Bir Öneri”, Bilişim 2009, Ankara.
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.