Research Interests
Intelligent systems, fuzzy systems, machine learning, evolutionary computation, soft computing, multimedia databases
Education
Ph.D. in Computer Science, 2008 - ..
Middle East Technical University, Ankara
MS in Computer Science, 2004 - 2008
Middle East Technical University, Ankara
Thesis: "Object Extraction From Images/Videos Using a Genetic Algorithm Based Approach" [pdf]
Advisor: Prof. Dr. Adnan Yazıcı
BS in Computer Science, 2000 - 2004
Bilkent University, Ankara
Publications
Yakup Yildirim, Adnan Yazici and Turgay Yilmaz. Automatic Semantic Content Extraction in Videos using a Fuzzy Ontology and Rule-based Model. In IEEE Transactions on Knowledge and Data Engineering, In-Press.
Turgay Yilmaz, Adnan Yazici and Yakup Yildirim. Exploiting Class-Specific Features in Multi-Feature Dissimilarity Space for Efficient Querying of Images. Flexible Query Answering Systems, 9th International Conference, FQAS 2011, Ghent, Belgium, October 26-28, 2011, Proceedings. Lecture Notes in Artificial Intelligence, Springer, In-Press.
Utku Demir, Murat Koyuncu, Adnan Yazici, Turgay Yilmaz and Mustafa Sert. Flexible Content Extraction and Querying for Videos. Flexible Query Answering Systems, 9th International Conference, FQAS 2011, Ghent, Belgium, October 26-28, 2011, Proceedings. Lecture Notes in Artificial Intelligence, Springer, In-Press.
Turgay Yilmaz, Yakup Yildirim and Adnan Yazici. A Genetic Algorithms Based Classifier For Object Classification In Images. 26th International Symposium on Computer and Information Sciences, ISCIS 2011, London, UK, September 26-28, 2011, Proceedings. Lecture Notes in Electrical Engineering, Springer, In-Press.
Murat Koyuncu, Turgay Yilmaz, Yakup Yildirim and Adnan Yazici. A Framework for Fuzzy Video Content Extraction, Storage and Retrieval In FUZZ-IEEE'10: Proceedings of the IEEE International Conference on Fuzzy Systems 2010, Barcelona, SPAIN, 2010.
Yakup Yildirim, Turgay Yilmaz, and Adnan Yazici. Ontology-supported object and event extraction with a genetic algorithms approach for object classification. In CIVR'07: Proceedings of the 6th ACM international conference on Image and video retrieval, pages 202-209, New York, NY, USA, 2007. ACM.