Dr. Öğr. Üyesi
Burcu YILMAZ
Bilişim Teknolojileri Enstitüsü
- Telefon
- (262) 605 22 24
- E-Posta
- byilmaz@gtu.edu.tr
- Ofis
- A2 Blok, Bilişim Teknolojileri Enstitüsü Kat 2 Ofis: 235
- Çalışma alanları
- Doğal Dil İşleme, Derin Öğrenme, Graph Mining, Makine Öğrenmesi, Veri Madenciliği
Journal Papers (SCI):
1. Komecoglu, B. B. ,Yilmaz, B. (2024). "Event Graph-Based News Clustering: The Role of Named Entity-Centered Subgraphs", IEEE Access.
2. Sensoy M, Yilmaz B, Norman T. J. (2014). "Stage: Stereotypical Trust Assessment Through Graph Extraction", Computational Intelligence.
3. Sensoy M., Yilmaz B., Yilmaz E. (2010). “An Intelligent Packet Loss Control Heuristic for Connectionless Real-Time Voice Communication”. Mathematical Problems in Engineering, Vol. 2010.
4. Yılmaz B., Gokturk M. (2009). “Interactive Data Mining for Molecular Graphs". Journal of Automated Methods and Management in Chemistry, Vol 2009.
Book Chapters:
1. Komecoglu, B. B. ,Yilmaz, B. (2022). Topic Detection and Tracking Towards Determining Public Agenda Items: The Impact of Named Entities on Event-Based News Clustering. Machine Learning for Societal Improvement, Modernization, and Progress,(pp. 158-179). IGI Global
2. Burcu Yılmaz, Hilal Genç, Mustafa Ağrıman, Buğra Kaan Demirdöver, Mert Erdemir, Gökhan Şimşek, Pinar Karagoz (2019), Recent Trends in the Use of Graph Neural Network Models for Natural Language Processing, IGI Global.
Conference Papers
1. Yavuz Kömeçoğlu, Başak Buluz Kömeçoğlu, Burcu Yılmaz (2021) Real-Time News Grouping: Detecting the Same-Content News on Turkish News Stream. In: Allahviranloo T., Salahshour S., Arica N. (eds) Progress in Intelligent Decision Science. IDS 2020. Advances in Intelligent Systems and Computing, vol 1301. Springer, Cham. https://doi.org/10.1007/978-3-030-66501-2_2
2. Hilal Genc, Burcu Yilmaz (2019).“Text-Based Event Detection: Deciphering Date Information Using Graph Embeddings”. Big Data Analytics and Knowledge Discovery - 21st International Conference (DaWaK 2019): 266-278.
3. Enise Karakoç, Burcu Yilmaz (2019). “Deep Learning Based Abstractive Turkish News Summarization”. 28. IEEE Sinyal İşleme ve İşletişim Uygulamaları Kurultayı (SIU):1-4.
4. Recep Firat Cekinel, Mustafa Agriman, Pinar Karagöz, Burcu Yilmaz (2019) “Named Entity Recognition with Conditional Random Fields on Turkish News Dataset: Revisiting the Features”. 28. IEEE Sinyal İşleme ve İşletişim Uygulamaları Kurultayı (SIU): 1-4.
5. Muhammed Enes ALMAHDI, Abdullah AL NAHAS, Cengiz DURNA, Burcu YILMAZ, Yusuf Sinan AKGUL (2019) "Analysis and Visualization of Sentiment Classifier Behaviors on Turkish Words, Sentences, and Paragraphs", International Conference on Computer Processing of Turkic Languages (TurkLang).
6. Basak Buluz, Burcu Yilmaz (2017). “Graph mining approach for modeling academic success”. 26. IEEE Sinyal İşleme ve İşletişim Uygulamaları Kurultayı (SIU): 1-4.
7. Sensoy M., Yilmaz B., Norman T.J. (2013). “Discovering Frequent Patterns to Bootstrap Trust”. In Proceedings of the Eighth International Workshop on Agents and Data Mining Interaction. (Published in "Lecture Notes in Computer Science", Vol. 7607, 2013, p 93-104.)
8. Sensoy M., Yilmaz B., Norman T.J. (2012). “Ranking Ad-hoc Teams Through Pattern Discovery”. In ACM EC 2012 Workshop on Incentives and Trust in E-Commerce.
9. Yılmaz B., Gokturk M. (2009). “Discovering Similar Frequent Fragments in Drug Design: A Clustering-Based Approach”. 4rd Intern. Conference on Mass Data Analysis of Signals and Image in Medicine, Biotechnology, Chemistry, and Food Industries, Vol. 1., No.1, Page(s): 48-61. (Published in “Transactions on Mass Data Analysis of Images and Signals with Applications in Medicine, Biotechnology, Chemistry and Food Industry”)
10. Yılmaz B., Gokturk M., Svets N. (2008). “User Assisted Substructure Extraction in Molecular Data Mining”. 3rd Intern. Conference on Mass Data Analysis of Signals and Image in Medicine, Biotechnology, Chemistry, and Food Industries,Vol. 5108, Pages: 12-26. (Published in “Lecture Notes in Artificial Intelligence”)
11. Yılmaz B., Shvets N. (2007). “Image Processing Applications in Molecular Modelling for the Molecular Properties Recognition and Prediction”. Intern. Conference on Theoretical and Applied Aspects of Program Systems Development, Page(s): 99-106.
12. Shvets N., Yılmaz B. (2005). “Pattern Recognition in Drug Design through Image Processing”. The IEEE International Conference on Computer as a Tool, EUROCON 2005, Vol. 2, Page(s): 1413 – 1416.
1. "Generating News Headlines from Turkish News Texts Using Deep Learning Methods," Enise Karakoç, Master's Thesis, 2019.
2. "The Graph Mining Approach in Modeling Academic Success," Başak Buluz, Master's Thesis, 2017.
- Doktora: 2010, Bilgisayar Mühendisliği, Gebze Yüksek Teknoloji Enstitüsü.
- Yüksek lisans: 2004, Matematik Bilgisayar, İstanbul Kültür Üniversitesi.
- Lisans: 2002, Matematik, İstanbul Universitesi.