Mustafa Gökçe Baydoğan

Email: 
mustafa.baydogan@bogazici.edu.tr
 
Lisans, EM, Orta Doğu Teknik Üniversitesi, 2006;
Y. Lisans, EM, Orta Doğu Teknik Üniversitesi, 2008;
Doktora, EM, Arizona State University, 2012.
 
Web: 
http://www.mustafabaydogan.com/
Araştırma Alanları: 
İstatistik uygulamaları, Zaman serisi analizi, Parametrik olmayan istatistik, Büyük hacimli ve çok değişkenli verilerde veri madenciliği

Dersler

Yayınlar

  1. Column generation-based prototype learning for optimizing area under the receiver operating characteristic curve, Ozcan, Erhan C., Görgülü Berk, and Baydogan Mustafa Gokce , European Journal of Operational Research, Volume 314, p.297–307, (2024)
  2. nTreeClus: A tree-based sequence encoder for clustering categorical series, Jahanshahi, Hadi, and Baydogan Mustafa Gokce , Neurocomputing, Volume 494, p.224-241, (2022)
  3. Semi-supervised extensions of multi-task tree ensembles, Adıyeke, Esra, and Baydogan Mustafa Gokce , Pattern Recognition, Volume 123, p.108393, (2022)
  4. Multiple instance classification via quadratic programming, Küçükaşcı, Emel Şeyma, Baydogan Mustafa Gokce, and Taşkın Z C. , Journal of Global Optimization, p.1–32, (2022)
  5. A new feature-based time series classification method by using scale-space extrema, Altay, Tayip, and Baydogan Mustafa Gokce , Engineering Science and Technology, an International Journal, (2021)
  6. An ensemble-based semi-supervised feature ranking for multi-target regression problems, Adıyeke, Esra, and Baydogan Mustafa Gokce , Pattern Recognition Letters, Volume 148, p.36-42, (2021)
  7. A linear programming approach to multiple instance learning, Küçükaşcı, Emel Şeyma, Baydogan Mustafa Gokce, and Taşkın Z C. , Turkish Journal of Electrical Engineering & Computer Sciences, Volume 29, p.2186–2201, (2021)
  8. Learning prototypes for multiple instance learning., Sivrikaya, Özgür Emre, Yükselgönül Mert, and Baydogan Mustafa Gokce , Turkish Journal of Electrical Engineering & Computer Sciences, Volume 29, (2021)
  9. Explainable boosted linear regression for time series forecasting, Ilic, Igor, Görgülü Berk, Cevik Mucahit, and Baydogan Mustafa Gokce , Pattern Recognition, Volume 120, p.108144, (2021)
  10. Randomized trees for time series representation and similarity, Görgülü, Berk, and Baydogan Mustafa Gokce , Pattern Recognition, Volume 120, p.108097, (2021)