Mustafa Gökçe Baydoğan
![](https://ie.bogazici.edu.tr/sites/ie.boun.edu.tr/files/styles/faculty_members_125_x_125/public/Dr.%C3%96%C4%9Fr.%C3%9Cyesi%20Mustafa%20G%C3%B6k%C3%A7e%20Baydo%C4%9Fan.jpg?itok=v0Ui2pM_)
B.S. in IE, Middle East Technical Univ., 2006;
M.S. in IE, Middle East Technical Univ., 2008;
Ph.D. in IE, Arizona State University, 2012.
Personal Web Site:
Research Interests:
Statistical learning, Time series data mining, Mining massive multivariate datasets, Ensemble learning
Recent publications
-
Column generation-based prototype learning for optimizing area under the receiver operating characteristic curve, , European Journal of Operational Research, Volume 314, p.297–307, (2024)
-
nTreeClus: A tree-based sequence encoder for clustering categorical series, , Neurocomputing, Volume 494, p.224-241, (2022)
-
Semi-supervised extensions of multi-task tree ensembles, , Pattern Recognition, Volume 123, p.108393, (2022)
-
Multiple instance classification via quadratic programming, , Journal of Global Optimization, p.1–32, (2022)
-
Explainable boosted linear regression for time series forecasting, , Pattern Recognition, Volume 120, p.108144, (2021)
-
Randomized trees for time series representation and similarity, , Pattern Recognition, Volume 120, p.108097, (2021)
-
A new feature-based time series classification method by using scale-space extrema, , Engineering Science and Technology, an International Journal, (2021)
-
An ensemble-based semi-supervised feature ranking for multi-target regression problems, , Pattern Recognition Letters, Volume 148, p.36-42, (2021)
-
A linear programming approach to multiple instance learning, , Turkish Journal of Electrical Engineering & Computer Sciences, Volume 29, p.2186–2201, (2021)
-
Learning prototypes for multiple instance learning., , Turkish Journal of Electrical Engineering & Computer Sciences, Volume 29, (2021)
- 1 of 3
- next ›