Mustafa Gökçe Baydoğan
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
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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)
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nTreeClus: A tree-based sequence encoder for clustering categorical series, , Neurocomputing, Volume 494, p.224-241, (2022)
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Semi-supervised extensions of multi-task tree ensembles, , Pattern Recognition, Volume 123, p.108393, (2022)
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Multiple instance classification via quadratic programming, , Journal of Global Optimization, p.1–32, (2022)
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Randomized trees for time series representation and similarity, , Pattern Recognition, Volume 120, p.108097, (2021)
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A new feature-based time series classification method by using scale-space extrema, , Engineering Science and Technology, an International Journal, (2021)
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An ensemble-based semi-supervised feature ranking for multi-target regression problems, , Pattern Recognition Letters, Volume 148, p.36-42, (2021)
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A linear programming approach to multiple instance learning, , Turkish Journal of Electrical Engineering & Computer Sciences, Volume 29, p.2186–2201, (2021)
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Learning prototypes for multiple instance learning., , Turkish Journal of Electrical Engineering & Computer Sciences, Volume 29, (2021)
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Explainable boosted linear regression for time series forecasting, , Pattern Recognition, Volume 120, p.108144, (2021)
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