Mustafa Gökçe Baydoğan

Email: 
mustafa.baydogan@bogazici.edu.tr
 
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: 
http://www.mustafabaydogan.com/
Research Interests: 
Statistical learning, Time series data mining, Mining massive multivariate datasets, Ensemble learning

Offered courses

Recent publications

  1. The benefits of target relations: A comparison of multitask extensions and classifier chains, Adıyeke, Esra, and Baydogan Mustafa Gokce , Pattern Recognition, Volume 107, p.107507, (2020)
  2. Classification of generic system dynamics model outputs via supervised time series pattern discovery, Edali, Mert, Baydogan Mustafa Gokce, and Yücel Gönenç , Turkish Journal of Electrical Engineering & Computer Sciences, Volume 27, p.832–846, (2019)
  3. Estimation of Influence Distance of Bus Stops Using Bus GPS Data and Bus Stop Properties, Gokasar, Ilgin, Cetinel Yigit, and Baydogan Mustafa Gokce , IEEE Transactions on Intelligent Transportation Systems, Volume 20, p.4635-4642, (2019)
  4. Autoregressive forests for multivariate time series modeling, Tuncel, Kerem Sinan, and Baydogan Mustafa Gokce , Pattern Recognition, Volume 73, p.202 - 215, (2018)
  5. A scale-space theory and bag-of-features based time series classification method, Altay, Tayip, and Baydogan Mustafa Gokce , Signal Processing and Communications Applications Conference (SIU), 2017 25th, (2017)
  6. Affect measurement: A roadmap through approaches, technologies, and data analysis, Gonzalez-Sanchez, Javier, Baydogan Mustafa Gokce, Chavez-Echeagaray Maria Elena, Atkinson Robert K., and Burleson Winslow , Emotions and Affect in Human Factors and Human-Computer Interaction, p.255–288, (2017)
  7. Time series representation and similarity based on local autopatterns, Baydogan, Mustafa Gokce, and Runger George , Data Mining and Knowledge Discovery, 03/2016, Volume 30, Issue 2, p.476–509, (2016)
  8. A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems, Zou, Na, Zhu Yun, Zhu Ji, Baydogan Mustafa Gokce, Wang Wei, and Li Jing , Technometrics, Volume 57, p.362-373, (2015)
  9. Learning a symbolic representation for multivariate time series classification, Baydogan, Mustafa Gokce, and Runger George , Data Mining and Knowledge Discovery, 03/2015, Volume 29, Issue 2, p.400-422, (2015)
  10. Metabolic connectivity as index of verbal working memory, Zou, Na, Chetelat Gael, Baydogan Mustafa Gokce, Li Jing, Fischer Florian U., Titov Dmitry, Dukart Juergen, Fellgiebel Andreas, Schreckenberger Mathias, and Yakushev Igor , Journal of cerebral blood flow and metabolism, July, Volume 35, p.1122—1126, (2015)