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Journal Article
Zou, N., Y. Zhu, J. Zhu, M. Gokce Baydogan, W. Wang, and J. Li, "A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems", Technometrics, vol. 57, pp. 362-373, 2015.
Yau, S. S., N. Ye, H. S. Sarjoughian, D. Huang, A. Roontiva, M. Gokce Baydogan, and M. A. Muqsith, "Toward Development of Adaptive Service-Based Software Systems", IEEE Transactions on Services Computing, vol. 2, pp. 247-260, 2009.
Baydogan, M. Gokce, and G. Runger, "Time series representation and similarity based on local autopatterns", Data Mining and Knowledge Discovery, vol. 30, pp. 476–509, 2016.
Baydogan, M. Gokce, and G. Runger, "Time series representation and similarity based on local autopatterns", Data Mining and Knowledge Discovery, vol. 30, issue 2, pp. 476–509, 03/2016.
Deng, H., M. Gokce Baydogan, and G. Runger, "SMT: Sparse multivariate tree", Statistical Analysis and Data Mining, vol. 7, issue 1, pp. 53-69, 02/2014.
Görgülü, B., and M. Gokce Baydogan, "Randomized trees for time series representation and similarity", Pattern Recognition, vol. 120, pp. 108097, 2021.
Altay, T., and M. Gokce Baydogan, "A new feature-based time series classification method by using scale-space extrema", Engineering Science and Technology, an International Journal, 2021.
Zou, N., G. Chetelat, M. Gokce Baydogan, J. Li, F. U. Fischer, D. Titov, J. Dukart, A. Fellgiebel, M. Schreckenberger, and I. Yakushev, "Metabolic connectivity as index of verbal working memory", Journal of cerebral blood flow and metabolism, vol. 35, pp. 1122—1126, July, 2015.
Küçükaşcı, E. Şeyma, M. Gokce Baydogan, and Z. C. Taşkın, "A linear programming approach to multiple instance learning", Turkish Journal of Electrical Engineering & Computer Sciences, vol. 29, pp. 2186–2201, 2021.
Baydogan, M. Gokce, and G. Runger, "Learning a symbolic representation for multivariate time series classification", Data Mining and Knowledge Discovery, vol. 29, issue 2: Springer US, pp. 400-422, 03/2015.
Ilic, I., B. Görgülü, M. Cevik, and M. Gokce Baydogan, "Explainable boosted linear regression for time series forecasting", Pattern Recognition, vol. 120, pp. 108144, 2021.
Gokasar, I., Y. Cetinel, and M. Gokce Baydogan, "Estimation of Influence Distance of Bus Stops Using Bus GPS Data and Bus Stop Properties", IEEE Transactions on Intelligent Transportation Systems, vol. 20, pp. 4635-4642, 2019.
Adıyeke, E., and M. Gokce Baydogan, "An ensemble-based semi-supervised feature ranking for multi-target regression problems", Pattern Recognition Letters, vol. 148, pp. 36-42, 2021.
Edali, M., M. Gokce Baydogan, and G. Yücel, "Classification of generic system dynamics model outputs via supervised time series pattern discovery", Turkish Journal of Electrical Engineering & Computer Sciences, vol. 27, pp. 832–846, 2019.
Adıyeke, E., and M. Gokce Baydogan, "The benefits of target relations: A comparison of multitask extensions and classifier chains", Pattern Recognition, vol. 107, pp. 107507, 2020.
Baydogan, M. Gokce, G. Runger, and E. Tuv, "A Bag-of-Features Framework to Classify Time Series", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, pp. 2796-2802, 2013.
Tuncel, K. Sinan, and M. Gokce Baydogan, "Autoregressive forests for multivariate time series modeling", Pattern Recognition, vol. 73, pp. 202 - 215, 2018.
Conference Paper
Altay, T., and M. Gokce Baydogan, "A scale-space theory and bag-of-features based time series classification method", Signal Processing and Communications Applications Conference (SIU), 2017 25th: IEEE, 2017.
Gonzalez-Sanchez, J., M. Elena Chavez-Echeagaray, L. Lin, M. Gokce Baydogan, R. Christopherson, D. Gibson, R. Atkinson, and W. Burleson, "Affect Recognition in Learning Scenarios: Matching Facial-and BCI-Based Values", 13th IEEE International Conference on Advanced Learning Technologies (ICALT'13): IEEE, 2013.
Book Chapter
Gonzalez-Sanchez, J., M. Gokce Baydogan, M. Elena Chavez-Echeagaray, R. K. Atkinson, and W. Burleson, "Affect measurement: A roadmap through approaches, technologies, and data analysis", Emotions and Affect in Human Factors and Human-Computer Interaction: Elsevier, pp. 255–288, 2017.