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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.
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.
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.
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.
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.
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.
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.