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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.
Conference Paper
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.
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.
Journal Article
Tuncel, K. Sinan, and M. Gokce Baydogan, "Autoregressive forests for multivariate time series modeling", Pattern Recognition, vol. 73, pp. 202 - 215, 2018.
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.
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.
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.
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.
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.
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.
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.
Görgülü, B., and M. Gokce Baydogan, "Randomized trees for time series representation and similarity", Pattern Recognition, vol. 120, pp. 108097, 2021.
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.
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.
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.
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.