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Süzgeçler: Yazar: Mustafa Gokce Baydogan  [Clear All Filters]
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.
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.
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.
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.