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