12 sonucu aktar:
Yazar Başlık Tür [ Yıl
] Süzgeçler: Yazar: Mustafa Gokce Baydogan [Clear All Filters]
"Autoregressive forests for multivariate time series modeling",
Pattern Recognition, vol. 73, pp. 202 - 215, 2018.
"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.
"A scale-space theory and bag-of-features based time series classification method",
Signal Processing and Communications Applications Conference (SIU), 2017 25th: IEEE, 2017.
"Time series representation and similarity based on local autopatterns",
Data Mining and Knowledge Discovery, vol. 30, pp. 476–509, 2016.
"Time series representation and similarity based on local autopatterns",
Data Mining and Knowledge Discovery, vol. 30, issue 2, pp. 476–509, 03/2016.
"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.
"Metabolic connectivity as index of verbal working memory",
Journal of cerebral blood flow and metabolism, vol. 35, pp. 1122—1126, July, 2015.
"A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems",
Technometrics, vol. 57, pp. 362-373, 2015.
"SMT: Sparse multivariate tree",
Statistical Analysis and Data Mining, vol. 7, issue 1, pp. 53-69, 02/2014.
"Affect Recognition in Learning Scenarios: Matching Facial-and BCI-Based Values",
13th IEEE International Conference on Advanced Learning Technologies (ICALT'13): IEEE, 2013.
"A Bag-of-Features Framework to Classify Time Series",
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, pp. 2796-2802, 2013.
"Toward Development of Adaptive Service-Based Software Systems",
IEEE Transactions on Services Computing, vol. 2, pp. 247-260, 2009.
