Export 24 results:
Author Title [ Type
] Year Filters: Author is Mustafa Gokce Baydogan [Clear All Filters]
"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.
"Affect Recognition in Learning Scenarios: Matching Facial-and BCI-Based Values",
13th IEEE International Conference on Advanced Learning Technologies (ICALT'13): IEEE, 2013.
"A scale-space theory and bag-of-features based time series classification method",
Signal Processing and Communications Applications Conference (SIU), 2017 25th: IEEE, 2017.
"Autoregressive forests for multivariate time series modeling",
Pattern Recognition, vol. 73, pp. 202 - 215, 2018.
"A Bag-of-Features Framework to Classify Time Series",
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, pp. 2796-2802, 2013.
"The benefits of target relations: A comparison of multitask extensions and classifier chains",
Pattern Recognition, vol. 107, pp. 107507, 2020.
"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.
"Column generation-based prototype learning for optimizing area under the receiver operating characteristic curve",
European Journal of Operational Research, vol. 314, pp. 297–307, 2024.
"An ensemble-based semi-supervised feature ranking for multi-target regression problems",
Pattern Recognition Letters, vol. 148, pp. 36-42, 2021.
"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.
"Explainable boosted linear regression for time series forecasting",
Pattern Recognition, vol. 120, pp. 108144, 2021.
"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.
"Learning prototypes for multiple instance learning.",
Turkish Journal of Electrical Engineering & Computer Sciences, vol. 29, 2021.
"A linear programming approach to multiple instance learning",
Turkish Journal of Electrical Engineering & Computer Sciences, vol. 29, pp. 2186–2201, 2021.
"Metabolic connectivity as index of verbal working memory",
Journal of cerebral blood flow and metabolism, vol. 35, pp. 1122—1126, July, 2015.
"Multiple instance classification via quadratic programming",
Journal of Global Optimization, pp. 1–32, 2022.
"A new feature-based time series classification method by using scale-space extrema",
Engineering Science and Technology, an International Journal, 2021.
"nTreeClus: A tree-based sequence encoder for clustering categorical series",
Neurocomputing, vol. 494, pp. 224-241, 2022.
"Randomized trees for time series representation and similarity",
Pattern Recognition, vol. 120, pp. 108097, 2021.
"Semi-supervised extensions of multi-task tree ensembles",
Pattern Recognition, vol. 123, pp. 108393, 2022.
"SMT: Sparse multivariate tree",
Statistical Analysis and Data Mining, vol. 7, issue 1, pp. 53-69, 02/2014.
"Time series representation and similarity based on local autopatterns",
Data Mining and Knowledge Discovery, vol. 30, issue 2, pp. 476–509, 03/2016.
"Toward Development of Adaptive Service-Based Software Systems",
IEEE Transactions on Services Computing, vol. 2, pp. 247-260, 2009.
"A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems",
Technometrics, vol. 57, pp. 362-373, 2015.
