24 sonucu aktar:
Yazar Başlık Tür [ Yıl
] Süzgeçler: Yazar: Mustafa Gokce Baydogan [Clear All Filters]
"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.
"Multiple instance classification via quadratic programming",
Journal of Global Optimization, pp. 1–32, 2022.
"nTreeClus: A tree-based sequence encoder for clustering categorical series",
Neurocomputing, vol. 494, pp. 224-241, 2022.
"Semi-supervised extensions of multi-task tree ensembles",
Pattern Recognition, vol. 123, pp. 108393, 2022.
"An ensemble-based semi-supervised feature ranking for multi-target regression problems",
Pattern Recognition Letters, vol. 148, pp. 36-42, 2021.
"Explainable boosted linear regression for time series forecasting",
Pattern Recognition, vol. 120, pp. 108144, 2021.
"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.
"A new feature-based time series classification method by using scale-space extrema",
Engineering Science and Technology, an International Journal, 2021.
"Randomized trees for time series representation and similarity",
Pattern Recognition, vol. 120, pp. 108097, 2021.
"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.
"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.
"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, 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.
