Peer-reviewed, SCI-expanded indexed journal publications:
- Köktürk-Güzel, B. E., & Beyhan, S. (2021). Symbolic Regression Based Extreme Learning Machine Models for System Identification. Neural Processing Letters, 53(2), 1565-1578. https://doi.org/10.1007/s11063-021-10465-2
B.E. Köktürk Güzel, B. Karaçalı, Identification and visualization of cell subgroups in uncompensated flow cytometry data, Chemometrics and Intelligent Laboratory Systems, https://doi.org/10.1016/j.chemolab.2019.103892
- Köktürk BE, Karaçalı B. Annealing-based model-free expectation maximisation for multi-colour flow cytometry data clustering. International Journal of Data Mining and Bioinformatics. 2016;14(1):86-99. http://doi.org/10.1504/IJDMB.2016.073365
Peer-reviewed international journal publications:
- Köktürk-Güzel, B.E., &Ünay D., Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms. Natural and Applied Sciences Journal, 4(2), 1-15. https://doi.org/10.38061/idunas.848233
Peer-reviewed international conference publications:
- Köktürk-Güzel, B. E., Mocan, B., Arslan, B., Polat, G., & Kavuşan, T. (2021, September). Demographic Targeting With Epsilon-greedy Exploration in Digital Advertising. In 2021 6th International Conference on Computer Science and Engineering (UBMK) (pp. 435-439). IEEE. doi: 10.1109/UBMK52708.2021.9558951
- Bakanoğlu K, Uçkaç ÖD, Özkan I,Köktürk Güzel, Detection of Atrial Fibrillation from Commercial Smartwatches Data: A Survey, International Design and Engineering Symposium on 10-12 October 2019 (pp 466-470). (pdf)
- Köktürk Güzel BE, Güzel B, ÜNLÜ MZ, Comprehensive Comparison of Medical Image Reconstruction Algorithms: Application to Positron Emission Mammography, International Design and Engineering Symposium on 10-12 October 2019 (pp 66-73). (pdf)
- Güzel BE, Karaçalı B. Fisher’s linear discriminant analysis based prediction using transient features of Seismic Events in Coal Mines. In Computer Science and Information Systems (FedCSIS), 2016 Federated Conference on 2016 Sep 11 (pp. 231-234). IEEE.
- Köktürk BE, Karaçalı B. Model-free expectation maximization for divisive hierarchical clustering of multicolor flow cytometry data. In Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on 2014 Nov 2 (pp. 267-272). IEEE. doi: 10.1109/BIBM.2014.6999166
Peer-reviewed national conference publications:
- Güzel, Başak Esin Köktürk, and Devrim Önder. “Performance comparison of boosting classifiers on breast thermography images.” In 2018 26th Signal Processing and Communications Applications Conference (SIU). IEEE, 2018.
- Sargan E, Köktürk BE. Detection of vessels in a retinal image using decomposed pixel classification method. In Signal Processing and Communications Applications Conference (SIU), 2015 23th 2015 May 16 (pp. 974-977). IEEE.
- Köktürk BE, Karaçalı B. Quasi-supervised learning on DNA regions in colon cancer histology slides. In Signal Processing and Communications Applications Conference (SIU), 2013 21st 2013 Apr 24 (pp. 1-4). IEEE.
- Köktürk BE, Karaçalı B. Automated labeling of electroencephalography data using quasi-supervised learning. In Signal Processing and Communications Applications Conference (SIU), 2012 20th 2012 Apr 18 (pp. 1-4). IEEE.