Publications
Peer-reviewed journal articles, conference papers, and academic contributions.
Karademir, T., Kaleli-Can, G., & Köktürk-Güzel, B. E. (2025). Smartphone-Compatible Colorimetric Detection of CA19-9 Using Melanin Nanoparticles and Deep Learning. Biosensors, 15(8), 507.
Köktürk-Güzel, B. E. (2025). An End-to-End Deep Learning System for Automated Fashion Tagging: Segmentation, Classification, and Hierarchical Labeling. IEEE Access.
Ergün, M. A., Köktürk-Güzel, B. E., & Keskin-Gündoğdu, T. (2025). Optimizing Xylanase Production: Bridging Statistical Design and Machine Learning for Improved Protein Production. Fermentation, 11(6), 319.
Köktürk-Güzel, B. E., Büyük, O., Bozkurt, B., & Baysal, O. (2022). Automatic assessment of student rhythmic pattern imitation performances. Digital Signal Processing, 103880.
Köktürk-Güzel, B. E., & Beyhan, S. (2021). Symbolic Regression Based Extreme Learning Machine Models for System Identification. Neural Processing Letters, 53(2), 1565–1578.
Köktürk Güzel, B. E., & Karaçalı, B. Identification and visualization of cell subgroups in uncompensated flow cytometry data. Chemometrics and Intelligent Laboratory Systems.
Köktürk, B. E., & Karaçalı, B. (2016). Annealing-based model-free expectation maximisation for multi-colour flow cytometry data clustering. International Journal of Data Mining and Bioinformatics, 14(1), 86–99.
Köktürk-Güzel, B. E., & Ünay, D. Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms. Natural and Applied Sciences Journal, 4(2), 1–15.
Köktürk-Güzel, B. E., Mocan, B., Arslan, B., Polat, G., & Kavuşan, T. (2021). Demographic Targeting With Epsilon-greedy Exploration in Digital Advertising. UBMK 2021 (pp. 435–439).
Bakanoğlu, K., Uçkaç, Ö. D., Özkan, I., & Köktürk Güzel, B. E. Detection of Atrial Fibrillation from Commercial Smartwatches Data: A Survey. IDES 2019 (pp. 466–470).
Köktürk Güzel, B. E., Güzel, B., & Ünlü, M. Z. Comparison of Medical Image Reconstruction Algorithms: Positron Emission Mammography. IDES 2019 (pp. 66–73).
Güzel, B. E., & Karaçalı, B. Fisher's Linear Discriminant Analysis Based Prediction Using Transient Features of Seismic Events. FedCSIS 2016 (pp. 231–234). IEEE.
Köktürk, B. E., & Karaçalı, B. Model-free Expectation Maximization for Divisive Hierarchical Clustering. IEEE BIBM 2014 (pp. 267–272).