Using Threshold Techniques with K-Means for MRI Segmentation. - Jale Bektas; Turgay Ibrikci (IPCV, 2009)

Hybrid classification procedure using SVM with LR on two distinctive datasets. - Jale Bektas; Turgay Ibrikci (ICSCA, 2017)

Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression. - Jale Bektas; Turgay Ibrikci; I. Türkay Özcan (Int. J. Artif. Intell. Tools, 2017)

Use of data mining techniques to determine presence of coronary artery disease and deriving a risk score by employing risk factors (Veri madenciliği tekniklerinin kullanılarak koroner arter hastalığının varlığının belirlenmesi ve risk faktörlerinin kullanılmasıyla bir risk skor sisteminin oluşturulması) - Jale Bektas (2017)

Integrating a novel SRCRN network for segmentation with representative batch-mode experiments for detecting melanoma. - Jale Bektas; Yasin Bektas; Evrim Ersin Kangal (Biomed. Signal Process. Control., 2022)

A unified workflow strategy for analysing large-scale TripAdvisor reviews with BOW model. - Jale Bektas; Arwa Elsadig (Int. J. Bus. Intell. Data Min., 2022)

Optimisations of four imputation frameworks for performance exploring based on decision tree algorithms in big data analysis problems. - Jale Bektas; Turgay Ibrikci (Int. J. Comput. Sci. Eng., 2022)

EKSL: An effective novel dynamic ensemble model for unbalanced datasets based on LR and SVM hyperplane-distances. - Jale Bektas (Inf. Sci., 2022)