Data classification using sparse coding based active learning. - Göksu Tüysüzoglu; Yusuf Yaslan (SIU, 2016)

Biomedical data classification using supervised classifiers and ensemble based dictionaries. - Göksu Tüysüzoglu; Yusuf Yaslan (SIU, 2017)

Sparse coding based classifier ensembles in supervised and active learning scenarios for data classification. - Göksu Tüysüzoglu; Yusuf Yaslan (Expert Syst. Appl., 2018)

Enhanced Bagging (eBagging): A Novel Approach for Ensemble Learning. - Göksu Tüysüzoglu; Derya Birant (Int. Arab J. Inf. Technol., 2020)

Data mining and machine learning in environmental informatics (Çevresel enformatikte veri madenciliği ve makine öğrenmesi) - Göksu Tüysüzoglu (2021)

Multi-view multi-depth soil temperature prediction (MV-MD-STP): a new approach using machine learning and time series methods. - Göksu Tüysüzoglu; Derya Birant; Volkan Kiranoglu (Int. J. Intell. Eng. Informatics, 2022)

Temporal bagging: a new method for time-based ensemble learning. - Göksu Tüysüzoglu; Derya Birant; Volkan Kiranoglu (Turkish J. Electr. Eng. Comput. Sci., 2022)

Predicting glioma grades: integrating clinical and molecular data with machine learning and explainable AI. - Göksu Tüysüzoglu; Özge Kart Tokmak (Int. J. Intell. Eng. Informatics, 2024)

Joint Tomek Links (JTL): An Innovative Approach to Noise Reduction for Enhanced Classification Performance. - Göksu Tüysüzoglu; Yunus Dogan; Elife Öztürk Kiyak; Mustafa Ersahin; Bita Ghasemkhani; Kökten Ulas Birant; Derya Birant (IEEE Access, 2025)