Ballı, Tuğçe and E. Fatih Yetkin, "Improving Motor Imagery based BCI through Metric Learning", under review, 2024.

Ballı, Tuğçe, Saygın Kaçar, and E. Fatih Yetkin, "Adaptive Segmentation of vibration data via change point detection algorithms for machinery fault classification", under review, 2024. 

Tülay, Emine Elif, and Tugçe Balli. "Decoding Functional Brain Data for Emotion Recognition: A Machine Learning Approach." ACM Transactions on Applied Perception 21.3 (2024): 1-18.

Ballı, Tuğçe, et al. "Detection of emotion in major depressive disorder via machine learning approaches based on ERP." Anatomy: International Journal of Experimental & Clinical Anatomy 17 (2023).

Bulut, Cem, Tuğçe Ballı, and E. Fatih Yetkin. "Filtre modelli öznitelik seçim algoritmalarının EEG tabanlı beyin bilgisayar arayüzü sistemindeki karşılaştırmalı sınıflandırma performansları." Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 38.4 (2023): 2397-2408.

Hindistan, Yavuz Selim, and E. Fatih Yetkin. "A hybrid approach with GAN and DP for privacy preservation of IIOT data." IEEE Access 11 (2023): 5837-5849.

Yıldız,  Şeyma, Ballı, Tuğçe, and Yetkin E. Fatih, "Detection of Change Points in a Non-Stationary Time Series via the Fiedler Vectors of the Graph Laplacian", SIAM Applied Linear Algebra, Paris, France, 2024.

Özçoban, Kadir, Manguoğlu, Murat and Yetkin, E. Fatih "Investigation of the Effects of Initial Guess and Subspace Iteration Acceleration on Feast Solver", SIAM Applied Linear Algebra, Paris, France, 2024.

Güler, Aykut, Ballı, Tuğçe, and Yetkin E. Fatih, "On Symbolic Prediction of Time Series for Predictive Maintenance Based on SAX-LSTM", UBMK, The Best Paper Award, Antalya, Turkey, 2024. 

Kaçar, Saygın, Ballı, Tuğçe, Yetkin, E. Fatih, "Automatic Segmentation of Time Series Data with PELT Algorithm for Predictive Maintenance in the Flat Steel Industry", UBMK, Antalya, Turkey, 2024.