Parkinson hastalıkları verilerinin makine öğrenmesi yöntemleriyle araştırılması (Analyzing Parkinson diseases data by machine learning methods) - Fatih Aydin (2017)

The Construction of a Majority-Voting Ensemble Based on the Interrelation and Amount of Information of Features. - Fatih Aydin; Zafer Aslan (Comput. J., 2020)

A class-driven approach to dimension embedding. - Fatih Aydin (Expert Syst. Appl., 2022)

Detection of P300 Signals Obtained By Using Auditory Paradigm Consisting Musical Notes. - Fatih Aydin; Önder Ydemir; Onur Erdem Korkmaz (SIU, 2023)

Unsupervised instance selection via conjectural hyperrectangles. - Fatih Aydin (Neural Comput. Appl., 2023)

Boundary-aware local Density-based outlier detection. - Fatih Aydin (Inf. Sci., 2023)

High Accuracy Detection of S and T Peaks in ECG Signals. - Fatih Aydin; Sefer Usta; Mehmet Öztürk; Özge Aydogdu; Ezgi KalaycioGLu; Önder Aydemir (SIU, 2024)

The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence. - Feridun Kaya; Fatih Aydin; Astrid Schepman; Paul Rodway; Okan Yetisensoy; Meva Demir Kaya (Int. J. Hum. Comput. Interact., 2024)