Derin öğrenmeye dayalı bir imza doğrulama yönteminin geliştirilmesi (Development of a signature verification method based on deep learning) - Muhammed Mutlu Yapici (2020)

Deep learning-based data augmentation method and signature verification system for offline handwritten signature. - Muhammed Mutlu Yapici; Adem Tekerek; Nurettin Topaloglu (Pattern Anal. Appl., 2021)

A novel malware classification and augmentation model based on convolutional neural network. - Adem Tekerek; Muhammed Mutlu Yapici (Comput. Secur., 2022)

Evaluation of 2D and 3D Deep Learning Approaches For Predicting Visual Acuity Following Surgery for Idiopathic Full-Thickness Macular Holes In Spectral Domain Optical Coherence Tomography Images. - Burak Kucukgoz; Muhammed Mutlu Yapici; David H. Steel; Boguslaw Obara (ISPA, 2023)

A Novel Customer Review Analysis System Based on Balanced Deep Review and Rating Differences in User Preference. - Rand Almahmood; Muhammed Mutlu Yapici; Adem Tekerek (IEEE Access, 2024)

Deep Learning Using Preoperative Optical Coherence Tomography Images to Predict Visual Acuity Following Surgery for Idiopathic Full-Thickness Macular Holes. - Burak Kucukgoz; Muhammed Mutlu Yapici; Declan C. Murphy; Emma Spowart; David H. Steel; Boguslaw Obara (IEEE Access, 2024)

3DMalDroid: A novel 3D image based approach for android malware detection and classification. - Muhammed Mutlu Yapici (Comput. Electr. Eng., 2025)

A novel image based approach for mobile android malware detection and classification. - Muhammed Mutlu Yapici (Knowl. Based Syst., 2025)