Permission-Based Malware Detection System for Android Using Machine Learning Techniques. - Recep Sinan Arslan; Ibrahim Alper Dogru; Necaattin Barisçi (Int. J. Softw. Eng. Knowl. Eng., 2019)

A detailed survey of Turkish automatic speech recognition. - Recep Sinan Arslan; Necaattin Barisçi (Turkish J. Electr. Eng. Comput. Sci., 2020)

Uçtan uca türkçe konuşma tanıma için çıktı düzeltme metodu önerisi ve tekrarlayan sinir ağı tasarımı (Development of output correction methodology for turkish speech recognition and design of a recurrent neural network) - Recep Sinan Arslan (2020)

Detecting and correcting automatic speech recognition errors with a new model. - Recep Sinan Arslan; Necaattin Barisçi; Nursal Arici; Sabri Koçer (Turkish J. Electr. Eng. Comput. Sci., 2021)

A new classification method for encrypted internet traffic using machine learning. - Mesut Ugurlu; Ibrahim Alper Dogru; Recep Sinan Arslan (Turkish J. Electr. Eng. Comput. Sci., 2021)

AndroAnalyzer: android malicious software detection based on deep learning. - Recep Sinan Arslan (PeerJ Comput. Sci., 2021)

Automated sleep scoring system using multi-channel data and machine learning. - Recep Sinan Arslan; Hasan Ulutas; Ahmet Sertol Köksal; Mehmet Bakir; Bülent Çiftçi (Comput. Biol. Medicine, 2022)

AMD-CNN: Android malware detection via feature graph and convolutional neural networks. - Recep Sinan Arslan; Murat Tasyurek (Concurr. Comput. Pract. Exp., 2022)

FG-Droid: Grouping based feature size reduction for Android malware detection. - Recep Sinan Arslan (PeerJ Comput. Sci., 2022)

Sleep disorder and apnea events detection framework with high performance using two-tier learning model design. - Recep Sinan Arslan (PeerJ Comput. Sci., 2023)

Sensitive deep learning application on sleep stage scoring by using all PSG data. - Recep Sinan Arslan; Hasan Ulutas; Ahmet Sertol Köksal; Mehmet Bakir; Bülent Çiftçi (Neural Comput. Appl., 2023)

RT-Droid: a novel approach for real-time android application analysis with transfer learning-based CNN models. - Murat Tasyurek; Recep Sinan Arslan (J. Real Time Image Process., 2023)

Singer identification model using data augmentation and enhanced feature conversion with hybrid feature vector and machine learning. - Serhat Hizlisoy; Recep Sinan Arslan; Emel Çolakoglu (EURASIP J. Audio Speech Music. Process., 2024)

JDroid: Android malware detection using hybrid opcode feature vector. - Recep Sinan Arslan (PeerJ Comput. Sci., 2025)