Permission-based malware detection system for android using machine learning techniques RS Arslan, İA Doğru, N Barişçi International journal of software engineering and knowledge engineering 29 …, 2019 | 67 | 2019 |
AndroAnalyzer: android malicious software detection based on deep learning RS Arslan PeerJ Computer Science 7, e533, 2021 | 26 | 2021 |
A detailed survey of Turkish automatic speech recognition RS Arslan, N BARIŞÇI Turkish journal of electrical engineering and computer sciences 28 (6), 3253 …, 2020 | 25 | 2020 |
Development of Output Correction Methodology for Long Short Term Memory-Based Speech Recognition RS Arslan, N Barışçı Sustainability 11 (15), 4250-4266, 2019 | 25 | 2019 |
AMD‐CNN: Android malware detection via feature graph and convolutional neural networks RS Arslan, M Tasyurek Concurrency and Computation: Practice and Experience 34 (23), e7180, 2022 | 21 | 2022 |
KNEAREST NEIGHBOUR CLASSIFIER USAGE FOR PERMISSION BASED MALWARE DETECTION IN ANDROID. ICONTECH INTERNATIONAL JOURNAL RS Arslan, AH Yurttakal ICONTECH INTERNATIONAL JOURNAL 4, 15-27, 2020 | 18 | 2020 |
Automated sleep scoring system using multi-channel data and machine learning RS Arslan, H Ulutaş, AS Köksal, M Bakır, B Çiftçi Computers in Biology and Medicine 146, 105653, 2022 | 16 | 2022 |
Brain tumor classification using deep neural network G Çınarer, BG Emiroğlu, RS Arslan, AH Yurttakal Advances in Science, Technology and Engineering Systems 5 (5), 765-769, 2020 | 15 | 2020 |
Permisson Comparison Based Malware Detection System for Android Mobile Applications R Arslan, İ DOĞRU, N BARIŞÇI JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI 20 (1), 2017 | 14* | 2017 |
Identify type of android malware with machine learning based ensemble model RS Arslan 2021 5th international symposium on multidisciplinary studies and innovative …, 2021 | 13 | 2021 |
RT-Droid: a novel approach for real-time android application analysis with transfer learning-based CNN models M Tasyurek, RS Arslan Journal of Real-Time Image Processing 20 (3), 55, 2023 | 11 | 2023 |
FastTrafficAnalyzer: An Efficient Method for Intrusion Detection Systems to Analyze Network Traffic RS ARSLAN Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 12 (4), 565-572, 2021 | 9 | 2021 |
A new classification method for encrypted internet traffic using machine learning M Uğurlu, İA Doğru, RS Arslan Turkish Journal of Electrical Engineering and Computer Sciences 29 (5), 2450 …, 2021 | 9 | 2021 |
Sensitive deep learning application on sleep stage scoring by using all PSG data RS Arslan, H Ulutas, AS Köksal, M Bakir, B Çiftçi Neural Computing and Applications 35 (10), 7495-7508, 2023 | 8 | 2023 |
The effect of different optimization techniques on end-to-end Turkish speech recognition systems that use connectionist temporal classification RS Arslan, N Barişçi 2018 2nd International Symposium on Multidisciplinary Studies and Innovative …, 2018 | 8 | 2018 |
End-to end decision support system for sleep apnea detection and Apnea-Hypopnea Index calculation using hybrid feature vector and Machine learning RS Arslan, H Ulutas, AS Köksal, M Bakir, B Çiftçi Biocybernetics and Biomedical Engineering 43 (4), 684-699, 2023 | 7 | 2023 |
Speech-to-gender recognition based on machine learning algorithms S Hızlısoy, E Çolakoğlu, RS Arslan International Journal of Applied Mathematics Electronics and Computers 10 (4 …, 2022 | 7 | 2022 |
Text independent speaker recognition based on MFCC and machine learning S Hızlısoy, RS Arslan Selcuk University Journal of Engineering Sciences 20 (2), 073-078, 2021 | 7 | 2021 |
Tree-based machine learning techniques for automated human sleep stage classification R ARSLAN, H ULUTAŞ, A KÖKSAL, M BAKIR, B Çiftçi Traitement du Signal 40 (4), 2023 | 6 | 2023 |
Kötücül Web Sayfalarının Tespitinde Doc2Vec Modeli ve Makine Öğrenmesi Yaklaşımı RS ARSLAN Avrupa Bilim ve Teknoloji Dergisi, 792-801, 2021 | 6 | 2021 |