| VisDroid: Android malware classification based on local and global image features, bag of visual words and machine learning techniques K Bakour, HM Ünver Neural Computing and Applications 33 (8), 3133-3153, 2021 | 50 | 2021 |
| Android malware detection based on image-based features and machine learning techniques HM Ünver, K Bakour SN Applied Sciences 2 (7), 1299, 2020 | 40 | 2020 |
| DeepVisDroid: android malware detection by hybridizing image-based features with deep learning techniques K Bakour, HM Ünver Neural Computing and Applications 33 (18), 11499-11516, 2021 | 35 | 2021 |
| The Android malware detection systems between hope and reality K Bakour, HM Ünver, R Ghanem SN applied sciences 1, 1-42, 2019 | 25 | 2019 |
| The Android Malware Static Analysis: Techniques, Limitations, and Open Challenges K Bakour, HM Ünver, R Ghanem 2018 3rd International Conference on Computer Science and Engineering (UBMK …, 2018 | 23 | 2018 |
| DroidEncoder: Malware detection using auto-encoder based feature extractor and machine learning algorithms H Bakır, R Bakır Computers and Electrical Engineering 110, 108804, 2023 | 17 | 2023 |
| A deep camouflage: evaluating android’s anti-malware systems robustness against hybridization of obfuscation techniques with injection attacks K Bakour, HM Ünver, R Ghanem Arabian Journal for Science and Engineering 44, 9333-9347, 2019 | 14 | 2019 |
| Contents-based spam detection on social networks using RoBERTa embedding and stacked BLSTM R Ghanem, H Erbay, K Bakour SN Computer Science 4 (4), 380, 2023 | 12 | 2023 |
| An intrusion detection system based on a hybrid Tabu-genetic algorithm K Bakour, GS Daş, HM Ünver 2017 International Conference on Computer Science and Engineering (UBMK …, 2017 | 11 | 2017 |
| Detecting cutout shape and predicting its location in sandwich structures using free vibration analysis and tuned machine-learning algorithms U Demircioğlu, A Sayil, H Bakır Arabian Journal for Science and Engineering 49 (2), 1611-1624, 2024 | 10 | 2024 |
| A comprehensive experimental study for analyzing the effects of data augmentation techniques on voice classification H Bakır, AN Çayır, TS Navruz Multimedia Tools and Applications 83 (6), 17601-17628, 2024 | 9 | 2024 |
| Deep learning-based approach for detection of turbulence-induced distortions in free-space optical communication links H Bakır, K Elmabruk Physica Scripta 98 (6), 065521, 2023 | 9 | 2023 |
| Using Transfer Learning Technique as a Feature Extraction Phase for Diagnosis of Cataract Disease in the Eye H Bakır, Ş Yılmaz International Journal of Sivas University of Science and Technology 1 (1), 17-33, 2022 | 9 | 2022 |
| Deep learning-based prediction of delamination growth in composite structures: Bayesian optimization and hyperparameter refinement U Demircioğlu, H Bakır Physica Scripta 98 (10), 106004, 2023 | 5 | 2023 |
| Detection of pneumonia from x-ray images using deep learning techniques H BAKIR, S OKTAY, E TABARU Journal of Scientific Reports-A, 419-440, 2023 | 5 | 2023 |
| Hyperparameter tunning and feature selection methods for malware detection EK YILMAZ, H BAKIR Politeknik Dergisi, 1-1, 2023 | 3 | 2023 |
| EVALUATING THE ROBUSTNESS OF YOLO OBJECT DETECTION ALGORITHM IN TERMS OF DETECTING OBJECTS IN NOISY ENVIRONMENT H BAKIR, R BAKIR Journal of Scientific Reports-A, 1-25, 2023 | 3 | 2023 |
| Yapay Zeka Destekli Beyin Görüntüleri Üzerinde Tümör Tespiti B Özcan, H Bakır International Conference on Pioneer and Innovative Studies 1, 297-306, 2023 | 3 | 2023 |
| Hiperparemetreleri Ayarlanmış Makine Öğrenmesi Yöntemleri Kullanılarak Ağdaki Saldırıların Tespiti E Doğan, H BAKIR International Conference on Pioneer and Innovative Studies 1, 274-286, 2023 | 3 | 2023 |
| A COMPREHENSIVE EXPERIMENTAL STUDY FOR EVALUATING THE PERFORMANCE OF WELL-KNOWN CNN PRE-TRAINED MODELS IN NOISY ENVIRONMENTS H BAKIR, SB EKER Politeknik Dergisi, 1-1, 2023 | 2 | 2023 |
Rezan BakırAssistant professor at Sivas University of science and technology,TurkeyVerified email at sivas.edu.tr
