| Integrating features for accelerometer-based activity recognition ÇB Erdaş, I Atasoy, K Açıcı, H Oğul Procedia Computer Science 98, 522-527, 2016 | 94 | 2016 |
| Parkinson's disease monitoring from gait analysis via foot-worn sensors T Aşuroğlu, K Açıcı, ÇB Erdaş, MK Toprak, H Erdem, H Oğul Biocybernetics and Biomedical Engineering 38 (3), 760-772, 2018 | 56 | 2018 |
| A random forest method to detect Parkinson’s disease via gait analysis K Açıcı, ÇB Erdaş, T Aşuroğlu, MK Toprak, H Erdem, H Oğul Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 50 | 2017 |
| Femoral neck fracture detection in X-ray images using deep learning and genetic algorithm approaches S Beyaz, K Açıcı, E Sümer Joint diseases and related surgery 31 (2), 175, 2020 | 38 | 2020 |
| HANDY: A benchmark dataset for context-awareness via wrist-worn motion sensors K Açıcı, ÇB Erdaş, T Aşuroğlu, H Oğul Data 3 (3), 24, 2018 | 16 | 2018 |
| Comparison of different machine learning approaches to detect femoral neck fractures in x-ray images K Açıcı, E Sümer, S Beyaz Health and Technology 11 (3), 643-653, 2021 | 14 | 2021 |
| T4SS effector protein prediction with deep learning K Açıcı, T Aşuroğlu, ÇB Erdaş, H Oğul Data 4 (1), 45, 2019 | 10 | 2019 |
| Retrieving relevant experiments: The case of microRNA microarrays K Açıcı, YK Terzi, H Oğul Biosystems 134, 71-78, 2015 | 10 | 2015 |
| Deep-Learning-Based Approaches for Semantic Segmentation of Natural Scene Images: A Review B Emek Soylu, MS Guzel, GE Bostanci, F Ekinci, T Asuroglu, K Acici Electronics 12 (12), 2730, 2023 | 8 | 2023 |
| Texture of activities: exploiting local binary patterns for accelerometer data analysis T Aşuroğlu, K Açici, ÇB Erdaş, H Oğul 2016 12th International Conference on Signal-Image Technology & Internet …, 2016 | 6 | 2016 |
| Deep learning in diagnosis of dental anomalies and diseases: A systematic review E Sivari, GB Senirkentli, E Bostanci, MS Guzel, K Acici, T Asuroglu Diagnostics 13 (15), 2512, 2023 | 4 | 2023 |
| Machine learning analysis of RNA-seq data for diagnostic and prognostic prediction of colon cancer E Bostanci, E Kocak, M Unal, MS Guzel, K Acici, T Asuroglu Sensors 23 (6), 3080, 2023 | 3 | 2023 |
| A New Approach for Gastrointestinal Tract Findings Detection and Classification: Deep Learning-Based Hybrid Stacking Ensemble Models E Sivari, E Bostanci, MS Guzel, K Acici, T Asuroglu, T Ercelebi Ayyildiz Diagnostics 13 (4), 720, 2023 | 3 | 2023 |
| Interpretation of Magnetic Resonance Images of Temporomandibular Joint Disorders by Using Deep Learning S Ozsari, FR Yapıcıoğlu, D Yılmaz, K Kamburoglu, MS Guzel, GE Bostanci, ... IEEE Access, 2023 | 2 | 2023 |
| Crohn’s Disease Prediction Using Sequence Based Machine Learning Analysis of Human Microbiome M Unal, E Bostanci, C Ozkul, K Acici, T Asuroglu, MS Guzel Diagnostics 13 (17), 2835, 2023 | 1 | 2023 |
| Multilabel Genre Prediction Using Deep-Learning Frameworks FZ Unal, MS Guzel, E Bostanci, K Acici, T Asuroglu Applied Sciences 13 (15), 8665, 2023 | 1 | 2023 |
| Machine learning based orthodontic treatment planning for mixed dentition borderline cases suffering from moderate to severe crowding: An experimental research study GB Senirkentli, S İnce Bingöl, M Ünal, E Bostanci, MS Güzel, K Açici Technology and Health Care, 1-13, 2023 | 1 | 2023 |
| Information retrieval in metal music sub-genres K Açıcı, T Aşuroğlu, H Oğul 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 1 | 2017 |
| Comparison of similarity metrics in microarray experiment retrieval K Açıcı, H Oğul 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015 | 1 | 2015 |
| Sensitive prediction of bacterial type IV effectors K Açıcı, DD Şener, H Oğul 2014 18th National Biomedical Engineering Meeting, 1-5, 2014 | 1 | 2014 |
Hasan OGULØstfold University CollegeVerified email at hiof.no
