Deep metric learning: A survey M Kaya, HŞ Bilge Symmetry 11 (9), 1066, 2019 | 584 | 2019 |
Adaptive multi-element synthetic aperture imaging with motion and phase aberration correction M Karaman, HS Bilge, M O'Donnell IEEE transactions on ultrasonics, ferroelectrics, and frequency control 45 …, 1998 | 105 | 1998 |
Content based image retrieval with sparse representations and local feature descriptors: A comparative study C Celik, HS Bilge Pattern Recognition 68, 1-13, 2017 | 85 | 2017 |
Recent trends in deep generative models: a review CG Turhan, HS Bilge 2018 3rd International Conference on Computer Science and Engineering (UBMK …, 2018 | 65 | 2018 |
Removal of speckle noises from ultrasound images using five different deep learning networks O Karaoğlu, HŞ Bilge, I Uluer Engineering Science and Technology, an International Journal 29, 101030, 2022 | 60 | 2022 |
Motion estimation using common spatial frequencies in synthetic aperture imaging HS Bilge, M Karaman, M O'Donnell 1996 IEEE Ultrasonics Symposium. Proceedings 2, 1551-1554, 1996 | 29 | 1996 |
SERS-active hydrophobic substrates fabricated by surface growth of Cu nanostructures M Sakir, E Yilmaz, MS Onses Microchemical Journal 154, 104628, 2020 | 28 | 2020 |
Fast image similarity search by distributed locality sensitive hashing O Durmaz, HS Bilge Pattern Recognition Letters 128, 361-369, 2019 | 25 | 2019 |
Class‐wise two‐dimensional PCA method for face recognition C Guzel Turhan, HS Bilge IET Computer Vision 11 (4), 286-300, 2017 | 25 | 2017 |
Super resolution of B-mode ultrasound images with deep learning H Temiz, HS Bilge IEEE Access 8, 78808-78820, 2020 | 22 | 2020 |
Feature selection with weighted conditional mutual information C Çelik, H BİLGE Journal of the Faculty of Engineering and Architecture of Gazi University 30 (4), 2015 | 21 | 2015 |
TELE PAZARLAMA VERİLERİNİN BİRLİKTELİK KURALLARIYLA VE CRISP-DM YÖNTEMİYLE ANALİZ EDİLMESİ MB Aytaç, HŞ Bilge Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 5 (2), 25-40, 2013 | 18 | 2013 |
MEME KANSERİ SINIFLANDIRMASI İÇİN VERİ FÜZYONU VE GENETİK ALGORİTMA TABANLI GEN SEÇİMİ O Yıldız, HŞ Bilge, MA AKCAYOL Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 27 (3), 659-668, 2012 | 15 | 2012 |
Face recognition with discriminating 3D DCT coefficients G Günlü, HS Bilge The Computer Journal 53 (8), 1324-1337, 2010 | 14 | 2010 |
3D face decomposition and region selection against expression variations G Günlü, HS Bilge 2010 20th International Conference on Pattern Recognition, 1298-1301, 2010 | 14 | 2010 |
Feature extraction and discriminating feature selection for 3D face recognition G Gunlu, HS Bilge 2009 24th International Symposium on Computer and Information Sciences, 44-49, 2009 | 14 | 2009 |
The use of Lorentzian distance metric in classification problems Y Kerimbekov, HŞ Bilge, HH Uğurlu Pattern Recognition Letters 84, 170-176, 2016 | 12 | 2016 |
Breast cancer diagnosis based on naïve Bayes machine learning classifier with KNN missing data imputation C Güzel, M Kaya, O Yıldız, HŞ Bilge AWERProcedia Information Technology & Computer Science 4, 401-407, 2013 | 12* | 2013 |
Web Madenciliği Yöntemleri ile Web Loglarının İstatistiksel Analizi ve Saldırı Tespiti I ÇINAR, HŞ BİLGE Bilişim Teknolojileri Dergisi 9 (2), 125, 2016 | 11 | 2016 |
A new classification method by using Lorentzian distance metric HŞ Bılge, Y Kerimbekov, HH Uğurlu 2015 International Symposium on Innovations in Intelligent SysTems and …, 2015 | 11 | 2015 |