| Image classification with deep learning in the presence of noisy labels: A survey G Algan, I Ulusoy Knowledge-Based Systems 215, 106771, 2021 | 387 | 2021 |
| The 2005 pascal visual object classes challenge M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ... Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual …, 2006 | 373 | 2006 |
| Generative versus discriminative methods for object recognition I Ulusoy, CM Bishop 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 255 | 2005 |
| Railway fastener inspection by real-time machine vision Ç Aytekin, Y Rezaeitabar, S Dogru, I Ulusoy IEEE Transactions on Systems, Man, and Cybernetics: Systems 45 (7), 1101-1107, 2015 | 170 | 2015 |
| Label noise types and their effects on deep learning G Algan, I Ulusoy arXiv preprint arXiv:2003.10471, 2020 | 83 | 2020 |
| Unsupervised building detection in complex urban environments from multispectral satellite imagery Ö Aytekın, A Erener, İ Ulusoy, Ş Düzgün International Journal of Remote Sensing 33 (7), 2152-2177, 2012 | 65 | 2012 |
| Meta soft label generation for noisy labels G Algan, I Ulusoy 2020 25th International Conference on Pattern Recognition (ICPR), 7142-7148, 2021 | 50 | 2021 |
| Comparison of generative and discriminative techniques for object detection and classification I Ulusoy, CM Bishop Toward Category-Level Object Recognition, 173-195, 2006 | 50 | 2006 |
| New method for the fusion of complementary information from infrared and visual images for object detection I Ulusoy, H Yuruk IET Image Processing 5 (1), 36-48, 2011 | 49 | 2011 |
| 3D object representation using transform and scale invariant 3D features E Akagunduz, I Ulusoy 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 43 | 2007 |
| Hyperspectral image classification via basic thresholding classifier MA Toksöz, I Ulusoy IEEE Transactions on Geoscience and Remote Sensing 54 (7), 4039-4051, 2016 | 39 | 2016 |
| Automatic and unsupervised building extraction in complex urban environments from multi spectral satellite imagery O Aytekin, I Ulusoy, A Erener, HSB Duzgun 2009 4th international conference on recent advances in space technologies …, 2009 | 37 | 2009 |
| User comfort and energy efficiency in HVAC systems by Q-learning S Baghaee, I Ulusoy 2018 26th signal processing and communications applications conference (SIU …, 2018 | 33 | 2018 |
| Local primitive pattern for the classification of SAR images Ö Aytekin, M Koc, I Ulusoy IEEE transactions on geoscience and remote sensing 51 (4), 2431-2441, 2012 | 27 | 2012 |
| Performance evaluation of building detection and digital surface model extraction algorithms: Outcomes of the PRRS 2008 algorithm performance contest S Aksoy, B Ozdemir, S Eckert, F Kayitakire, M Pesarasi, O Aytekin, ... 2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008), 1-12, 2008 | 24 | 2008 |
| Airport runway detection in satellite images by Adaboost learning U Zongur, U Halici, O Aytekin, I Ulusoy Image and Signal Processing for Remote Sensing XV 7477, 54-65, 2009 | 23 | 2009 |
| Hyperspectral image classification via kernel basic thresholding classifier MA Toksöz, I Ulusoy IEEE Transactions on Geoscience and Remote Sensing 55 (2), 715-728, 2016 | 22 | 2016 |
| Object recognition via local patch labelling CM Bishop, I Ulusoy International Workshop on Deterministic and Statistical Methods in Machine …, 2004 | 21 | 2004 |
| 3D face recognition performance under adversarial conditions A Savran, O Celiktutan, A Akyol, J Trojanová, H Dibeklioglu, S Esenlik, ... TELE, Universite catholique de Louvain, 2007 | 20 | 2007 |
| Metalabelnet: Learning to generate soft-labels from noisy-labels G Algan, I Ulusoy IEEE Transactions on Image Processing 31, 4352-4362, 2022 | 19 | 2022 |
