| Digital computation of linear canonical transforms A Koc, HM Ozaktas, C Candan, MA Kutay IEEE Transactions on Signal Processing 56 (6), 2383-2394, 2008 | 167 | 2008 |
| Semantic structure and interpretability of word embeddings LK Şenel, I Utlu, V Yücesoy, A Koc, T Cukur IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (10 …, 2018 | 79 | 2018 |
| Efficient computation of quadratic-phase integrals in optics HM Ozaktas, A Koç, I Sari, MA Kutay Optics letters 31 (1), 35-37, 2006 | 62 | 2006 |
| Marvel: A large-scale image dataset for maritime vessels E Gundogdu, B Solmaz, V Yücesoy, A Koc Asian conference on computer vision, 165-180, 2016 | 60 | 2016 |
| Fast and accurate computation of two-dimensional non-separable quadratic-phase integrals A Koç, HM Ozaktas, L Hesselink JOSA A 27 (6), 1288-1302, 2010 | 53 | 2010 |
| Deep Iterative Reconstruction for Phase Retrieval Ç Işıl, FS Oktem, A Koç Applied optics 58 (20), 5422-5431, 2019 | 28 | 2019 |
| Evaluation of feature channels for correlation-filter-based visual object tracking in infrared spectrum E Gundogdu, A Koc, B Solmaz, RI Hammoud, A Aydin Alatan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 26 | 2016 |
| Sparse representation of two-and three-dimensional images with fractional Fourier, Hartley, linear canonical, and Haar wavelet transforms A Koç, B Bartan, E Gundogdu, T Çukur, HM Ozaktas Expert Systems with Applications 77, 247-255, 2017 | 23 | 2017 |
| Statistically segregated k-space sampling for accelerating multiple-acquisition MRI LK Senel, T Kilic, A Gungor, E Kopanoglu, HE Guven, EU Saritas, A Koc, ... IEEE transactions on medical imaging 38 (7), 1701-1714, 2019 | 22 | 2019 |
| Fast and accurate algorithm for the computation of complex linear canonical transforms A Koç, HM Ozaktas, L Hesselink JOSA A 27 (9), 1896-1908, 2010 | 21 | 2010 |
| Imparting interpretability to word embeddings while preserving semantic structure LK Şenel, İ Utlu, F Şahinuç, HM Ozaktas, A Koç Natural Language Engineering 27 (6), 721-746, 2021 | 17* | 2021 |
| Discrete linear canonical transform based on hyperdifferential operators A Koç, B Bartan, HM Ozaktas IEEE Transactions on Signal Processing 67 (9), 2237-2248, 2019 | 14 | 2019 |
| Generic and attribute-specific deep representations for maritime vessels B Solmaz, E Gundogdu, V Yucesoy, A Koc IPSJ Transactions on Computer Vision and Applications 9 (1), 1-18, 2017 | 14 | 2017 |
| Object classification in infrared images using deep representations E Gundogdu, A Koc, AA Alatan 2016 IEEE International Conference on Image Processing (ICIP), 1066-1070, 2016 | 13 | 2016 |
| Fine-grained recognition of maritime vessels and land vehicles by deep feature embedding B Solmaz, E Gundogdu, V Yucesoy, A Koç, AA Alatan IET Computer Vision 12 (8), 1121-1132, 2018 | 11 | 2018 |
| Measuring cross-lingual semantic similarity across European languages LK Şenel, V Yücesoy, A Koç, T Çukur 2017 40th International Conference on Telecommunications and Signal …, 2017 | 11 | 2017 |
| Resolution enhancement of wide-field interferometric microscopy by coupled deep autoencoders Ç Işil, M Yorulmaz, B Solmaz, AB Turhan, C Yurdakul, S Ünlü, E Ozbay, ... Applied optics 57 (10), 2545-2552, 2018 | 9 | 2018 |
| Generating semantic similarity atlas for natural languages LK Şenel, İ Utlu, V Yücesoy, A Koç, T Çukur 2018 IEEE Spoken Language Technology Workshop (SLT), 795-799, 2018 | 8 | 2018 |
| Deep distance metric learning for maritime vessel identification E Gundogdu, B Solmaz, A Koç, V Yücesoy, AA Alatan 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 8 | 2017 |
| Fast algorithms for digital computation of linear canonical transforms A Koç, FS Oktem, HM Ozaktas, MA Kutay Linear Canonical Transforms, 293-327, 2016 | 8 | 2016 |
Erhan GundogduAmazonVerified email at amazon.com
