| Revealing a history: palimpsest text separation with generative networks A Starynska, D Messinger, Y Kong International Journal on Document Analysis and Recognition (IJDAR) 24 (3 …, 2021 | 7 | 2021 |
| Methods of data augmentation for palimpsest character recognition with deep neural network A Starynska, RL Easton Jr, D Messinger Proceedings of the 4th International Workshop on Historical Document Imaging …, 2017 | 5 | 2017 |
| Characterizing the temporal dynamics of information in visually guided predictive control using LSTM recurrent neural networks K Binaee, A Starynska, JB Pelz, C Kanan, GJ Diaz arXiv preprint arXiv:1805.05946, 2018 | 1 | 2018 |
| Modeling Hand-Eye Movements in a Virtual Ball Catching Setup using Deep Recurrent Neural Network K Binaee, A Starynska, R Kothari, C Kanan, J Pelz, G Diaz Journal of Vision 17 (10), 17-17, 2017 | 1 | 2017 |
| Filtration of optical signal in machine vision systems based on solid-state image sensor A Starynska, A Terletsky 2014 IEEE 34th International Scientific Conference on Electronics and …, 2014 | 1 | 2014 |
| Text Restoration in Palimpsested Historical Manuscripts Using Deep Learning Methods A Starynska Rochester Institute of Technology, 2023 | | 2023 |
| About modulation transfer function of machine vision system based on CMOS and CCD image sensors AY Starynska, OV Terletsky Електроніка та Зв'язок 19 (5), 48-52, 2014 | | 2014 |
