Hierarchical recurrent neural network for handwritten strokes classification I Degtyarenko, I Deriuga, A Grygoriev, S Polotskyi, V Melnyk, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 17 | 2021 |
HCRNN: a novel architecture for fast online handwritten stroke classification A Grygoriev, I Degtyarenko, I Deriuga, S Polotskyi, V Melnyk, ... International Conference on Document Analysis and Recognition, 193-208, 2021 | 5 | 2021 |
Improving online handwriting text/non-text classification accuracy under condition of stroke context absence S Polotskyi, I Deriuga, T Ignatova, V Melnyk, H Azarov Advances in Computational Intelligence: 15th International Work-Conference …, 2019 | 4 | 2019 |
Tail behavior of suprema of perturbed random walks A Iksanov, S Polotskiy Theory of Stochastic Processes 21 (37), 12-16, 2016 | 4 | 2016 |
Spatio-temporal clustering for grouping in online handwriting document layout analysis with GRU-RNN S Polotskyi, O Radyvonenko, I Degtyarenko, I Deriuga 2020 17th International Conference on Frontiers in Handwriting Recognition …, 2020 | 3 | 2020 |
Extreme residuals in regression model. Minimax approach A Ivanov, I Matsak, S Polotskiy Modern stochastics: theory and applications 2 (3), 297-308, 2015 | 3 | 2015 |
Method and device for displaying handwriting-based entry O Zubarieva, T Ignatova, I Deriuga, O Radyvonenko, S Polotskyi, ... US Patent 11,087,156, 2021 | | 2021 |