| Errors and uncertainties in a gridded carbon dioxide emissions inventory T Oda, R Bun, V Kinakh, P Topylko, M Halushchak, G Marland, T Lauvaux, ... Mitigation and Adaptation Strategies for Global Change 24, 1007-1050, 2019 | 99 | 2019 |
| Development of a high-resolution spatial inventory of greenhouse gas emissions for Poland from stationary and mobile sources R Bun, Z Nahorski, J Horabik-Pyzel, O Danylo, L See, N Charkovska, ... Mitigation and Adaptation Strategies for Global Change 24, 853-880, 2019 | 41 | 2019 |
| ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets V Kinakh, O Taran, S Voloshynovskiy Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 15 | 2021 |
| Evaluation metrics for galaxy image generators S Hackstein, V Kinakh, C Bailer, M Melchior Astronomy and Computing 42, 100685, 2023 | 8 | 2023 |
| Privacy-preserving image template sharing using contrastive learning S Rezaeifar, S Voloshynovskiy, M Asgari Jirhandeh, V Kinakh Entropy 24 (5), 643, 2022 | 6 | 2022 |
| Turbo-Sim: A generalised generative model with a physical latent space G Quétant, M Drozdova, V Kinakh, T Golling, S Voloshynovskiy arXiv preprint arXiv:2112.10629, 2021 | 5 | 2021 |
| Geoinformation Technology for Analysis and Visualisation of High Spatial Resolution Greenhouse Gas Emissions Data Using a Cloud Platform OD V Kinakh, R Bun Advances in Intelligent Systems and Computing, 217-229, 2018 | 4 | 2018 |
| TURBO: The Swiss Knife of Auto-Encoders G Quétant, Y Belousov, V Kinakh, S Voloshynovskiy Entropy 25 (10), 1471, 2023 | 3 | 2023 |
| Radio-astronomical image reconstruction with a conditional denoising diffusion model M Drozdova, V Kinakh, O Bait, O Taran, E Lastufka, ... Astronomy & Astrophysics 683, A105, 2024 | 2 | 2024 |
| Hubble Meets Webb: Image-to-Image Translation in Astronomy V Kinakh, Y Belousov, G Quétant, M Drozdova, T Holotyak, D Schaerer, ... Sensors 24 (4), 1151, 2024 | 2 | 2024 |
| Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN V Kinakh, M Drozdova, G Quétant, T Golling, S Voloshynovskiy arXiv preprint arXiv:2112.09653, 2021 | 2 | 2021 |
| Geoinformation technology of analysis and vizualization of spatial data on greenhouse gas emissions using Google Earth Engine V Kinakh, R Bun, O Danylo 2017 12th International Scientific and Technical Conference on Computer …, 2017 | 2 | 2017 |
| MV–MR: Multi-Views and Multi-Representations for Self-Supervised Learning and Knowledge Distillation V Kinakh, M Drozdova, S Voloshynovskiy Entropy 26 (6), 466, 2024 | 1 | 2024 |
| Mitigating geolocation errors in nighttime light satellite data and global CO2 emission gridded data ON V. Kinakh, T. Oda, R. Bun Mathematical Modeling and Computing 8, 304-316, 2021 | 1 | 2021 |
| Formulating a Geolocation Bias Correction for DMSP Nighttime Lights of Global Cities V Kinakh, R Oda, Tomohiro, Bun Advances in Intelligent Systems and Computing 1293, 383-398, 2021 | 1 | 2021 |
| Algorithms for analysis of geolocation error of nightlight satellite data and greenhouse gas data calculated on their basis V Kinakh, R Oda, Tomohiro, Bun 15th International Scientific and Technical Conference on Computer Science …, 2020 | 1 | 2020 |
| Evaluation of Security of ML-based Watermarking: Copy and Removal Attacks V Kinakh, B Pulfer, Y Belousov, P Fernandez, T Furon, S Voloshynovskiy arXiv preprint arXiv:2409.18211, 2024 | | 2024 |
| Tabular Data Generation using Binary Diffusion V Kinakh, S Voloshynovskiy arXiv preprint arXiv:2409.13882, 2024 | | 2024 |
| Vision foundation models: can they be applied to astrophysics data? E Lastufka, M Drozdova, V Kinakh, S Voloshynovskyy arXiv preprint arXiv:2409.11175, 2024 | | 2024 |
| Self-Supervised Learning on MeerKAT Wide-Field Continuum Images E Lastufka, O Bait, O Taran, M Drozdova, V Kinakh, D Piras, M Audard, ... arXiv preprint arXiv:2408.06147, 2024 | | 2024 |
Rostyslav Bunprofessor, Lviv Polytechnic National University (Ukraine); WSB University, Dąbrowa Górnicza (Poland)Verified email at lpnu.ua
