| Model and principles for the implementation of neural-like structures based on geometric data transformations R Tkachenko, I Izonin International Conference on Computer Science, Engineering and Education …, 2018 | 99 | 2018 |
| An approach towards increasing prediction accuracy for the recovery of missing IoT data based on the GRNN-SGTM ensemble R Tkachenko, I Izonin, N Kryvinska, I Dronyuk, K Zub Sensors 20 (9), 2625, 2020 | 73 | 2020 |
| Multiple linear regression based on coefficients identification using non-iterative SGTM neural-like structure I Izonin, R Tkachenko, N Kryvinska, P Tkachenko International Work-Conference on Artificial Neural Networks, 467-479, 2019 | 56 | 2019 |
| Image Superresolution via Divergence Matrix and Automatic Detection of Crossover D Peleshko, T Rak, I Izonin International Journal of Intelligent Systems and Applications 8 (12), 1, 2016 | 54 | 2016 |
| Learning-based image scaling using neural-like structure of geometric transformation paradigm R Tkachenko, P Tkachenko, I Izonin, Y Tsymbal Advances in soft computing and machine learning in image processing, 537-565, 2018 | 51 | 2018 |
| Development of the non-iterative supervised learning predictor based on the ito decomposition and SGTM neural-like structure for managing medical insurance costs R Tkachenko, I Izonin, P Vitynskyi, N Lotoshynska, O Pavlyuk Data 3 (4), 46, 2018 | 49 | 2018 |
| The combined use of the wiener polynomial and SVM for material classification task in medical implants production I Izonin, A Trostianchyn, Z Duriagina, R Tkachenko, T Tepla, ... International Journal of Intelligent Systems and Applications 10 (9), 40-47, 2018 | 47 | 2018 |
| Single-frame image super-resolution based on singular square matrix operator Y Rashkevych, D Peleshko, O Vynokurova, I Izonin, N Lotoshynska 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering …, 2017 | 44 | 2017 |
| An approach towards missing data management using improved GRNN-SGTM ensemble method I Izonin, R Tkachenko, V Verhun, K Zub Engineering Science and Technology, an International Journal 24 (3), 749-759, 2021 | 40 | 2021 |
| Missing data imputation through SGTM neural-like structure for environmental monitoring tasks O Mishchuk, R Tkachenko, I Izonin International Conference on Computer Science, Engineering and Education …, 2019 | 29 | 2019 |
| Predictive modeling based on small data in clinical medicine: RBF-based additive input-doubling method I Izonin, R Tkachenko, I Dronyuk, P Tkachenko, M Gregus, M Rashkevych Mathematical Biosciences and Engineering 18 (3), 2599-2613, 2021 | 28 | 2021 |
| Hybridization of the SGTM neural-like structure through inputs polynomial extension P Vitynskyi, R Tkachenko, I Izonin, H Kutucu 2018 IEEE Second International Conference on Data Stream Mining & Processing …, 2018 | 28 | 2018 |
| Adaptive wavelet diagnostic neuro-fuzzy system for biomedical tasks Y Bodyanskiy, I Perova, O Vynokurova, I Izonin Proc. of 14th International Conference on Advanced Trends in …, 2018 | 28* | 2018 |
| Design and implementation of visitors queue density analysis and registration method for retail videosurveillance purposes D Peleshko, Y Ivanov, B Sharov, I Izonin, Y Borzov 2016 IEEE First International Conference on Data Stream Mining & Processing …, 2016 | 28 | 2016 |
| An approach towards missing data recovery within IoT smart system I Izonin, N Kryvinska, R Tkachenko, K Zub Procedia Computer Science 155, 11-18, 2019 | 27 | 2019 |
| Imbalance data classification via neural-like structures of geometric transformations model: Local and global approaches R Tkachenko, A Doroshenko, I Izonin, Y Tsymbal, B Havrysh International conference on computer science, engineering and education …, 2018 | 27 | 2018 |
| Recovery of incomplete IoT sensed data using high-performance extended-input neural-like structure I Izonin, R Tkachenko, N Kryvinska, K Zub, O Mishchuk, T Lisovych Procedia Computer Science 160, 521-526, 2019 | 25 | 2019 |
| Learning-based image super-resolution using weight coefficients of synaptic connections I Izonin, R Tkachenko, D Peleshko, T Rak, D Batyuk 2015 Xth International Scientific and Technical Conference" Computer …, 2015 | 24 | 2015 |
| Adaptive moving object segmentation algorithms in cluttered environments Y Ivanov, D Peleshko, O Makoveychuk, I Izonin, I Malets, N Lotoshunska, ... The experience of designing and application of CAD systems in …, 2015 | 24 | 2015 |
| Piecewise-linear Approach for Medical Insurance Costs Prediction using SGTM Neural-Like Structure R Tkachenko, I Izonin, N Kryvinska, V Chopyak, N Lotoshynska, ... CEUR-WS, 170-179, 2018 | 20 | 2018 |
Roman TkachenkoDr.Sc, Prof., Lviv Polytechnic National UniversityZweryfikowany adres z lpnu.ua
