| A two-step data normalization approach for improving classification accuracy in the medical diagnosis domain I Izonin, R Tkachenko, N Shakhovska, B Ilchyshyn, KK Singh Mathematics 10 (11), 1942, 2022 | 142 | 2022 |
| 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 | 142 | 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 | 121 | 2020 |
| Edldr: An ensemble deep learning technique for detection and classification of diabetic retinopathy SS Mondal, N Mandal, KK Singh, A Singh, I Izonin Diagnostics 13 (1), 124, 2022 | 110 | 2022 |
| Homogeneous adaboost ensemble machine learning algorithms with reduced entropy on balanced data MT Ramakrishna, VK Venkatesan, I Izonin, M Havryliuk, CR Bhat Entropy 25 (2), 245, 2023 | 105 | 2023 |
| 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 | 96 | 2018 |
| 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 | 95 | 2021 |
| 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 | 86 | 2021 |
| Multiple linear regression based on coefficients identification using non-iterative SGTM neural-like structure I Izonin, R Tkachenko, N Kryvinska, P Tkachenko, M Greguš ml International Work-Conference on Artificial Neural Networks, 467-479, 2019 | 83 | 2019 |
| 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 | 81 | 2018 |
| Efficient Data Preprocessing with Ensemble Machine Learning Technique for the Early Detection of Chronic Kidney Disease VK Venkatesan, MT Ramakrishna, I Izonin, R Tkachenko, M Havryliuk Applied Sciences 13 (5), 2885, 2023 | 79 | 2023 |
| 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 | 76 | 2016 |
| A GRNN-based Approach towards Prediction from Small Datasets in Medical Application I Izonin, R Tkachenko, M Gregus ml., K Zub, P Tkachenko Procedia Computer Science 184, 242-249, 2021 | 66 | 2021 |
| 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, 2017 | 64 | 2017 |
| The additive input-doubling method based on the SVR with nonlinear kernels: Small data approach I Izonin, R Tkachenko, N Shakhovska, N Lotoshynska Symmetry 13 (4), 612, 2021 | 62 | 2021 |
| 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 | 52 | 2019 |
| Fast computational approach to the Levenberg-Marquardt algorithm for training feedforward neural networks J Bilski, J Smoląg, B Kowalczyk, K Grzanek, I Izonin Journal of Artificial Intelligence and Soft Computing Research 13, 2023 | 51 | 2023 |
| Energy saving optimization technique-based routing protocol in Mobile ad-hoc network with IOT Environment VK Krishnamoorthy, I Izonin, S Subramanian, SK Shandilya, ... Energies 16 (3), 1385, 2023 | 50 | 2023 |
| 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 | 50 | 2017 |
| 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 | 45 | 2015 |
Roman TkachenkoDr.Sc, Prof., Lviv Polytechnic National UniversityVerified email at lpnu.ua
