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 | 129 | 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 | 101 | 2020 |
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 | 85 | 2018 |
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 | 79 | 2019 |
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 | 76 | 2021 |
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 | 76 | 2018 |
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 | 71 | 2016 |
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 | 68 | 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, 2018 | 60 | 2018 |
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 | 49 | 2022 |
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 | 48 | 2017 |
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 | 46 | 2023 |
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 | 46 | 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 | 44 | 2019 |
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 | 42 | 2019 |
Stacking-based GRNN-SGTM ensemble model for prediction tasks I Izonin, R Tkachenko, P Vitynskyi, K Zub, P Tkachenko, I Dronyuk 2020 International conference on decision aid sciences and application (DASA …, 2020 | 39 | 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 | 36 | 2022 |
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 | 36 | 2021 |
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 Advances in Computer Science for Engineering and Education 13, 112-122, 2019 | 36 | 2019 |
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 | 36 | 2018 |