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Roman Tkachenko
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2020 – today
- 2024
- [j7]Ivan Izonin
, Roman Muzyka
A Method for Reducing Training Time of ML-Based Cascade Scheme for Large-Volume Data Analysis. Sensors 24(15): 4762 (2024) - [c31]Vasyl Teslyuk, Ivan Tsmots, Roman Tkachenko, Pavlo Tkachenko, Vasyl Rabyk, Yurii Opotyak, Oleksandr Oliinyk:
Implementation of Neuro-like Network Defuzzifier for Mobile Platform Motion Control System. COLINS (1) 2024: 215-231 - [c30]Ivan Izonin, Ali Gamra, Oleslav Boychuk, Jelena Ninic, Roman Tkachenko, Stergios Aristoteles Mitoulis:
PCA-NuSVR Framework for Predicting Local and Global Indicators of Tunneling-induced Building Damage. SMARTINDUSTRY 2024: 32-46 - 2023
- [j6]Lesia I. Mochurad
An Obstacle-Finding Approach for Autonomous Mobile Robots Using 2D LiDAR Data. Big Data Cogn. Comput. 7(1): 43 (2023) - [j5]Ivan Izonin
An improved ANN-based global-local approximation for small medical data analysis. EAI Endorsed Trans. Pervasive Health Technol. 9 (2023) - [c29]Ivan Izonin, Roman Tkachenko, Ostap Shcherbii, Oleh Berezsky
An Approximation Cascade Scheme via Rational Fractions for Biomedical Data Analysis. CSIT 2023: 1-4 - [c28]Ivan Tsmots, Roman Tkachenko, Vasyl Teslyuk, Vasyl Rabyk, Yurii Opotyak
Development of a Device on FPGA to Implement the Base Operation of Neural-like Data Encryption Using Polynomials. CSIT 2023: 1-5 - [c27]Ivan Izonin, Yaroslav Tolstyak, Veronika Kachmar, Roman Tkachenko, Mariya Rashkevych, Valentyna Chopyak:
A Hybrid Two-ML-based Classifier to Predict the Survival of Kidney Transplants One Month after Transplantation. IDDM 2023: 322-331 - 2022
- [j4]Ivan Izonin
SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets. Mach. Learn. Knowl. Extr. 4(4): 1088-1106 (2022) - [c26]Ivan Izonin
Towards Data Normalization Task for the Efficient Mining of Medical Data. ACIT 2022: 480-484 - [c25]Ivan Tsmots, Roman Tkachenko, Vasyl Teslyuk, Yurii Opotyak
Hardware Components for Nonlinear Neuro-like Data Protection in Mobile Smart Systems. CSIT 2022: 198-202 - [c24]Ivan Izonin
I-PNN: An Improved Probabilistic Neural Network for Binary Classification of Imbalanced Medical Data. DEXA (2) 2022: 147-157 - 2021
- [j3]Ivan Izonin
The Additive Input-Doubling Method Based on the SVR with Nonlinear Kernels: Small Data Approach. Symmetry 13(4): 612 (2021) - [c23]Ivan Izonin
A GRNN-based Approach towards Prediction from Small Datasets in Medical Application. ANT/EDI40 2021: 242-249 - [c22]Ivan Izonin
Input Doubling Method based on SVR with RBF kernel in Clinical Practice: Focus on Small Data. ANT/EDI40 2021: 606-613 - [c21]Ivan Izonin
An approach towards the response surface linearization via ANN-based cascade scheme for regression modeling in Healthcare. EUSPN/ICTH 2021: 724-729 - [c20]Ivan Izonin
Hybrid Classifier via PNN-based Dimensionality Reduction Approach for Biomedical Engineering Task. FNC/MobiSPC 2021: 230-237 - [c19]Ivan Izonin, Roman Tkachenko, Roman Pidkostelnyi, Olena Pavliuk, Viktor Khavalko, Anatoliy Batyuk:
Experimental Evaluation of the Effectiveness of ANN-based Numerical Data Augmentation Methods for Diagnostics Tasks. IDDM 2021: 223-232 - [c18]Roman Tkachenko
Neuro-Fuzzy Diagnostics Systems Based on SGTM Neural-Like Structure and T-Controller. ISDMCI 2021: 685-695 - [c17]Roman Tkachenko
An Integral Software Solution of the SGTM Neural-Like Structures Implementation for Solving Different Data Mining Tasks. ISDMCI 2021: 696-713 - 2020
- [j2]Roman Tkachenko
An Approach towards Increasing Prediction Accuracy for the Recovery of Missing IoT Data based on the GRNN-SGTM Ensemble. Sensors 20(9): 2625 (2020) - [c16]Ivan Izonin, Roman Tkachenko, Liliia Ryvak, Khrystyna Zub, Mariya Rashkevych, Olena Pavlyuk:
Addressing Medical Diagnostics Issues: Essential Aspects of the PNN-based Approach. IDDM 2020: 209-218
2010 – 2019
- 2019
- [c15]Ivan Tsmots
Neural-like Methods and Hardware Structures for Real-time Data Encryption and Decryption. CSIT (3) 2019: 248-253 - [c14]Ivan Izonin
Recovery of Incomplete IoT Sensed Data using High-Performance Extended-Input Neural-Like Structure. EUSPN/ICTH 2019: 521-526 - [c13]Ivan Izonin
An Extended-Input GRNN and its Application. EUSPN/ICTH 2019: 578-583 - [c12]Ivan Izonin
GRNN Approach Towards Missing Data Recovery Between IoT Systems. INCoS 2019: 445-453 - [c11]Roman Tkachenko
Committee of the SGTM Neural-Like Structures with Extended Inputs for Predictive Analytics in Insurance. Innovate-Data 2019: 121-132 - [c10]Ivan Izonin
Multiple Linear Regression Based on Coefficients Identification Using Non-iterative SGTM Neural-like Structure. IWANN (1) 2019: 467-479 - [c9]Ivan Izonin
SGD-Based Wiener Polynomial Approximation for Missing Data Recovery in Air Pollution Monitoring Dataset. IWANN (1) 2019: 781-793 - [c8]Roman Tkachenko
Committee of the Combined RBF-SGTM Neural-Like Structures for Prediction Tasks. MobiWIS 2019: 267-277 - 2018
- [j1]Roman Tkachenko
Development of the Non-Iterative Supervised Learning Predictor Based on the Ito Decomposition and SGTM Neural-Like Structure for Managing Medical Insurance Costs. Data 3(4): 46 (2018) - [c7]Anastasiya Doroshenko
Classification of Imbalanced Classes Using the Committee of Neural Networks. CSIT (1) 2018: 400-403 - [c6]Pavlo Vitynskyi, Roman Tkachenko
Hybridization of the SGTM Neural-Like Structure Through Inputs Polynomial Extension. DSMP 2018: 386-391 - [c5]Roman Tkachenko, Hakan Kutucu, Ivan Izonin, Anastasiya Doroshenko, Yurii Tsymbal:
Non-iterative Neural-like Predictor for Solar Energy in Libya. ICTERI 2018: 35-45 - [c4]Ihor Oleksiv, Ivan Izonin, Viktoriya Kharchuk, Roman Tkachenko, Anastasiia Doroshenko:
Identification of IT Sector Stakeholder's Requirements to Masters Program in Information System in Lviv Region. ICTERI 2018: 429-437 - [c3]Roman Tkachenko, Ivan Izonin, Natalia Kryvinska, Valentyna Chopyak, Nataliia Lotoshynska, Dmytro Danylyuk:
Piecewise-linear Approach for Medical Insurance Costs Prediction using SGTM Neural-Like Structure. IDDM 2018: 170-179 - 2016
- [c2]Yurii Tsymbal
A digital watermarking scheme based on autoassociative neural networks of the geometric transformations model. DSMP 2016: 231-234 - 2015
- [c1]Ivan Izonin
Learning-based image super-resolution using weight coefficients of synaptic connections. CSIT 2015: 25-29
Coauthor Index
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last updated on 2024-12-02 21:28 CET by the dblp team
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