Roman Tkachenko

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 36

Top Topics

Response Surface

Polynomial Approximation

Top Venues

Publications

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)
Ivan Izonin, Roman Muzyka, Roman Tkachenko, Ivanna Dronyuk, Kyrylo Yemets, Stergios Aristoteles Mitoulis
A Method for Reducing Training Time of ML-Based Cascade Scheme for Large-Volume Data Analysis. Sensors 24 (15) (2024)
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)
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)
Lesia Mochurad, Yaroslav Hladun, Roman Tkachenko
An Obstacle-Finding Approach for Autonomous Mobile Robots Using 2D LiDAR Data. Big Data Cogn. Comput. 7 (1) (2023)
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)
Ivan Izonin, Roman Tkachenko, Ostap Shcherbii, Oleh Berezsky, Iurii Krak, Maksym Oliinyk
An Approximation Cascade Scheme via Rational Fractions for Biomedical Data Analysis. CSIT (2023)
Ivan Izonin, Roman Tkachenko, Michal Gregus
I-PNN: An Improved Probabilistic Neural Network for Binary Classification of Imbalanced Medical Data. DEXA (2) (2022)
Ivan Tsmots, Roman Tkachenko, Vasyl Teslyuk, Yurii Opotyak, Vasyl Rabyk
Hardware Components for Nonlinear Neuro-like Data Protection in Mobile Smart Systems. CSIT (2022)
Ivan Izonin, Roman Tkachenko, Rostyslav Holoven, Kyrylo Yemets, Myroslav Havryliuk, Shishir Kumar Shandilya
SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets. Mach. Learn. Knowl. Extr. 4 (4) (2022)
Ivan Izonin, Bohdan Ilchyshyn, Roman Tkachenko, Michal Gregus, Natalya Shakhovska, Christine Strauss
Towards Data Normalization Task for the Efficient Mining of Medical Data. ACIT (2022)
Ivan Izonin, Roman Tkachenko, Nataliya Shakhovska, Nataliia Lotoshynska
The Additive Input-Doubling Method Based on the SVR with Nonlinear Kernels: Small Data Approach. Symmetry 13 (4) (2021)
Roman Tkachenko, Ivan Izonin, Pavlo Tkachenko
Neuro-Fuzzy Diagnostics Systems Based on SGTM Neural-Like Structure and T-Controller. ISDMCI (2021)
Ivan Izonin, Roman Tkachenko, Michal Gregus, Khrystyna Zub, Pavlo Tkachenko
A GRNN-based Approach towards Prediction from Small Datasets in Medical Application. ANT/EDI40 (2021)
Roman Tkachenko
An Integral Software Solution of the SGTM Neural-Like Structures Implementation for Solving Different Data Mining Tasks. ISDMCI (2021)
Ivan Izonin, Roman Tkachenko
An approach towards the response surface linearization via ANN-based cascade scheme for regression modeling in Healthcare. EUSPN/ICTH (2021)
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)
Ivan Izonin, Roman Tkachenko, Michal Gregus, Khrystyna Zub, Nataliia Lotoshynska
kernel in Clinical Practice: Focus on Small Data. ANT/EDI40 (2021)
Ivan Izonin, Roman Tkachenko, Michal Gregus, Liliia Ryvak, Volodymyr Kulyk, Valentyna Chopyak
Hybrid Classifier via PNN-based Dimensionality Reduction Approach for Biomedical Engineering Task. FNC/MobiSPC (2021)
Roman Tkachenko, Ivan Izonin, Natalia Kryvinska, Ivanna Dronyuk, Khrystyna Zub
An Approach towards Increasing Prediction Accuracy for the Recovery of Missing IoT Data based on the GRNN-SGTM Ensemble. Sensors 20 (9) (2020)
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)
Ivan Izonin, Roman Tkachenko, Natalia Kryvinska, Khrystyna Zub, Oleksandra Mishchuk, Taras Lisovych
Recovery of Incomplete IoT Sensed Data using High-Performance Extended-Input Neural-Like Structure. EUSPN/ICTH (2019)
Roman Tkachenko, Ivan Izonin, Michal Gregus, Pavlo Tkachenko, Ivanna Dronyuk
Committee of the SGTM Neural-Like Structures with Extended Inputs for Predictive Analytics in Insurance. Innovate-Data (2019)
Ivan Izonin, Natalia Kryvinska, Pavlo Vitynskyi, Roman Tkachenko, Khrystyna Zub
GRNN Approach Towards Missing Data Recovery Between IoT Systems. INCoS (2019)
Ivan Tsmots, Yurii Tsymbal, Oleksa Skorokhoda, Roman Tkachenko
Neural-like Methods and Hardware Structures for Real-time Data Encryption and Decryption. CSIT (3) (2019)
Roman Tkachenko, Pavlo Tkachenko, Ivan Izonin, Pavlo Vitynskyi, Natalia Kryvinska, Yurii Tsymbal
Committee of the Combined RBF-SGTM Neural-Like Structures for Prediction Tasks. MobiWIS (2019)
Ivan Izonin, Roman Tkachenko, Natalia Kryvinska, Pavlo Tkachenko, Michal Gregus
Multiple Linear Regression Based on Coefficients Identification Using Non-iterative SGTM Neural-like Structure. IWANN (1) (2019)
Ivan Izonin, Natalia Kryvinska, Roman Tkachenko, Khrystyna Zub, Pavlo Vitynskyi
An Extended-Input GRNN and its Application. EUSPN/ICTH (2019)
Ivan Izonin, Michal Gregus, Roman Tkachenko, Mykola Logoyda, Oleksandra Mishchuk, Yurii Kynash
SGD-Based Wiener Polynomial Approximation for Missing Data Recovery in Air Pollution Monitoring Dataset. IWANN (1) (2019)
Anastasiya Doroshenko, Roman Tkachenko
Classification of Imbalanced Classes Using the Committee of Neural Networks. CSIT (1) (2018)
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)
Roman Tkachenko, Ivan Izonin, Pavlo Vitynskyi, Nataliia Lotoshynska, Olena Pavlyuk
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) (2018)
Pavlo Vitynskyi, Roman Tkachenko, Ivan Izonin, Hakan Kutucu
Hybridization of the SGTM Neural-Like Structure Through Inputs Polynomial Extension. DSMP (2018)
Roman Tkachenko, Hakan Kutucu, Ivan Izonin, Anastasiya Doroshenko, Yurii Tsymbal
Non-iterative Neural-like Predictor for Solar Energy in Libya. ICTERI (2018)
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)
Yurii Tsymbal, Roman Tkachenko
A digital watermarking scheme based on autoassociative neural networks of the geometric transformations model. DSMP (2016)
Ivan Izonin, Roman Tkachenko, Dmytro Peleshko, Taras Rak, Danylo Batyuk
Learning-based image super-resolution using weight coefficients of synaptic connections. CSIT (2015)