Roman Tkachenko

48 papers C 5Misc 6Journal 10Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Artificial Intelligence for the Future of Construction. SMARTINDUSTRY Ivan Izonin, Roman Tkachenko, Nataliya Shakhovska, Rosana Caro, Antonio LaTorre, Stergios Aristoteles Mitoulis
2025	J	`jnl`	Cascade-Based Input-Doubling Classifier for Predicting Survival in Allogeneic Bone Marrow Transplants: Small Data Case. Comput. Ivan Izonin, Roman Tkachenko, Nazarii Hovdysh, Oleh Berezsky, Kyrylo Yemets, Ivan Tsmots
2025	J	`jnl`	GRNN-based cascade ensemble model for non-destructive damage state identification: small data approach. Eng. Comput. Ivan Izonin, Athanasia K. Kazantzi, Roman Tkachenko, Stergios Aristoteles Mitoulis
2025	—	`conf`	Linear ensemble model with winner-takes-all aggregation strategy for improved small data classification. ExplAI Ivan Izonin, Roman Tkachenko, Serhii Chesanov, Yaroslav Tolstyak, Myroslav Stupnytskyi
2024	J	`jnl`	A Method for Reducing Training Time of ML-Based Cascade Scheme for Large-Volume Data Analysis. Sensors Ivan Izonin, Roman Muzyka, Roman Tkachenko, Ivanna Dronyuk, Kyrylo Yemets, Stergios Aristoteles Mitoulis
2024	—	`conf`	An Adaptation of the Input Doubling Method for Solving Classification Tasks in Case of Small Data Processing. FNC/MobiSPC/SEIT Ivan Izonin, Roman Tkachenko, Myroslav Havryliuk, Michal Gregus, Pavlo Yendyk, Yaroslav Tolstyak
2024	—	`conf`	An Approach Towards Reducing Training Time of the Input Doubling Method via Clustering for Middle-Sized Data Analysis. FNC/MobiSPC/SEIT Ivan Izonin, Roman Tkachenko, Kyrylo Yemets, Michal Gregus, Yevhen Tomashy, Iryna Pliss
2024	C	`conf`	Artificial Intelligence in Medicine: Small Data Approach. IDDM Ivan Izonin, Roman Tkachenko, Iryna Pliss, Yaroslav Tolstyak, Kyrylo Yemets, Olha Chala, Myroslav Havryliuk, Stéphane Chrétien
2024	J	`jnl`	Enhanced Input-Doubling Method Leveraging Response Surface Linearization to Improve Classification Accuracy in Small Medical Data Processing. Comput. Ivan Izonin, Roman Tkachenko, Pavlo Yendyk, Iryna Pliss, Yevgeniy V. Bodyanskiy, Michal Gregus
2024	—	`conf`	Implementation of Neuro-like Network Defuzzifier for Mobile Platform Motion Control System. COLINS (1) Vasyl Teslyuk, Ivan Tsmots, Roman Tkachenko, Pavlo Tkachenko, Vasyl Rabyk, Yurii Opotyak, Oleksandr Oliinyk
2024	—	`conf`	PCA-NuSVR Framework for Predicting Local and Global Indicators of Tunneling-induced Building Damage. SMARTINDUSTRY Ivan Izonin, Ali Gamra, Oleslav Boychuk, Jelena Ninic, Roman Tkachenko, Stergios Aristoteles Mitoulis
2024	—	`conf`	Regression-based Model for Predicting Simulated vs Actual Building Performance Discrepancies. EUSPN/ICTH Ivan Izonin, Roman Tkachenko, Rosana Caro, Antonio Latorre de la Fuente, Kyrylo Yemets, Stergios Aristoteles Mitoulis
2023	C	`conf`	A Hybrid Two-ML-based Classifier to Predict the Survival of Kidney Transplants One Month after Transplantation. IDDM Ivan Izonin, Yaroslav Tolstyak, Veronika Kachmar, Roman Tkachenko, Mariya Rashkevych, Valentyna Chopyak
2023	Misc	`conf`	An Approximation Cascade Scheme via Rational Fractions for Biomedical Data Analysis. CSIT Ivan Izonin, Roman Tkachenko, Ostap Shcherbii, Oleh Berezsky, Iurii Krak, Maksym Oliinyk
2023	J	`jnl`	An Obstacle-Finding Approach for Autonomous Mobile Robots Using 2D LiDAR Data. Big Data Cogn. Comput. Lesia I. Mochurad, Yaroslav Hladun, Roman Tkachenko
2023	J	`jnl`	An improved ANN-based global-local approximation for small medical data analysis. EAI Endorsed Trans. Pervasive Health Technol. Ivan Izonin, Roman Tkachenko, Roman Bliakhar, Michal Kovác, Yevgeniy V. Bodyanskiy, Olha Chala
2023	Misc	`conf`	Development of a Device on FPGA to Implement the Base Operation of Neural-like Data Encryption Using Polynomials. CSIT Ivan Tsmots, Roman Tkachenko, Vasyl Teslyuk, Vasyl Rabyk, Yurii Opotyak
2023	—	`conf`	Machine learning for predicting energy efficiency of buildings: a small data approach. EUSPN/ICTH Ivan Izonin, Roman Tkachenko, Stergios Aristoteles Mitoulis, Asaad Faramarzi, Ivan Tsmots, Danylo Mashtalir
2022	Misc	`conf`	Hardware Components for Nonlinear Neuro-like Data Protection in Mobile Smart Systems. CSIT Ivan Tsmots, Roman Tkachenko, Vasyl Teslyuk, Yurii Opotyak, Vasyl Rabyk
2022	—	`conf`	I-PNN: An Improved Probabilistic Neural Network for Binary Classification of Imbalanced Medical Data. DEXA (2) Ivan Izonin, Roman Tkachenko, Michal Gregus
2022	J	`jnl`	SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets. Mach. Learn. Knowl. Extr. Ivan Izonin, Roman Tkachenko, Rostyslav Holoven, Kyrylo Yemets, Myroslav Havryliuk, Shishir Kumar Shandilya
2022	—	`conf`	Towards Data Normalization Task for the Efficient Mining of Medical Data. ACIT Ivan Izonin, Bohdan Ilchyshyn, Roman Tkachenko, Michal Gregus, Natalya Shakhovska, Christine Strauss
2021	—	`conf`	A GRNN-based Approach towards Prediction from Small Datasets in Medical Application. ANT/EDI40 Ivan Izonin, Roman Tkachenko, Michal Gregus, Khrystyna Zub, Pavlo Tkachenko
2021	—	`conf`	An Integral Software Solution of the SGTM Neural-Like Structures Implementation for Solving Different Data Mining Tasks. ISDMCI Roman Tkachenko
2021	—	`conf`	An approach towards the response surface linearization via ANN-based cascade scheme for regression modeling in Healthcare. EUSPN/ICTH Ivan Izonin, Roman Tkachenko
2021	C	`conf`	Experimental Evaluation of the Effectiveness of ANN-based Numerical Data Augmentation Methods for Diagnostics Tasks. IDDM Ivan Izonin, Roman Tkachenko, Roman Pidkostelnyi, Olena Pavliuk, Viktor Khavalko, Anatoliy Batyuk
2021	—	`conf`	Hybrid Classifier via PNN-based Dimensionality Reduction Approach for Biomedical Engineering Task. FNC/MobiSPC Ivan Izonin, Roman Tkachenko, Michal Gregus, Liliia Ryvak, Volodymyr Kulyk, Valentyna Chopyak
2021	—	`conf`	Input Doubling Method based on SVR with ANT/EDI40 Ivan Izonin, Roman Tkachenko, Michal Gregus, Khrystyna Zub, Nataliia Lotoshynska
2021	—	`conf`	Neuro-Fuzzy Diagnostics Systems Based on SGTM Neural-Like Structure and T-Controller. ISDMCI Roman Tkachenko, Ivan Izonin, Pavlo Tkachenko
2021	J	`jnl`	The Additive Input-Doubling Method Based on the SVR with Nonlinear Kernels: Small Data Approach. Symmetry Ivan Izonin, Roman Tkachenko, Nataliya Shakhovska, Nataliia Lotoshynska
2020	C	`conf`	Addressing Medical Diagnostics Issues: Essential Aspects of the PNN-based Approach. IDDM Ivan Izonin, Roman Tkachenko, Liliia Ryvak, Khrystyna Zub, Mariya Rashkevych, Olena Pavlyuk
2020	J	`jnl`	An Approach towards Increasing Prediction Accuracy for the Recovery of Missing IoT Data based on the GRNN-SGTM Ensemble. Sensors Roman Tkachenko, Ivan Izonin, Natalia Kryvinska, Ivanna Dronyuk, Khrystyna Zub
2019	—	`conf`	An Extended-Input GRNN and its Application. EUSPN/ICTH Ivan Izonin, Natalia Kryvinska, Roman Tkachenko, Khrystyna Zub, Pavlo Vitynskyi
2019	—	`conf`	Committee of the Combined RBF-SGTM Neural-Like Structures for Prediction Tasks. MobiWIS Roman Tkachenko, Pavlo Tkachenko, Ivan Izonin, Pavlo Vitynskyi, Natalia Kryvinska, Yurii Tsymbal
2019	—	`conf`	Committee of the SGTM Neural-Like Structures with Extended Inputs for Predictive Analytics in Insurance. Innovate-Data Roman Tkachenko, Ivan Izonin, Michal Gregus, Pavlo Tkachenko, Ivanna Dronyuk
2019	—	`conf`	GRNN Approach Towards Missing Data Recovery Between IoT Systems. INCoS Ivan Izonin, Natalia Kryvinska, Pavlo Vitynskyi, Roman Tkachenko, Khrystyna Zub
2019	—	`conf`	Multiple Linear Regression Based on Coefficients Identification Using Non-iterative SGTM Neural-like Structure. IWANN (1) Ivan Izonin, Roman Tkachenko, Natalia Kryvinska, Pavlo Tkachenko, Michal Gregus
2019	—	`conf`	Neural-like Methods and Hardware Structures for Real-time Data Encryption and Decryption. CSIT (3) Ivan Tsmots, Yurii Tsymbal, Oleksa Skorokhoda, Roman Tkachenko
2019	—	`conf`	Recovery of Incomplete IoT Sensed Data using High-Performance Extended-Input Neural-Like Structure. EUSPN/ICTH Ivan Izonin, Roman Tkachenko, Natalia Kryvinska, Khrystyna Zub, Oleksandra Mishchuk, Taras Lisovych
2019	—	`conf`	SGD-Based Wiener Polynomial Approximation for Missing Data Recovery in Air Pollution Monitoring Dataset. IWANN (1) Ivan Izonin, Michal Gregus, Roman Tkachenko, Mykola Logoyda, Oleksandra Mishchuk, Yurii Kynash
2018	—	`conf`	Classification of Imbalanced Classes Using the Committee of Neural Networks. CSIT (1) Anastasiya Doroshenko, Roman Tkachenko
2018	J	`jnl`	Development of the Non-Iterative Supervised Learning Predictor Based on the Ito Decomposition and SGTM Neural-Like Structure for Managing Medical Insurance Costs. Data Roman Tkachenko, Ivan Izonin, Pavlo Vitynskyi, Nataliia Lotoshynska, Olena Pavlyuk
2018	—	`conf`	Hybridization of the SGTM Neural-Like Structure Through Inputs Polynomial Extension. DSMP Pavlo Vitynskyi, Roman Tkachenko, Ivan Izonin, Hakan Kutucu
2018	Misc	`conf`	Identification of IT Sector Stakeholder's Requirements to Masters Program in Information System in Lviv Region. ICTERI Ihor Oleksiv, Ivan Izonin, Viktoriya Kharchuk, Roman Tkachenko, Anastasiia Doroshenko
2018	Misc	`conf`	Non-iterative Neural-like Predictor for Solar Energy in Libya. ICTERI Roman Tkachenko, Hakan Kutucu, Ivan Izonin, Anastasiya Doroshenko, Yurii Tsymbal
2018	C	`conf`	Piecewise-linear Approach for Medical Insurance Costs Prediction using SGTM Neural-Like Structure. IDDM Roman Tkachenko, Ivan Izonin, Natalia Kryvinska, Valentyna Chopyak, Nataliia Lotoshynska, Dmytro Danylyuk
2016	—	`conf`	A digital watermarking scheme based on autoassociative neural networks of the geometric transformations model. DSMP Yurii Tsymbal, Roman Tkachenko
2015	Misc	`conf`	Learning-based image super-resolution using weight coefficients of synaptic connections. CSIT Ivan Izonin, Roman Tkachenko, Dmytro Peleshko, Taras Rak, Danylo Batyuk