Roman Tkachenko

According to our database, Roman Tkachenko authored at least 37 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

A Method for Reducing Training Time of ML-Based Cascade Scheme for Large-Volume Data Analysis.

Ivan Izonin, Roman Muzyka, Roman Tkachenko, Ivanna Dronyuk, Kyrylo Yemets, Stergios Aristoteles Mitoulis

Sensors, August, 2024

PCA-NuSVR Framework for Predicting Local and Global Indicators of Tunneling-induced Building Damage.

Ivan Izonin, Ali Gamra, Oleslav Boychuk, Jelena Ninic, Roman Tkachenko, Stergios Aristoteles Mitoulis

Proceedings of the 1st International Conference on Smart Automation & Robotics for Future Industry (SMARTINDUSTRY 2024), 2024

Implementation of Neuro-like Network Defuzzifier for Mobile Platform Motion Control System.

Vasyl Teslyuk, Ivan Tsmots, Roman Tkachenko, Pavlo Tkachenko, Vasyl Rabyk, Yurii Opotyak, Oleksandr Oliinyk

Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, 2024

2023

An Obstacle-Finding Approach for Autonomous Mobile Robots Using 2D LiDAR Data.

Lesia I. Mochurad, Yaroslav Hladun, Roman Tkachenko

Big Data Cogn. Comput., March, 2023

A Hybrid Two-ML-based Classifier to Predict the Survival of Kidney Transplants One Month after Transplantation.

Ivan Izonin, Yaroslav Tolstyak, Veronika Kachmar, Roman Tkachenko, Mariya Rashkevych, Valentyna Chopyak

Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, 2023

Development of a Device on FPGA to Implement the Base Operation of Neural-like Data Encryption Using Polynomials.

Ivan Tsmots, Roman Tkachenko, Vasyl Teslyuk, Vasyl Rabyk, Yurii Opotyak

Proceedings of the 18th IEEE International Conference on Computer Science and Information Technologies, 2023

An Approximation Cascade Scheme via Rational Fractions for Biomedical Data Analysis.

Ivan Izonin, Roman Tkachenko, Ostap Shcherbii, Oleh Berezsky, Iurii Krak, Maksym Oliinyk

Proceedings of the 18th IEEE International Conference on Computer Science and Information Technologies, 2023

2022

SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets.

Ivan Izonin, Roman Tkachenko, Rostyslav Holoven, Kyrylo Yemets, Myroslav Havryliuk, Shishir Kumar Shandilya

Mach. Learn. Knowl. Extr., December, 2022

I-PNN: An Improved Probabilistic Neural Network for Binary Classification of Imbalanced Medical Data.

Ivan Izonin, Roman Tkachenko, Michal Gregus

Proceedings of the Database and Expert Systems Applications, 2022

Hardware Components for Nonlinear Neuro-like Data Protection in Mobile Smart Systems.

Ivan Tsmots, Roman Tkachenko, Vasyl Teslyuk, Yurii Opotyak, Vasyl Rabyk

Proceedings of the 17th IEEE International Conference on Computer Sciences and Information Technologies, 2022

Towards Data Normalization Task for the Efficient Mining of Medical Data.

Ivan Izonin, Bohdan Ilchyshyn, Roman Tkachenko, Michal Gregus, Natalya Shakhovska, Christine Strauss

Proceedings of the 12th International Conference on Advanced Computer Information Technologies, 2022

2021

The Additive Input-Doubling Method Based on the SVR with Nonlinear Kernels: Small Data Approach.

Ivan Izonin, Roman Tkachenko, Nataliya Shakhovska, Nataliia Lotoshynska

Symmetry, 2021

Neuro-Fuzzy Diagnostics Systems Based on SGTM Neural-Like Structure and T-Controller.

Roman Tkachenko, Ivan Izonin, Pavlo Tkachenko

Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2021

An Integral Software Solution of the SGTM Neural-Like Structures Implementation for Solving Different Data Mining Tasks.

Roman Tkachenko

Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2021

Experimental Evaluation of the Effectiveness of ANN-based Numerical Data Augmentation Methods for Diagnostics Tasks.

Ivan Izonin, Roman Tkachenko, Roman Pidkostelnyi, Olena Pavliuk, Viktor Khavalko, Anatoliy Batyuk

Proceedings of the 4th International Conference on Informatics & Data-Driven Medicine, Valencia, Spain, November 19, 2021

Hybrid Classifier via PNN-based Dimensionality Reduction Approach for Biomedical Engineering Task.

Ivan Izonin, Roman Tkachenko, Michal Gregus, Liliia Ryvak, Volodymyr Kulyk, Valentyna Chopyak

Proceedings of the 18th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2021) / The 16th International Conference on Future Networks and Communications (FNC-2021) / The 11th International Conference on Sustainable Energy Information Technology, 2021

An approach towards the response surface linearization via ANN-based cascade scheme for regression modeling in Healthcare.

Ivan Izonin, Roman Tkachenko

Proceedings of the 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2021) / The 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2021), 2021

A GRNN-based Approach towards Prediction from Small Datasets in Medical Application.

Ivan Izonin, Roman Tkachenko, Michal Gregus, Khrystyna Zub, Pavlo Tkachenko

Proceedings of the 12th International Conference on Ambient Systems, 2021

Input Doubling Method based on SVR with <i>RBF</i> kernel in Clinical Practice: Focus on Small Data.

Ivan Izonin, Roman Tkachenko, Michal Gregus, Khrystyna Zub, Nataliia Lotoshynska

Proceedings of the 12th International Conference on Ambient Systems, 2021

2020

An Approach towards Increasing Prediction Accuracy for the Recovery of Missing IoT Data based on the GRNN-SGTM Ensemble.

Roman Tkachenko, Ivan Izonin, Natalia Kryvinska, Ivanna Dronyuk, Khrystyna Zub

Sensors, 2020

Addressing Medical Diagnostics Issues: Essential Aspects of the PNN-based Approach.

Ivan Izonin, Roman Tkachenko, Liliia Ryvak, Khrystyna Zub, Mariya Rashkevych, Olena Pavlyuk

Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19, 2020

2019

Committee of the Combined RBF-SGTM Neural-Like Structures for Prediction Tasks.

Roman Tkachenko, Pavlo Tkachenko, Ivan Izonin, Pavlo Vitynskyi, Natalia Kryvinska, Yurii Tsymbal

Proceedings of the Mobile Web and Intelligent Information Systems, 2019

Multiple Linear Regression Based on Coefficients Identification Using Non-iterative SGTM Neural-like Structure.

Ivan Izonin, Roman Tkachenko, Natalia Kryvinska, Pavlo Tkachenko, Michal Gregus

Proceedings of the Advances in Computational Intelligence, 2019

SGD-Based Wiener Polynomial Approximation for Missing Data Recovery in Air Pollution Monitoring Dataset.

Ivan Izonin, Michal Gregus, Roman Tkachenko, Mykola Logoyda, Oleksandra Mishchuk, Yurii Kynash

Proceedings of the Advances in Computational Intelligence, 2019

Committee of the SGTM Neural-Like Structures with Extended Inputs for Predictive Analytics in Insurance.

Roman Tkachenko, Ivan Izonin, Michal Gregus, Pavlo Tkachenko, Ivanna Dronyuk

Proceedings of the Big Data Innovations and Applications, 2019

GRNN Approach Towards Missing Data Recovery Between IoT Systems.

Ivan Izonin, Natalia Kryvinska, Pavlo Vitynskyi, Roman Tkachenko, Khrystyna Zub

Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2019

Recovery of Incomplete IoT Sensed Data using High-Performance Extended-Input Neural-Like Structure.

Ivan Izonin, Roman Tkachenko, Natalia Kryvinska, Khrystyna Zub, Oleksandra Mishchuk, Taras Lisovych

Proceedings of the 10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2019) / The 9th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2019) / Affiliated Workshops, 2019

An Extended-Input GRNN and its Application.

Ivan Izonin, Natalia Kryvinska, Roman Tkachenko, Khrystyna Zub, Pavlo Vitynskyi

Proceedings of the 10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2019) / The 9th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2019) / Affiliated Workshops, 2019

Neural-like Methods and Hardware Structures for Real-time Data Encryption and Decryption.

Ivan Tsmots, Yurii Tsymbal, Oleksa Skorokhoda, Roman Tkachenko

Proceedings of the 14th IEEE International Conference on Computer Sciences and Information Technologies, 2019

2018

Development of the Non-Iterative Supervised Learning Predictor Based on the Ito Decomposition and SGTM Neural-Like Structure for Managing Medical Insurance Costs.

Roman Tkachenko, Ivan Izonin, Pavlo Vitynskyi, Nataliia Lotoshynska, Olena Pavlyuk

Data, 2018

Piecewise-linear Approach for Medical Insurance Costs Prediction using SGTM Neural-Like Structure.

Roman Tkachenko, Ivan Izonin, Natalia Kryvinska, Valentyna Chopyak, Nataliia Lotoshynska, Dmytro Danylyuk

Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018), 2018

Non-iterative Neural-like Predictor for Solar Energy in Libya.

Roman Tkachenko, Hakan Kutucu, Ivan Izonin, Anastasiya Doroshenko, Yurii Tsymbal

Proceedings of the 14th International Conference on ICT in Education, 2018

Identification of IT Sector Stakeholder's Requirements to Masters Program in Information System in Lviv Region.

Ihor Oleksiv, Ivan Izonin, Viktoriya Kharchuk, Roman Tkachenko, Anastasiia Doroshenko

Proceedings of the 14th International Conference on ICT in Education, 2018

Hybridization of the SGTM Neural-Like Structure Through Inputs Polynomial Extension.

Pavlo Vitynskyi, Roman Tkachenko, Ivan Izonin, Hakan Kutucu

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Classification of Imbalanced Classes Using the Committee of Neural Networks.

Anastasiya Doroshenko, Roman Tkachenko

Proceedings of the Advances in Intelligent Systems and Computing III, 2018

2016

A digital watermarking scheme based on autoassociative neural networks of the geometric transformations model.

Yurii Tsymbal, Roman Tkachenko

Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

2015

Learning-based image super-resolution using weight coefficients of synaptic connections.

Ivan Izonin, Roman Tkachenko, Dmytro Peleshko, Taras Rak, Danylo Batyuk

Proceedings of the Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies", 2015