Roman Tkachenko

发表

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

Natalia Kryvinska, Ivan Izonin, Roman Tkachenko, 2019, MobiWIS.

A Non-Iterative Neural-Like Framework for Missing Data Imputation

Natalia Kryvinska, Ivan Izonin, Roman Tkachenko, 2019, Procedia Computer Science.

Development of machine learning method of titanium alloy properties identification in additive technologies

Ivan Izonin, Roman Tkachenko, Z. A. Duriagina, 2018, Eastern-European Journal of Enterprise Technologies.

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

Roman Tkachenko, Yurii Tsymbal, 2016, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).

Recovery of Missing Sensor Data with GRNN-based Cascade Scheme

Ivan Izonin, Ivanna Dronyuk, Roman Tkachenko, 2020, International Journal of Sensors, Wireless Communications and Control.

One-step Prediction of Air Pollution Control Parameters using Neural-Like Structure Based on Geometric Data Transformations

Roman Tkachenko, Oleksandra Mishchuk, 2019, 2019 XIth International Scientific and Practical Conference on Electronics and Information Technologies (ELIT).

Neural network technology for image downscaling

Ivan Izonin, Roman Tkachenko, Roman Tytyk, 2015 .

Classification of Imbalanced Classes Using the Committee of Neural Networks

Roman Tkachenko, Anastasiya Doroshenko, R. Tkachenko, 2018, 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).

Model and Principles for the Implementation of Neural-Like Structures Based on Geometric Data Transformations

Ivan Izonin, Roman Tkachenko, R. Tkachenko, 2018 .

GRNN Approach Towards Missing Data Recovery Between IoT Systems

Natalia Kryvinska, Ivan Izonin, Khrystyna Zub, 2019, INCoS.

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

Ivan Izonin, Ivanna Dronyuk, Roman Tkachenko, 2019, Innovate-Data.

An Approach towards Missing Data Recovery within IoT Smart System

Ivan Izonin, Khrystyna Zub, Roman Tkachenko, 2019, Procedia Computer Science.

The Combined Use of the Wiener Polynomial and SVM for Material Classification Task in Medical Implants Production

Ivan Izonin, Nataliia Lotoshynska, Roman Tkachenko, 2018, International Journal of Intelligent Systems and Applications.

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

Ivan Izonin, Khrystyna Zub, Roman Tkachenko, 2020, IDDM.

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

Ivan Izonin, Roman Tkachenko, Pavlo Vitynskyi, 2018, 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).

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

Natalia Kryvinska, Ivan Izonin, Khrystyna Zub, 2019, EUSPN/ICTH.

Implementation of neural networks for fuzzy and semistructured data

Vasyl Teslyuk, Roman Tkachenko, Andrii Pukach, 2011, 2011 11th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM).

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

Ivan Izonin, Roman Tkachenko, Ihor Oleksiv, 2018, ICTERI.

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

Ivan Izonin, Nataliia Lotoshynska, Roman Tkachenko, 2018, Data.

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

Ivan Izonin, Ivanna Dronyuk, Khrystyna Zub, 2020, Sensors.

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

Ivan Izonin, Roman Tkachenko, Yurii Tsymbal, 2018, ICTERI.

An Extended-Input GRNN and its Application

Natalia Kryvinska, Ivan Izonin, Khrystyna Zub, 2019, EUSPN/ICTH.

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

Ivan Izonin, Roman Tkachenko, Oleksandra Mishchuk, 2019, IWANN.

Committee of SGTM Neural-Like Structures with RBF kernel for Insurance Cost Prediction Task

Natalia Kryvinska, Ivan Izonin, Roman Tkachenko, 2019, 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON).

An approach towards missing data management using improved GRNN-SGTM ensemble method

Ivan Izonin, Volodymyr Verhun, Khrystyna Zub, 2020 .

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

Natalia Kryvinska, Ivan Izonin, Nataliia Lotoshynska, 2018, IDDM.

Gantry and bridge cranes neuro-fuzzy control by using neural-like structures of geometric transformations

Roman Tkachenko, Iryna Verbenko, 2013 .

Ансамбль нейромереж GRNN на підставі зміщених поверхонь відгуку для задач електронної комерції

Ivan Izonin, Roman Tkachenko, Pavlo Vitynskyi, 2019 .

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

Ivan Izonin, Dmytro Peleshko, Taras Rak, 2015, 2015 Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT).

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

Ivan Tsmots, Roman Tkachenko, Yurii Tsymbal, 2019, 2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT).

Data compression methods with using neurolike GTM structures

Roman Tkachenko, Pavlo Tkachenko, Irina Yurchak, 2009, 2009 5th International Conference on Perspective Technologies and Methods in MEMS Design.

FUZZY METHODS AND TOOLS FOR CRANE MANAGEMENT SYSTEM BASED ON T-CONTROLLER

Roman Tkachenko, Iryna Verbenko, 2013 .

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

Natalia Kryvinska, Ivan Izonin, Roman Tkachenko, 2019, IWANN.

Input Doubling Method based on SVR with RBF kernel in Clinical Practice: Focus on Small Data

Ivan Izonin, Nataliia Lotoshynska, Khrystyna Zub, 2021, ANT/EDI40.

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

Ivan Izonin, Nataliya Shakhovska, Nataliia Lotoshynska, 2021, Symmetry.

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

Ivan Izonin, Khrystyna Zub, Roman Tkachenko, 2021, ANT/EDI40.

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

Ivan Izonin, Roman Tkachenko, Michal Gregus, 2021, FNC/MobiSPC.

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

Ivan Izonin, Anatoliy Batyuk, Roman Tkachenko, 2021, IDDM.

RBF-Based Input Doubling Method for Small Medical Data Processing

Olena Vovk, Ivan Izonin, Khrystyna Zub, 2021, Advances in Artificial Systems for Logistics Engineering.

Missing Data Imputation Through SGTM Neural-Like Structure for Environmental Monitoring Tasks

Ivan Izonin, Roman Tkachenko, Oleksandra Mishchuk, 2019, Advances in Computer Science for Engineering and Education II.