Learning-based image super-resolution using weight coefficients of synaptic connections. - Ivan Izonin; Roman Tkachenko; Dmytro Peleshko; Taras Rak; Danylo Batyuk (CSIT, 2015)

Design and implementation of visitors queue density analysis and registration method for retail videosurveillance purposes. - Dmytro Peleshko; Yuriy Ivanov; Boris Sharov; Ivan Izonin; Yuriy Borzov (DSMP, 2016)

Two-frames image superresolution based on the aggregate divergence matrix. - Dmytro Peleshko; Taras Rak; Marta Peleshko; Ivan Izonin; Danylo Batyuk (DSMP, 2016)

Hybridization of the SGTM Neural-Like Structure Through Inputs Polynomial Extension. - Pavlo Vitynskyi; Roman Tkachenko; Ivan Izonin; Hakan Kutucu (DSMP, 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 (ICTERI, 2018)

Non-iterative Neural-like Predictor for Solar Energy in Libya. - Roman Tkachenko; Hakan Kutucu; Ivan Izonin; Anastasiya Doroshenko; Yurii Tsymbal (ICTERI, 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 (IDDM, 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)

Image Encryption and Decryption Schemes Using Linear and Quadratic Fractal Algorithms and Their Systems. - Anatoliy Kovalchuk; Ivan Izonin; Christine Strauss; Mariia Podavalkina; Natalia Lotoshynska; Nataliya Kustra (DCSMart, 2019)

An Extended-Input GRNN and its Application. - Ivan Izonin; Natalia Kryvinska; Roman Tkachenko; Khrystyna Zub; Pavlo Vitynskyi (EUSPN/ICTH, 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 (EUSPN/ICTH, 2019)

Information Protection Service using Topological Image Coverage. - Anatoliy Kovalchuk; Ivan Izonin; Mihal Gregush; Natalya Kustra (EUSPN/ICTH, 2019)

An Approach Towards Image Encryption and Decryption using Quaternary Fractional-Linear Operations. - Anatoliy Kovalchuk; Ivan Izonin; Mihal Gregush; Natalia Lotoshynska (EUSPN/ICTH, 2019)

An Efficient Image Encryption Scheme using Projective Transformations. - Anatoliy Kovalchuk; Ivan Izonin; Mihal Gregush; Oleh Riznyk (EUSPN/ICTH, 2019)

GRNN Approach Towards Missing Data Recovery Between IoT Systems. - Ivan Izonin; Natalia Kryvinska; Pavlo Vitynskyi; Roman Tkachenko; Khrystyna Zub (INCoS, 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 (Innovate-Data, 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 (IWANN (1), 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 (IWANN (1), 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 (MobiWIS, 2019)

Computational Models and Methods for Automated Risks Assessments in Deterministic Stationary Systems. - Ivan Izonin; Igor Nevliudov; Yurii Romashov (CITRisk, 2020)

Addressing Medical Diagnostics Issues: Essential Aspects of the PNN-based Approach. - Ivan Izonin; Roman Tkachenko; Liliia Ryvak; Khrystyna Zub; Mariya Rashkevych; Olena Pavlyuk (IDDM, 2020)

Information Technology for Choosing the Trademark Considering the Attitude of Consumer (short paper). - Tetiana Kysil; Ivan Izonin; Olha Hovorushchenko (IntelITSIS, 2020)

Forecast Method for Audit Data Analysis by Modified Liquid State Machine. - Tatiana Neskorodieva; Eugene Fedorov; Ivan Izonin (IntelITSIS, 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)

Input Doubling Method based on SVR with RBF kernel in Clinical Practice: Focus on Small Data. - Ivan Izonin; Roman Tkachenko; Michal Gregus; Khrystyna Zub; Nataliia Lotoshynska (ANT/EDI40, 2021)

A GRNN-based Approach towards Prediction from Small Datasets in Medical Application. - Ivan Izonin; Roman Tkachenko; Michal Gregus; Khrystyna Zub; Pavlo Tkachenko (ANT/EDI40, 2021)

An approach towards the response surface linearization via ANN-based cascade scheme for regression modeling in Healthcare. - Ivan Izonin; Roman Tkachenko (EUSPN/ICTH, 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 (FNC/MobiSPC, 2021)

Optimization of Technological's Processes Industry 4.0 Parameters for Details Manufacturing via Stamping: Rules of Queuing Systems. - Yevgen Martyn; Solomiya Liaskovska; Michal Gregus; Ivan Izonin; Oksana Velyka (FNC/MobiSPC, 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 (IDDM, 2021)

Neuro-Fuzzy Diagnostics Systems Based on SGTM Neural-Like Structure and T-Controller. - Roman Tkachenko; Ivan Izonin; Pavlo Tkachenko (ISDMCI, 2021)

The Hierarchical Classifier for COVID-19 Resistance Evaluation. - Nataliya Shakhovska; Ivan Izonin; Nataliia Melnykova (Data, 2021)

Guest editorial: Reliability and usability of machine learning and IoT for urban intelligence. - Krishna Kant Singh; Ahmed A. Elngar; Ivan Izonin (J. Reliab. Intell. Environ., 2021)

Study of the Operation Process of the E-Commerce Oriented Ecosystem of 5Ge Base Station, Which Supports the Functioning of Independent Virtual Network Segments. - Viacheslav Kovtun; Ivan Izonin (J. Theor. Appl. Electron. Commer. Res., 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)

Towards Data Normalization Task for the Efficient Mining of Medical Data. - Ivan Izonin; Bohdan Ilchyshyn; Roman Tkachenko; Michal Gregus; Natalya Shakhovska; Christine Strauss (ACIT, 2022)

I-PNN: An Improved Probabilistic Neural Network for Binary Classification of Imbalanced Medical Data. - Ivan Izonin; Roman Tkachenko; Michal Gregus (DEXA (2), 2022)

Simple Neuro-Fuzzy System with Combined Learning for Pattern Recognition under Conditions of Short Training Set in Medical Diagnostics Tasks. - Yevgeniy V. Bodyanskiy; Olha Chala; Ivan Izonin; Sergiy Popov (IDDM, 2022)

Model of Information System Communication in Aggressive Cyberspace: Reliability, Functional Safety, Economics. - Viacheslav Kovtun; Ivan Izonin; Michal Gregus (IEEE Access, 2022)

Mathematical Simulation of Behavior of Female Breast Consisting Malignant Tumor During Hormonal Changes. - Akshara Makrariya; Shishir Kumar Shandilya; Smita Shandilya; Michal Gregus; Ivan Izonin; Rahul Makrariya (IEEE Access, 2022)

Special Issue on Safe and Reliable AI for Smart Sustainable Cities. - Ivan Izonin; Stéphane Chrétien; Ali Ebrahimnejad (Symmetry, 2022)

Cyber Attack Evaluation Dataset for Deep Packet Inspection and Analysis. - Shishir Kumar Shandilya; Chirag Ganguli; Ivan Izonin; Atulya Kumar Nagar (IEEE DataPort, 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., 2022)

An Approximation Cascade Scheme via Rational Fractions for Biomedical Data Analysis. - Ivan Izonin; Roman Tkachenko; Ostap Shcherbii; Oleh Berezsky; Iurii Krak; Maksym Oliinyk (CSIT, 2023)

Machine learning for predicting energy efficiency of buildings: a small data approach. - Ivan Izonin; Roman Tkachenko; Stergios Aristoteles Mitoulis; Asaad Faramarzi; Ivan Tsmots; Danylo Mashtalir (EUSPN/ICTH, 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 (IDDM, 2023)

Effective Software Effort Estimation Leveraging Machine Learning for Digital Transformation. - Akshay Jadhav; Shishir Kumar Shandilya; Ivan Izonin; Michal Gregus (IEEE Access, 2023)

Editorial. - Ivan Izonin; Tetiana Hovorushchenko; Peter T. Popov (J. Cyber Secur. Mobil., 2023)

An improved ANN-based global-local approximation for small medical data analysis. - Ivan Izonin; Roman Tkachenko; Roman Bliakhar; Michal Kovác; Yevgeniy V. Bodyanskiy; Olha Chala (EAI Endorsed Trans. Pervasive Health Technol., 2023)

An Approach toward Automatic Specifics Diagnosis of Breast Cancer Based on an Immunohistochemical Image. - Oleh Berezsky; Oleh Pitsun; Grygoriy Melnyk; Tamara Datsko; Ivan Izonin; Bohdan Derysh (J. Imaging, 2023)

Homogeneous Adaboost Ensemble Machine Learning Algorithms with Reduced Entropy on Balanced Data. - Mahesh Thyluru Ramakrishna; Vinoth Kumar Venkatesan; Ivan Izonin; Myroslav Havryliuk; Chandrasekhar Rohith Bhat (Entropy, 2023)

Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network. - Amit Kumar Rai; Nirupama Mandal; Krishna Kant Singh; Ivan Izonin (Big Data Min. Anal., 2023)

Fast Computational Approach to the Levenberg-Marquardt Algorithm for Training Feedforward Neural Networks. - Jaroslaw Bilski; Jacek Smolag; Bartosz Kowalczyk; Konrad Grzanek; Ivan Izonin (J. Artif. Intell. Soft Comput. Res., 2023)

Smart technologies and its application for medical/healthcare services. - Ivan Izonin; Patrizia Ribino; Ali Ebrahimnejad; Mario Quinde (J. Reliab. Intell. Environ., 2023)

Mathematical models of the information interaction process in 5G-IoT ecosystem: Different functional scenarios. - Viacheslav Kovtun; Ivan Izonin; Michal Gregus (ICT Express, 2023)

Smart systems and data-driven services in healthcare. - Ivan Izonin; Hakan Kutucu; Krishna Kant Singh (Comput. Biol. Medicine, 2023)

Neuro-Fuzzy System with Adaptive Membership-Activation Functions for Pattern Recognition. - Olha Chala; Ivan Izonin; Iryna Pliss; Yevgeniy V. Bodyanskiy (ACIT, 2024)

Regression-based Model for Predicting Simulated vs Actual Building Performance Discrepancies. - Ivan Izonin; Roman Tkachenko; Rosana Caro; Antonio Latorre de la Fuente; Kyrylo Yemets; Stergios Aristoteles Mitoulis (EUSPN/ICTH, 2024)

An Adaptation of the Input Doubling Method for Solving Classification Tasks in Case of Small Data Processing. - Ivan Izonin; Roman Tkachenko; Myroslav Havryliuk; Michal Gregus; Pavlo Yendyk; Yaroslav Tolstyak (FNC/MobiSPC/SEIT, 2024)

An Approach Towards Reducing Training Time of the Input Doubling Method via Clustering for Middle-Sized Data Analysis. - Ivan Izonin; Roman Tkachenko; Kyrylo Yemets; Michal Gregus; Yevhen Tomashy; Iryna Pliss (FNC/MobiSPC/SEIT, 2024)

Artificial Intelligence in Medicine: Small Data Approach. - Ivan Izonin; Roman Tkachenko; Iryna Pliss; Yaroslav Tolstyak; Kyrylo Yemets; Olha Chala; Myroslav Havryliuk; Stéphane Chrétien (IDDM, 2024)

Artificial Intelligence for the Future of Construction - abstract. - Ivan Izonin; José M. Peña 002; Antonio LaTorre (SMARTINDUSTRY, 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 (SMARTINDUSTRY, 2024)

Synthesis of Convolutional Neural Network architectures for biomedical image classification. - Oleh Berezsky; Petro Liashchynskyi; Oleh Pitsun; Ivan Izonin (Biomed. Signal Process. Control., 2024)

Quality and Security of Critical Infrastructure Systems. - Ivan Izonin; Tetiana Hovorushchenko; Shishir Kumar Shandilya (Big Data Cogn. Comput., 2024)

Advancements in AI-Based Information Technologies: Solutions for Quality and Security. - Tetiana Hovorushchenko; Ivan Izonin; Hakan Kutucu (Syst., 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, 2024)

Multi-Step Dynamic Ensemble Selection to Estimate Software Effort. - Akshay Jadhav; Shishir Kumar Shandilya; Ivan Izonin; Roman Muzyka (Appl. Artif. Intell., 2024)

Adaptive neo-fuzzy bagging metamodel and its fast learning. - Yevgeniy V. Bodyanskiy; Ivan Izonin; Iryna Pliss; Olha Chala; Sergiy Popov (ISW-CoLInS, 2025)

Artificial Intelligence for the Future of Construction. - Ivan Izonin; Roman Tkachenko; Nataliya Shakhovska; Rosana Caro; Antonio LaTorre; Stergios Aristoteles Mitoulis (SMARTINDUSTRY, 2025)

GRNN-based cascade ensemble model for non-destructive damage state identification: small data approach. - Ivan Izonin; Athanasia K. Kazantzi; Roman Tkachenko; Stergios Aristoteles Mitoulis (Eng. Comput., 2025)