| 2024 | EUSPN | 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 |
| 2024 | FNC | 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 |
| 2024 | FNC | 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 |
| 2024 | IDDM | Artificial Intelligence in Medicine: Small Data Approach. | Ivan Izonin, Roman Tkachenko, Iryna Pliss, Yaroslav Tolstyak, Kyrylo Yemets, Olha Chala, Myroslav Havryliuk, Stphane Chrtien |
| 2023 | CSIT | An Approximation Cascade Scheme via Rational Fractions for Biomedical Data Analysis. | Ivan Izonin, Roman Tkachenko, Ostap Shcherbii, Oleh Berezsky, Iurii Krak, Maksym Oliinyk |
| 2023 | CSIT | 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 |
| 2023 | EUSPN | 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 |
| 2023 | IDDM | 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 |
| 2022 | CSIT | Hardware Components for Nonlinear Neuro-like Data Protection in Mobile Smart Systems. | Ivan Tsmots, Roman Tkachenko, Vasyl Teslyuk, Yurii Opotyak, Vasyl Rabyk |
| 2022 | DEXA | I-PNN: An Improved Probabilistic Neural Network for Binary Classification of Imbalanced Medical Data. | Ivan Izonin, Roman Tkachenko, Michal Gregus |
| 2021 | ANT | Input Doubling Method based on SVR with | Ivan Izonin, Roman Tkachenko, Michal Gregus, Khrystyna Zub, Nataliia Lotoshynska |
| 2021 | ANT | A GRNN-based Approach towards Prediction from Small Datasets in Medical Application. | Ivan Izonin, Roman Tkachenko, Michal Gregus, Khrystyna Zub, Pavlo Tkachenko |
| 2021 | EUSPN | An approach towards the response surface linearization via ANN-based cascade scheme for regression modeling in Healthcare. | Ivan Izonin, Roman Tkachenko |
| 2021 | FNC | Hybrid Classifier via PNN-based Dimensionality Reduction Approach for Biomedical Engineering Task. | Ivan Izonin, Roman Tkachenko, Michal Gregus, Liliia Ryvak, Volodymyr Kulyk, Valentyna Chopyak |
| 2021 | IDDM | 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 |
| 2020 | IDDM | Addressing Medical Diagnostics Issues: Essential Aspects of the PNN-based Approach. | Ivan Izonin, Roman Tkachenko, Liliia Ryvak, Khrystyna Zub, Mariya Rashkevych, Olena Pavlyuk |
| 2019 | CSIT | Neural-like Methods and Hardware Structures for Real-time Data Encryption and Decryption. | Ivan Tsmots, Yurii Tsymbal, Oleksa Skorokhoda, Roman Tkachenko |
| 2019 | EUSPN | An Extended-Input GRNN and its Application. | Ivan Izonin, Natalia Kryvinska, Roman Tkachenko, Khrystyna Zub, Pavlo Vitynskyi |
| 2019 | EUSPN | 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 |
| 2019 | IWANN | 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 |
| 2019 | IWANN | Multiple Linear Regression Based on Coefficients Identification Using Non-iterative SGTM Neural-like Structure. | Ivan Izonin, Roman Tkachenko, Natalia Kryvinska, Pavlo Tkachenko, Michal Gregus |
| 2018 | CSIT | Classification of Imbalanced Classes Using the Committee of Neural Networks. | Anastasiya Doroshenko, Roman Tkachenko |
| 2018 | ICTERI | 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 |
| 2018 | ICTERI | Non-iterative Neural-like Predictor for Solar Energy in Libya. | Roman Tkachenko, Hakan Kutucu, Ivan Izonin, Anastasiya Doroshenko, Yurii Tsymbal |
| 2018 | IDDM | 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 |
| 2015 | CSIT | Learning-based image super-resolution using weight coefficients of synaptic connections. | Ivan Izonin, Roman Tkachenko, Dmytro Peleshko, Taras Rak, Danylo Batyuk |