| 2021 | IDDM | Implementation of Reinforcement Learning Strategies in the Synthesis of Neuromodels to Solve Medical Diagnostics Tasks. | Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin, Viktor Lytvyn, Oleksandr Korniienko |
| 2020 | IDDM | Sequencing for Encoding in Neuroevolutionary Synthesis of Neural Network Models for Medical Diagnosis. | Serhii Leoshchenko, Andrii O. Oliinyk, Sergey Subbotin, Tetiana Zaiko, Serhii Shylo, Viktor Lytvyn |
| 2019 | IDDM | Implementation of Selective Pressure Mechanism to Optimize Memory Consumption in the Synthesis of Neuromodels for Medical Diagnostics. | Serhii Leoshchenko, Andrii O. Oliinyk, Sergey Subbotin, Tetiana Zaiko, Nataliia Gorobii |
| 2018 | CSIT | Feature Selection Based on Parallel Stochastic Computing. | Andrii Oliinyk, Sergey Subbotin, Valerii Lovkin, Serhii Leoshchenko, Tetiana Zaiko |
| 2018 | CSIT | Quasi-Relief Method of Informative Features Selection for Classification. | Sergey Subbotin |
| 2018 | CSIT | Knowledge-Based Recommendation System for Embedded Systems Platform-Oriented Design. | Sergey Subbotin, Olga Gladkova, Anzhelika Parkhomenko |
| 2018 | IDDM | Synthesis of Artificial Neural Networks Using a Modified Genetic Algorithm. | Serhii Leoshchenko, Andrii O. Oliinyk, Sergey Subbotin, Nataliia Gorobii, Tetiana Zaiko |
| 2018 | IDDM | The Regression Tree Model Building Based on a Cluster-Regression Approximation for Data-Driven Medicine. | Sergey Subbotin, Elena Kirsanova |