An Assessment of the Transplant's Survival Level for Recipients after Kidney Transplantations using Cox Proportional-Hazards Model. - Yaroslav Tolstyak; Myroslav Havryliuk (IDDM, 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)

Investigation of PNN Optimization Methods to Improve Classification Performance in Transplantation Medicine. - Myroslav Havryliuk; Nazarii Hovdysh; Yaroslav Tolstyak; Valentyna Chopyak; Natalya Kustra (IDDM, 2023)

Adaptive Artificial Bee Colony Algorithm for Nature-Inspired Cyber Defense. - Chirag Ganguli; Shishir Kumar Shandilya; Maryna Nehrey; Myroslav Havryliuk (Syst., 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)

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)

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)