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)

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 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)

Exploring the Role of Transformer-Based Language Models in Medical Transcript Summarization. - Mariia Zimokha; Kyrylo Yemets (IDDM, 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)