An Approach Based on the Visualization Model for the Ukrainian Web Content Classification. - Vitalii Slobodzian; Maryna Molchanova; Oleksii Kovalchuk; Olena Sobko; Olexander Mazurets; Olexander Barmak; Iurii Krak (ACIT, 2022)

Text Data Vectorization Model of Ukrainian-Language Internet Communication Content. - Vitalii Slobodzian; Oleksii Kovalchuk; Maryna Molchanova; Olena Sobko; Olexander Mazurets; Olexander Barmak; Iurii Krak (COLINS, 2022)

Human-in-the-Loop Approach Based on MRI and ECG for Healthcare Diagnosis. - Pavlo Radiuk; Oleksii Kovalchuk; Vitalii Slobodzian; Eduard Manziuk; Oleksander Barmak; Iurii Krak (IDDM, 2022)

Visual Analytics-Based Method for Sentiment Analysis of COVID-19 Ukrainian Tweets. - Oleksii Kovalchuk; Vitalii Slobodzian; Olena Sobko; Maryna Molchanova; Olexander Mazurets; Oleksander Barmak; Iurii Krak; Nataliia Savina (ISDMCI, 2022)

Robust R-peak Detection using Deep Learning based on Integrating Domain Knowledge. - Oleksii Kovalchuk; Pavlo Radiuk; Olexander Barmak; Iurii Krak (IDDM, 2023)

A Novel Feature Vector for ECG Classification using Deep Learning. - Oleksii Kovalchuk; Pavlo Radiuk; Olexander Barmak; Sergi Petrovskyi; Iurii Krak (IntelITSIS, 2023)

ECG Arrhythmia Classification and Interpretation using Convolutional Networks for Intelligent IoT Healthcare System. - Oleksii Kovalchuk; Olexander Barmak; Pavlo Radiuk; Iurii Krak (ICyberPhyS, 2024)