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ORCIDOleksii Kovalchuk
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2020 – today
- 2024
[c7]Oleksii Kovalchuk, Olexander Barmak, Pavlo Radiuk, Iurii Krak:
ECG Arrhythmia Classification and Interpretation using Convolutional Networks for Intelligent IoT Healthcare System. ICyberPhyS 2024: 47-62- 2023
- [c6]Oleksii Kovalchuk, Pavlo Radiuk, Olexander Barmak, Iurii Krak:
Robust R-peak Detection using Deep Learning based on Integrating Domain Knowledge. IDDM 2023: 1-14 - [c5]Oleksii Kovalchuk, Pavlo Radiuk, Olexander Barmak, Sergi Petrovskyi, Iurii Krak:
A Novel Feature Vector for ECG Classification using Deep Learning. IntelITSIS 2023: 227-238 - 2022
- [c4]Vitalii Slobodzian, Maryna Molchanova, Oleksii Kovalchuk
, Olena Sobko, Olexander Mazurets, Olexander Barmak, Iurii Krak:
An Approach Based on the Visualization Model for the Ukrainian Web Content Classification. ACIT 2022: 400-405 - [c3]Vitalii Slobodzian, Oleksii Kovalchuk, Maryna Molchanova, Olena Sobko, Olexander Mazurets, Olexander Barmak, Iurii Krak:
Text Data Vectorization Model of Ukrainian-Language Internet Communication Content. COLINS 2022: 561-571 - [c2]Pavlo Radiuk, Oleksii Kovalchuk, Vitalii Slobodzian, Eduard Manziuk, Oleksander Barmak, Iurii Krak:
Human-in-the-Loop Approach Based on MRI and ECG for Healthcare Diagnosis. IDDM 2022: 9-20 - [c1]Oleksii Kovalchuk, Vitalii Slobodzian, Olena Sobko, Maryna Molchanova, Olexander Mazurets, Oleksander Barmak, Iurii Krak, Nataliia Savina:
Visual Analytics-Based Method for Sentiment Analysis of COVID-19 Ukrainian Tweets. ISDMCI 2022: 591-607
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