Publications

Research Publications

AI, computer vision and data security research by Oleksandr Melnychenko and Pavlo Radiuk. Method summaries, evaluation context and links to original publications.

All Publications
49Publications
25Journal Articles
22Conference Papers

All Publications

Found 6 of 49 publications
Journal Articles
2026DOI

CARDIA-X: Global Semantic Transition and Rough-Set Rules for Auditable Post Hoc Electrocardiographic Explainability

Pavlo Radiuk, Oleksander Barmak, Liliana Klymenko, Iurii Krak

AI 7(9), 376
ECGExplainable AIRough SetsResearch Audit
Journal Articles
2025DOI

Towards Transparent AI in Medicine: ECG-Based Arrhythmia Detection with Explainable Deep Learning

Oleksii Kovalchuk, Oleksandr Barmak, Pavlo Radiuk, Liliana Klymenko, Iurii Krak

Technologies 13(1), 34
ECGArrhythmiaExplainable AICNN+2
Journal Articles
2024DOI

Toward Explainable Deep Learning in Healthcare through Transition Matrix and User-Friendly Features

Oleksander Barmak, Iurii Krak, Sergiy Yakovlev, Eduard Manziuk, Pavlo Radiuk, Vladislav Kuznetsov

Frontiers in Artificial Intelligence 7, 1482141
Explainable AIHealthcareDeep LearningUser-Friendly+1
Conference Papers
2024

ECG Arrhythmia Classification and Interpretation using Convolutional Networks for Intelligent IoT Healthcare System

Oleksii Kovalchuk, Olexander Barmak, Pavlo Radiuk, Iurii Krak

ICyberPhyS 2024
ECGArrhythmiaCNNIoT+2
Conference Papers
2023

Robust R-peak Detection using Deep Learning based on Integrating Domain Knowledge

Oleksii Kovalchuk, Pavlo Radiuk, Olexander Barmak, Iurii Krak

IDDM 2023
ECGR-peak DetectionDeep LearningDomain Knowledge+1
Conference Papers
2023

A Novel Feature Vector for ECG Classification using Deep Learning

Oleksii Kovalchuk, Pavlo Radiuk, Olexander Barmak, Sergii Petrovskyi, Iurii Krak

IntelITSIS 2023
ECGFeature VectorDeep LearningClassification+1