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2020 – today
- 2024
[j4]Vitalii Brydinskyi, Dmytro Sabodashko
, Yuriy Khoma, Michal Podpora, Alexander Konovalov, Volodymyr Khoma:
Enhancing Automatic Speech Recognition With Personalized Models: Improving Accuracy Through Individualized Fine-Tuning. IEEE Access 12: 116649-116656 (2024)- [c6]Illia Zaiets, Vitalii Brydinskyi, Dmytro Sabodashko, Yuriy Khoma, Khrystyna Ruda:
Integrated System for Speaker Diarization and Intruder Detection using Speaker Embeddings. CPITS 2024: 228-238 - 2023
- [j3]Volodymyr Khoma, Yuriy Khoma, Vitalii Brydinskyi, Alexander Konovalov:
Development of Supervised Speaker Diarization System Based on the PyAnnote Audio Processing Library. Sensors 23(4): 2082 (2023) - 2021
- [c5]Serhii Artemuk, Vitalii Brydinskyi, Ihor Mykytyn, Yuriy Khoma:
Application of Deep Neural Networks for EEG Signal Processing in Brain-controlled Wheeled Robotic Platform. IDAACS 2021: 81-85 - 2020
- [j2]Yuriy Khoma, Volodymyr Khoma, Michal Podpora, Aleksandra Kawala-Sterniuk, Radek Martinek, Stepán Ozana:
Synthesis of Dynamic Errors Correcting Algorithm for Auto-Balancing Bridge Methods. IEEE Access 8: 165307-165318 (2020)
2010 – 2019
- 2019
- [j1]Mariusz Pelc, Yuriy Khoma, Volodymyr Khoma:
ECG Signal as Robust and Reliable Biometric Marker: Datasets and Algorithms Comparison. Sensors 19(10): 2350 (2019) - 2018
- [c4]Volodymyr Khoma, Mariusz Pelc, Yuriy Khoma, Dmytro Sabodashko:
Outlier Correction in ECG-Based Human Identification. IC BCI 2018: 11-22 - [c3]Mikolaj P. Karpinski, Volodymyr Khoma, Valerii Dudvkevych, Yuriy Khoma, Dmytro Sabodashko:
Autoencoder Neural Networks for Outlier Correction in ECG- Based Biometric Identification. IDAACS-SWS 2018: 210-215 - [c2]Volodymyr Khoma, Mariusz Pelc, Yuriy Khoma:
Artificial Neural Network Capability for Human Being Identification Based on ECG. MMAR 2018: 479-482 - 2017
- [c1]Lukasz Wieclaw, Yuriy Khoma, Pawel Falat, Dmytro Sabodashko, Veronika Herasymenko:
Biometrie identification from raw ECG signal using deep learning techniques. IDAACS 2017: 129-133
Coauthor Index
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