Biometrie identification from raw ECG signal using deep learning techniques. - Lukasz Wieclaw; Yuriy Khoma; Pawel Falat; Dmytro Sabodashko; Veronika Herasymenko (IDAACS, 2017)

Outlier Correction in ECG-Based Human Identification. - Volodymyr Khoma; Mariusz Pelc; Yuriy Khoma; Dmytro Sabodashko (IC BCI, 2018)

Autoencoder Neural Networks for Outlier Correction in ECG- Based Biometric Identification. - Mikolaj P. Karpinski; Volodymyr Khoma; Valerii Dudvkevych; Yuriy Khoma; Dmytro Sabodashko (IDAACS-SWS, 2018)

Artificial Neural Network Capability for Human Being Identification Based on ECG. - Volodymyr Khoma; Mariusz Pelc; Yuriy Khoma (MMAR, 2018)

ECG Signal as Robust and Reliable Biometric Marker: Datasets and Algorithms Comparison. - Mariusz Pelc; Yuriy Khoma; Volodymyr Khoma (Sensors, 2019)

Synthesis of Dynamic Errors Correcting Algorithm for Auto-Balancing Bridge Methods. - Yuriy Khoma; Volodymyr Khoma; Michal Podpora; Aleksandra Kawala-Sterniuk; Radek Martinek; Stepán Ozana (IEEE Access, 2020)

Application of Deep Neural Networks for EEG Signal Processing in Brain-controlled Wheeled Robotic Platform. - Serhii Artemuk; Vitalii Brydinskyi; Ihor Mykytyn; Yuriy Khoma (IDAACS, 2021)

Development of Supervised Speaker Diarization System Based on the PyAnnote Audio Processing Library. - Volodymyr Khoma; Yuriy Khoma; Vitalii Brydinskyi; Alexander Konovalov 004 (Sensors, 2023)

Integrated System for Speaker Diarization and Intruder Detection using Speaker Embeddings. - Illia Zaiets; Vitalii Brydinskyi; Dmytro Sabodashko; Yuriy Khoma; Khrystyna Ruda (CPITS, 2024)

Enhancing Automatic Speech Recognition With Personalized Models: Improving Accuracy Through Individualized Fine-Tuning. - Vitalii Brydinskyi; Dmytro Sabodashko; Yuriy Khoma; Michal Podpora; Alexander Konovalov 004; Volodymyr Khoma (IEEE Access, 2024)